In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Adam J. Schwartz, founder and CEO of DocumentReview.law, to explore what happens when a practicing attorney gets frustrated enough with existing tools to teach himself JavaScript and build a better one. Adam opens with the breaking point that sparked everything: a case with a few hundred documents where every existing platform was built for millions, making it both overkill and cost-prohibitive for the client. So he sat down in his converted garage in Los Angeles, dusted off his JavaScript knowledge, and spent two years building a prototype that eventually made professional developers chuckle — before they rebuilt it into a modern, browser-agnostic platform attorneys can use from any device. He then makes a clear-eyed case for where AI belongs in legal work and where it does not. AI can triage documents, surface the relevant ones faster, and eliminate the redundant early review passes that drive up billable hours — but until AI can stand in a courtroom, argue before a judge, or sit across from an opposing party in mediation, lawyers still need to know the case inside out. His governing principle is simple: trust but verify. He then pulls back the curtain on why document review consumes roughly seventy-five percent of discovery costs — the combination of hundreds of attorney hours and expensive vendor storage infrastructure — and explains how DocumentReview.law attacks both. He closes with a vision of legal practice where AI handles the ministerial work so attorneys can spend more time on the two things only humans can do: building the case and building the relationship with the client. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Aidan McCarty, co-founder and co-CEO of Verified, to make the case that the way we prove who we are on the internet is about to look as dated as the fax machine — and that a phone number is the identity primitive that survives what comes next. Aidan opens with the Stripe analogy at the heart of Verified's thesis: Stripe didn't make payments better, it made payments disappear, and that is exactly what Verified is doing for signup. Where a typical fintech onboarding flow takes 161 seconds, 16 clicks, and loses forty percent of users along the way, Verified does it in 9.3 seconds — a user enters a phone number, confirms their first name, and their real identity fills itself in from authoritative sources. He then flips the intuition that speed and security trade off against each other: autofilling data from trusted sources is dramatically more secure than letting anyone type whatever they want into a form, because forms are exactly how fraudsters construct fake identities with dark web Social Security numbers. Regulators are catching up, with FinCEN, OCC, and FDIC jointly authorizing autofill as a compliant onboarding method. The conversation then turns to the bigger existential case: as AI agent traffic on the internet rounds up toward one hundred percent, the question of whether someone is actually a human — and which human — becomes the scarcest and most valuable signal on the web. A phone number, with its tenure, carrier data, activity history, and real-world cost, is almost impossible for an AI to fake and almost impossible for a human not to have, making it the missing identity primitive of the twenty-first century. Aidan closes with a prediction: forms will disappear the way fax machines did — not because someone built a better form, but because an obviously superior alternative already exists. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jen Grogono, founder and CEO of uStudio, to explore why the future of enterprise training and internal communications looks a lot more like Spotify than a company intranet. Jen opens with the founding story of ON Networks in 2006, where the challenge of syndicating original content across a hundred different endpoints — each with different metadata, formats, and technical requirements — planted the seed for what would become uStudio. When she saw enterprises building massive libraries of training and marketing content with no infrastructure to manage or measure them, the pivot was clear. She breaks down why the measurement layer is so critical to enterprise buyers: it is not enough to send a message, leaders need to know what is landing, who tuned out at the twenty percent mark, and what is actually changing behavior. That feedback loop, built on a secure instrumented platform inside corporate networks, is what separates content that moves people from content that gets ignored. She then addresses AI's role in two directions simultaneously — as the subject of urgent workforce change management that demands better communication, and as the engine making content creation, personalization, and discovery faster and more targeted than ever. Her product AutoCast turns corporate documents and knowledge bases into audio, so AI can surface the right three-second clip or five-minute deep dive exactly when a worker needs it. She closes with a vision of the enterprise as an always-on Spotify-like network — personalized to each worker's role, consumption habits, and learning needs, delivered through their phone at any idle moment — and makes the case that the companies that build that infrastructure now will be the ones whose messages actually land when it matters most. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Kevin Pickhardt, Executive Chairman of Pharos Systems International, to make the case that one of the most overlooked vulnerabilities in enterprise IT is sitting right there in the corner of every office floor — the printer. Kevin opens with a career that began at Xerox forty years ago and traces the surprisingly consistent thread through every transformation since: printing never went away, but the infrastructure managing it never kept up. He explains why printing has been uniquely resistant to modernization — historically owned by facilities rather than IT, split across drivers, print servers, endpoints, and physical documents with no single accountable owner, and architecturally built on trust rather than zero trust. A printer today accepts any file from anyone who can reach it on the network, which is precisely the opposite of how modern security is supposed to work. He then walks through how hybrid work and COVID fundamentally changed print behavior — breaking the personal relationship between employee and device, driving printing into home networks enterprises couldn't control, and forcing organizations to rethink printing not as a connection from desk to nearby printer but as a cloud-based queue accessible from anywhere. He closes with a clear vision of what modern printing infrastructure has to become: cloud native, user-centric and identity-first, integrated with broader IT systems rather than siloed, and secured end-to-end with data loss prevention that can flag when someone suddenly starts printing sensitive financial documents. The paperless office, Kevin notes, was a prediction made forty years ago and still hasn't arrived — and the organizations that accept print as a permanent fixture and modernize it accordingly will be the ones that close the security gap before someone else exploits it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Shannon Flanagan, founder and CEO of Retail Women in Tech, to make a case that the most important thing missing from most AI transformation efforts isn't better technology — it's the right people in the room. Shannon opens with a career that started at 18 folding jeans and evolved through merchandising, consulting at Accenture, and leadership roles at Gap, Lands' End, and Macy's, shaped throughout by a single question she discovered at 25: what does it take to create the conditions where people love what they do every day? That question led her to organizational design, change management, and eventually to founding a nonprofit she describes as the hardest, poorest, and most fulfilling chapter of her life. She built Retail Women in Tech not to create another exclusive senior women's network, but to get more women — at every level, function, and age — into the rooms where AI decisions are being made, because she believes the qualities women have historically been told to downplay are exactly the ones the AI era will reward most. On change management, Shannon introduces a framework as simple as it is powerful: potential minus interference equals performance, and argues that most AI transformations fail because leaders lead with technology and ROI instead of starting with human readiness, trust, and psychological safety. She closes with a forward-looking vision of what success will look like in retail and beyond — not functional expertise, but judgment, discernment, ethics, and connection — and a challenge to women entering the field to stop waiting until they feel ready for AI roles and start recognizing that what they bring is exactly what the future needs. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Allen Dine, Chief Business Officer at Care2You, to explore what it actually takes to deliver emergency and hospital-level care inside someone's home — and how AI is making that possible at scale across one of the most complex urban environments in the world. Allen opens by tracing a career defined by a refusal to wait for someone else to solve the problem, from learning SQL to build his own data warehouse to deploying AI voice agents for patient intake — because in home care, if you want change, you have to build it yourself. He then walks through how Care2You uses voice AI for the highest-stakes first contact in healthcare: patient intake screening. The agents collect vitals, demographics, and recent history, cut a five-minute clinical call to under two minutes, and flag red flags — but they never make clinical decisions. Every conversation is fully audited so clinicians can review exactly what happened before stepping in, keeping the human always in the loop and the process never a black box. The dispatch and routing challenge gets equal attention: matching the right clinician to the right patient across New York City's five boroughs in real time, accounting for traffic, acuity, and a patient load that isn't fully known until the day unfolds. AI compresses what used to take ten minutes of dispatcher judgment into seconds, presenting ranked options that humans can override and adjust. Allen closes with a vision of hospital-at-home that goes beyond just moving the site of care — arguing that the real opportunity is educating patients about what conditions can be safely and comfortably treated at home, so that recovery happens surrounded by family, pets, and familiar routines rather than hospital walls, at lower cost to everyone involved. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Furkat Kasimov, London-based entrepreneur, angel investor, and author, to explore what it takes to build and invest wisely in the AI era — before the crowd figures it out. Furkat opens with a origin story that predates the current AI boom by a decade, tracing his first investment to an InsureTech conference where he spotted a deepfake detection company called PinDrop Security and recognized that every dangerous technology creates a market for its antidote. That insight became the founding logic of Applayerai, a venture studio built around predicting what solutions large corporations will need in five to ten years — and building them before those corporations think to ask. He then unpacks the philosophy behind his book Don't Do This, explaining why he focused on cataloguing over 150 business mistakes rather than celebrating success stories: timing and luck can't be replicated, but someone else's mistakes can be avoided. He closes with sharp advice for executives navigating the AI stack: treat foundation models like cloud providers and build for model independence so you can swap them out without rebuilding everything; match model cost to task complexity rather than defaulting to the most powerful option for everything; and always measure the cost of completing a workflow so you can actually optimize it. His parting message cuts through the noise simply — don't lose sight of what makes your business great, treat AI as a utility, and build the knowledge base that lets your agents keep improving over time. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Edwin Miranda, founder of Konsultora, to explore what it actually means to build an organization for the AI era — not just one with more tools, but one with less distance between a signal, a decision, and an action. Edwin opens by tracing the common thread across his career in advertising, political strategy, and customer experience: competition and decision-making. Every domain is ultimately about understanding what is changing, making better decisions faster, and adapting before your competitors do. AI, he argues, is the first technology that can sit inside that process and accelerate every step of it. He then addresses the economic pressure bearing down on traditional agency and consulting models — research that took weeks now takes minutes, media buying is increasingly algorithmic, content scales infinitely, and reporting can be automated — meaning businesses built on selling hours to produce those outputs are facing an existential reckoning. The answer is not to resist but to rebuild: moving from selling execution to building the systems, workflows, and decision-making capabilities that let organizations operate differently. Edwin then tackles the accountability question head-on, arguing that as AI moves from answering questions to taking actions, agents need identities, permissions, and audit trails just like any employee — because autonomy without accountability is not transformation, it is risk. He closes with a nuanced take on the human-versus-AI debate, rejecting the framing entirely. The goal is not to remove humans but to remove friction around them, freeing up human capacity for the judgment, creativity, and trust that machines cannot replicate. The companies that thrive will not be those that simply bought AI first — they will be the ones that learned to signal, decide, act, and adapt faster than the world around them changes. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Antonio Mallia, founder and CEO of Seltz.ai, to explore one of the most overlooked infrastructure questions in the AI era: what happens to web search when the user is no longer a human? Antonio opens with a career that runs from the University of Pisa's information retrieval tradition through a PhD at NYU to research roles at Amazon, Pinecone, and Bloomberg — and traces the moment the idea for Seltz crystallized while building Alexa's question answering engine, when it became clear that the next consumer of search results was not a person but a machine. He then explains why Seltz took the harder path of building its own full retrieval stack from scratch rather than wrapping Google or Bing like most AI search products — and why that distinction matters deeply. Traditional search engines were optimized for human patience: ranked lists, short snippets, spell correction, ambiguous queries refined over multiple attempts. LLMs need something fundamentally different — full paragraphs without truncation, long and specific queries that nail the topic on the first attempt, and above all, freshness, because the one thing a model cannot learn in training is what happened after its cutoff date. Seltz also focuses its index on the content LLMs struggle most with — tables, financial records, SEC filings, and structured data that traditional crawlers skip and models cannot reliably memorize. Antonio closes with a prediction that reframes the entire stakes of what he is building: human search queries have plateaued, but machine queries are growing exponentially, and as people spawn multiple specialized agents to handle their knowledge work, the query load on web infrastructure will reach a scale never seen before. The companies that build for that future — with efficiency and freshness at their core — will define the next twenty years of the web. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Harvey Liu, CEO of LevX Exchange, to explore what happens when traders stop using exchanges and start building their own. Harvey opens with his origin story — one of the first Bitcoin investors in China in 2013, conducting due diligence on early exchanges like Huobi and OKCoin from a VC firm at a time when blockchain was still the Wild West, and nobody on an investment committee wanted to hear about it. Over the following decade, he tracked the industry, moved to Singapore, reviewed over fifty Web3 projects, and eventually concluded he had the network, the technology background, and the trader's perspective to build something better. That trader-first philosophy shapes everything about LevX — from onboarding that collapses KYC to a single ID and selfie validated in under thirty seconds, to a multi-trade feature that lets users hold up to ninety-nine positions on a single trading pair simultaneously, something Harvey says no other major exchange offers. The community layer is equally distinctive: LevX works closely with reputable crypto KOLs to publish exclusive educational content and live trading feeds, and runs bug bounty and suggestion programs that give the most engaged users real influence over the product roadmap. Harvey closes with a clear-eyed view of where exchanges are heading — toward consolidation, diversification into stocks and commodities, and a flight to quality as the pump-and-dump era fades. His conviction is simple: the exchanges that survive will be the ones that actually help their users build wealth, not just trade volume. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Michael Ashoori, founder and president of Ashoori Law, to cut through the confusion that surrounds U.S. immigration for entrepreneurs, investors, and skilled professionals. Michael opens with the personal foundation of his practice — as the first American-born member of an immigrant family, he brings an empathy to client relationships that goes beyond legal expertise, drawing directly on his parents' experience of building a life and a business in a new country. He then tackles the most common misconceptions he encounters: that there are only a handful of immigration pathways available, that investors must commit to high-cost options like the EB-5, and that clients need to have everything figured out before they ever pick up the phone. In reality, Michael argues, an early consultation with an immigration attorney is one of the highest-leverage moves a founder or investor can make — not only because there are often multiple compelling pathways worth weighing, but because many firms charge flat fees regardless of when you engage, meaning waiting until you have done all the legwork costs you the most valuable part of the relationship. He addresses AI's growing role in immigration law honestly: it can make certain aspects of case preparation more efficient, but it is not a substitute for the strategic judgment that defines good immigration counsel, and any usage must be grounded in professional ethics. He closes with a candid, speculative look at where immigration is heading — acknowledging that employment-based categories tied to labor market demand may face pressure as AI and robotics advance, while investment and merit-based pathways may prove more durable. His bottom line: consult early, understand your options, and do not assume the path you have heard about is the only one available to you. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Tarek Saab, CEO of Texas Precious Metals, to explore why where your gold sits matters more than most investors have ever stopped to consider — and what it took to build the infrastructure to do something about it. Tarek opens with the founding story of Texas Precious Metals in 2011, when the precious metals industry was still largely offline and shipping high-value packages safely across the country was a logistical and insurance puzzle nobody had cracked. He traces the company's growth from a pioneering e-commerce model to one of the world's most technologically advanced depositories, with more than fourteen billion in assets under custody secured by SWAT teams, facial recognition, fog detectors, and real-time bar-level accounting that tracks every ounce like a seat in a stadium. The conversation then shifts to the central premise behind the Yall Street ETFs: more than ninety-five percent of the metal backing US gold and silver ETFs is held overseas, with the vast majority in London. Before COVID, geopolitical instability, supply chain disruption, and the 2022 removal of Russia from the SWIFT system, that largely didn't matter. Now it does — and Tarek spent fifteen months building out the depository network and bullion bank relationships needed to back ETFs with one hundred percent US-domiciled metal. He closes with a macro view of where precious metals are heading: what he sees as the early innings of a commodity super cycle, a financial world in structural transition, and gold that has quietly outperformed the S&P 500 total return by nearly two times over the last twenty-five years — with zero correlation to equities. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Sahil Aggarwal, founder of Von, to make a blunt case that the go-to-market function has been left behind while every other part of the business got transformed by AI — and that the window to fix it is now. Sahil opens with a decade of conviction built from doing B2B sales himself, building software for it, and advising large pharma companies on sales efficiency: the deals were never won because of the product or the CRM. They were won because of the workflow around it, and that workflow has always been broken. He then delivers a striking data point — while the industry talks about sellers spending seventy percent of their time on admin, Von's own study of over a thousand sellers found the real number is even worse. Less than fifteen percent of a seller's day is spent on customer-facing activities. The rest is prep, follow-up, CRM updates, and busywork that AI can now handle. He draws the analogy to Henry Ford's transition from horse-drawn carriages to the combustion engine — a shift so fundamental it required rethinking the entire form factor, not just the engine — and argues that go-to-market is at exactly that inflection point now. Von sits at the intelligence layer, connecting to a company's full go-to-market stack and handling pipeline analysis, forecast prep, territory planning, and Salesforce updates in plain language. He closes with a bold prediction: the models capable of delivering this future already exist. Quoting Anthropic's Dario Amodei, he argues that even if AI development stopped today, the current capabilities haven't fully distilled into society yet — and a revenue org that figures that out first can generate three to five times more output with the same team. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Gary S. Michel, former Chairman and CEO of JELD-WEN and author of Decomplify, to explore why the most dangerous thing a leader can do is mistake busyness for progress. Gary opens by tracing his path from mechanical engineer to global CEO, noting that he never set out to run a company — he just kept chasing bigger problems, until he realized the hardest ones were never technical. They were organizational. That insight became the foundation of his leadership philosophy and his book, which centers on a single uncomfortable truth: organizations don't get complicated because people are careless — they get complicated because people care too much, too fast, adding meetings, metrics, and initiatives with good intentions until the original purpose gets buried under what he calls process debt. He defines simplicity not as a style but as a discipline — the hard, daily work of saying no, identifying the critical few things that actually matter, and subtracting everything that doesn't move the organization forward. He is careful to distinguish simple from easy: simple is the destination, and getting there requires leaders to constantly ask who they are solving for and what they can stop doing to make room for what actually counts. He closes with a clear-eyed take on AI — not dismissive, but grounding. AI will amplify organizations, not fix them. If a company lacks clarity, purpose, or healthy culture, AI will help it become confused faster. The leaders who win will not be the ones with the most technology. They will be the ones who know which decisions belong to AI and which belong to people — and who use every tool available to eliminate complexity rather than create it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Christopher Sprague, CEO and co-founder of Enluma Leadership Group, to make the case that one of the most valuable investments a company can make has been locked behind a velvet rope for decades. Chris opens with an unlikely origin story — a high school calculus teacher who created an environment where students worked harder than they thought possible and actually loved doing it — and traces how that memory followed him through a PhD in toxicology, twenty years of leading complex transformations across Fortune 100 pharma companies, and eventually to founding a leadership platform built for the people organizations consistently overlook. The middle. Not the high performers or the low performers, but the sixty-five to eighty percent of the workforce that keeps things running — and that a ten percent improvement in would transform an entire company's culture, productivity, and revenue. Chris breaks down why high-quality coaching has historically stayed at the top of the org chart: it has always been human-heavy, expensive, and unscalable. AI changes that equation, but not by replacing the human element. Enluma's approach uses AI for the spark — curiosity-based questions, nudges, action plans — while insisting that real behavior change only happens in an environment where people try, fail, get feedback, and learn alongside others. He closes with a sharp critique of how organizations measure leadership development today — counting completed workshops and training hours instead of behavior change and business impact — and argues that until companies measure what actually matters, they will keep getting what they have always gotten: notes that collect dust on a shelf and people who go right back to their old habits on Monday morning. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Pedro Andrade, VP of AI at Talkdesk, to challenge everything the industry thinks it knows about AI in the contact center. Pedro opens by drawing a straight line from the dot-com boom to today's AI wave — both rewarded the same thing: speed of execution, willingness to experiment, and relentless focus on customer value. He then breaks down Talkdesk's Customer Experience Automation framework — a discover, build, orchestrate, and measure cycle that starts not with a vendor pitch but with a company's own data, identifying where friction actually lives before prescribing any solution. The most valuable part of the conversation comes when Pedro confronts the gap between AI demos and real deployments head-on, describing much of his job as dismantling fairy tales. He walks through two concrete case studies: a telecom company that replaced a broken IVR tree with a conversational AI that lifted successful call transfers from fifty-five to eighty-seven percent and boosted sales conversion by twenty-six percent, and a back-office team where fourteen full-time employees manually qualifying leads across four systems were replaced by a single AI agent , freeing the humans for higher-value work. He closes with a bold vision of the contact center's future: not a room full of agents answering calls, but a small team of humans monitoring a fleet of AI agents in real time, guiding rather than replacing them. And beyond that, a world where the contact center becomes unnecessary altogether, because AI anticipates the problem before the customer ever has to call. If you liked what you heard today, please leave us a review - Apple or Spotify .  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mohan Gulati, CEO and co-founder of Thinkrr.ai, to explore how voice AI is quietly transforming one of healthcare's most overlooked touchpoints — the independent pharmacy. Mohan opens with the moment that pushed him out of the enterprise world: watching Fortune 500 companies freeze in the face of AI while smaller businesses were eager to move fast and get started. That energy drew him toward SMBs, and eventually toward independent pharmacies, where a group of progressive owners reached out looking for a solution that simply didn't exist yet. What Thinkrr built handles between four hundred and six hundred patient calls per day at flagship accounts, with HIPAA compliance, under forty millisecond response times, and instant pharmacist handoff for anything requiring human judgment. Mohan explains how the team avoids the hallucination risk that makes AI in healthcare particularly high stakes — by breaking conversations into segments, grounding responses in live pharmacy management system data, and maintaining a constant observability layer that watches for anything going off the rails. He is clear that improvement, not perfection, is the goal, and that the system's design naturally limits the risk of serious errors because the physical safeguards of prescription pickup already exist. He closes with a vivid vision of the pharmacy in 2031 — not as a place that answers phones and fills pills, but as the front door to community healthcare, where AI and robotics handle the administrative and logistical burden so that pharmacists can do what they are uniquely qualified to do: provide real healthcare guidance to patients who need it and can't easily access a doctor. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Peter Carnochan, psychologist, psychoanalyst, executive coach, and author, to explore what happens when three decades of deep clinical work meets the high-stakes world of Silicon Valley leadership. Peter opens by tracing his unusual path from studying Nietzsche at Harvard to working with troubled youth, explaining that philosophy and therapy were never separate pursuits for him — both were attempts to get to the bottom of things. He then unpacks countertransference, the central concept of his book Looking for Ground, and why a therapist's own emotional reactions in the room are not noise to be filtered out but signal to be read. Just as a golf pro learns more watching a full swing on the range than hearing a description of it over the phone, a psychoanalyst learns more from how a client makes them feel than from almost anything the client says. That same principle carries directly into his executive coaching work, where he pays close attention to how leaders impact him in the room — because that impact is likely a close approximation of what their teams, boards, and investors experience every day. He shares the story of a third-time founder navigating explosive growth, venture capital pressure, and the seductive pull of AI-enabled speed, describing the real work not as eliminating struggle but as learning to stay within the human realm rather than chasing an Icarus-like ascent. He closes with a reflection on what AI cannot replace in the therapeutic relationship — the deeply mammalian, biologically rooted experience of attachment and connection through which human beings develop agency, creativity, and the capacity to keep reinventing what it means to be fully alive. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Allie Kline, interim CEO of Innovation Labs at Identity Digital, to tackle one of the most urgent and overlooked problems in the AI era: accountability. Allie opens by drawing a through line across her career — from AOL's separation from Time Warner to the Yahoo integration — arguing that every major technology shift creates a moment where foundational infrastructure either gets built or gets retrofitted painfully later. AI accountability is that moment right now. She explains why the current gap is so dangerous: today's AI agents mostly operate within a single organization's walls, where responsibility is relatively clear. But as agents increasingly cross organizational boundaries to interact with customers, suppliers, partners, and other agents, accountability needs to travel with them — and no existing standard makes that possible. Innovation Labs is focused on that specific missing piece: not authentication, not authorization, but a simple, neutral, interoperable way for any organization to identify who is responsible for an agent, regardless of where it was built or where it operates. Allie frames it as a birth certificate for AI — not a replacement for all the governance that builds on top, but the foundational layer everything else depends on. She closes with a vision of five years from now where that foundation is so embedded it becomes invisible, the way HTTPS or Wi-Fi is invisible today — something people simply expect to work. Her warning is clear: the window to build this foundation before the risks compound is open now, and the people closest to the problem are the ones who need to build it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Rory Blundell, CEO of Gravitee, to explore why the infrastructure built for the API economy is fundamentally unprepared for the agentic era — and what it will take to fix that before the risks outpace the rewards. Rory opens with the story of joining Gravitee during the pandemic, taking a fifty percent pay cut to bet on a four-person company he believed in after using the software himself, and scaling it to over 180 employees and forty million in revenue. He then makes a sharp argument: traditional API gateways were architected around humans as the center of gravity, and that assumption breaks the moment autonomous agents enter the picture. Agents move faster, authenticate differently, require far more granular authorization, and increasingly act on behalf of humans in ways that legacy governance tools simply were not designed to handle. To solve this, Gravitee built Gamma — a unified control plane that Rory describes as finally putting the keypad and the door in the same platform, eliminating the dangerous gap that lets agents bypass governance layers entirely. He breaks the governance crisis down into three compounding problems: no enforcement layer, no proper identity framework for non-human actors, and no reliable way to give agents the context they need to operate safely. The conversation closes with a forward-looking take on what a truly governed agentic enterprise requires — and Rory's conviction that the answer is not more rules, but a central governance control point sophisticated enough to make human-in-the-loop decisions dynamically, so that agents and humans can work in harmony rather than in competition. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mandi Bateman, CEO and co-founder of Profile Health, to explore what happens when whole genome sequencing, longitudinal patient data, and clinical intelligence come together to give physicians a complete picture of who their patient really is. Mandi opens with hard-won lessons from her previous startups — most importantly, that precision medicine direct to consumer is a race to the bottom, and that the right path to scaling this kind of complex, data-heavy care is through the hands of physicians who have the training and trust to use it well. She explains why Profile Health deliberately chose the cash pay healthcare vertical as its beachhead: free from the constraints of insurance reimbursement, physicians in this space are already seeking advanced diagnostic tools, and patients are actively asking for them. The personal dimension runs deep — Mandi's own autoimmune disease was addressed through this kind of medicine, and her co-founder and chief science officer bring decades of clinical and molecular expertise that have made physician adoption remarkably smooth. On the trust question, she is direct: patients are not afraid of genomic testing — they want it — and the rare hesitation comes from fear of what they might find, not from privacy concerns. She closes with a vision of precision medicine at scale: whole genome sequencing as a one-time foundation, layered with wearables, biomarkers, and longitudinal data to enable truly preventative care that catches disease before it starts. Her conviction is that as sequencing costs continue to fall and consumers grow more engaged in their own health, the mainstream is closer than most people think — and the physicians who have the right tools will be the ones who lead the way there. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Alfredo González Briseño, policy innovator, author, and founder of fAIrly Simple, to explore why the biggest gap in AI governance isn't what governments are regulating — it's how they're doing it. Alfredo opens by drawing a direct parallel between building a successful business and building effective regulation: both require a managed life cycle, stakeholder input, evidence-based decisions, transparency, and ongoing review. Skip the process and you get what he calls weekend rules — surprise announcements that nobody saw coming, that nobody can explain, and that often get reversed days later. He makes this concrete with two recent examples: the Anthropic export control directive, which arrived without public explanation and was partially reversed within weeks, and Illinois's AI Safety Measures Act, a fifty-plus page law that never states the problem it is trying to solve and layers eighty to ninety obligations onto companies without a clear cost-benefit assessment. Neither case is an attack on the intent behind the regulation, but both reveal what happens when the how is missing. Alfredo then introduces fAIrly Simple, his GovTech startup built to reduce regulatory friction for businesses navigating complex, multi-jurisdictional environments — starting with the foundational problem of making regulations easier to find, understand, and act on, particularly for firms entering unfamiliar markets. He closes with his vision for effective AI governance over the next decade: a genuinely multidisciplinary effort that brings technologists, industry players, and policymakers together under a mindset of regulatory humility — recognizing that no one has all the answers, and that the only way forward is through collaboration, coordination, and leaders willing to listen before they legislate. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jason Allan Scott, serial entrepreneur, nine-time exit veteran, and founder of the Soul Method, for a masterclass in building businesses that create freedom instead of obligation. Jason opens with two defining moments: a childhood film that planted the belief that what one person can do, another can do too — a mantra that carried him out of poverty and civil unrest — and a later realization that he had been measuring the wrong thing entirely. Chasing revenue, he discovered, builds golden handcuffs. Chasing options builds a life. He breaks down why so many founders accidentally turn their businesses into jobs, explaining that experts who start companies solve every problem with their own expertise until the business simply cannot function without them — which is precisely what makes it unsellable. From there, Jason introduces his formula for evaluating any business opportunity: Unique, Sticky, Expensive, AIR — meaning anyone can explain what you do to a friend in a single sentence, turning every customer into a walking billboard. He illustrates it through the Soul Method and his med tech company, where buying machines at twelve thousand and helping clients earn fifty thousand made the value proposition almost frictionless. He closes with a forward-looking take on entrepreneurship in the AI age — arguing that information is about to become worthless, and that what will be truly scarce are judgment, taste, trust, relationships, and distribution. His parting advice to founders: solve pain, not preferences; own the customer relationship; build systems that run without you; and never forget that revenue is vanity, but profit and freedom is sanity. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Chirag Patel, physician, founder, and ESPN injury analyst, to explore what happens when clinical precision meets elite sports, investment strategy, and the drive to democratize access to world-class care. Chirag opens with a deceptively simple insight — the foot is the body's smallest lever with the largest downstream effect — and traces how following that constraint led him from podiatry to professional sports medicine to enterprise development. The moment that crystallized everything was two patients with the same ankle injury in the same week: a pro athlete who avoided surgery because he had a team around him at all hours, and a working person who ended up in the operating room because he had a printed sheet of exercises and a six-week follow-up. Same diagnosis, radically different outcomes — and the only variable was access. As ESPN's resident injury expert, Chirag explains how he navigates commenting on athletes he has never treated: he speaks to injury patterns, not individual people, and he is always transparent about where his knowledge ends, because a system that won't tell you when it doesn't know isn't intelligent — it's just confident. He then breaks down what data actually matters in return-to-play decisions — limb asymmetry, rate of force development, consistent daily signals — and why pain and calendar are still the dominant but deeply flawed tools most teams rely on. He closes with a vision of the breakthrough that could change everything: not better sensors or more data, but a true decision layer that works the way Google Maps works — knowing exactly where you are right now, recalculating without judgment when you go off course, and delivering guidance built for you specifically, not for the average population. The goal is to give every athlete, from a 16-year-old with a parent and a phone to a seasoned pro, the kind of support that currently only money can buy. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Brian Trzupek, Senior Vice President of Product at DigiCert, to explore what it means to build digital trust in a world where AI agents are multiplying faster than anyone can track them. Brian opens with a career arc that spans founding Creduware, fighting cybercrime at Trustwave, and testifying before Congress on the 2013 Target breach — experiences that sharpened his ability to translate deeply technical security concepts for non-technical audiences, from policymakers to boardrooms. He then unpacks DigiCert's agent passport framework, a four-layer cryptographically signed credential combining identity, policy, lineage, and ownership that gives enterprises the one thing they want most from their AI deployments: a kill switch. With some customers deploying four hundred agents per week and hundreds of MCP servers per quarter, the ability to find, identify, and stop a misbehaving agent is no longer theoretical — it is urgent. The conversation then turns to quantum readiness, where Brian makes the case that the first move is always inventory — you cannot protect what you do not know you have — and that true crypto agility is the goal, because it solves not just quantum risk but also shrinking certificate lifespans, Chrome deprecations, and mass revocation events all at once. He closes with a vision of the winning enterprise as one that treats identity and trust not as a bolt-on for each new technology wave, but as a single automated foundational layer spanning humans, devices, workloads, agents, and content — built to handle whatever comes next, at whatever speed AI decides to move. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Moody Abdul, co-founder and CEO of Klarify, to explore how a deeply personal journey through therapy — and a family shaped by the Lebanese Civil War — became the foundation for a company built to give mental health professionals their time back. Moody shares how his own therapist's frustration with documentation tools sparked the idea for Klarify, and how that insight led him to leave his previous startup and build something that could give back to the people who had given so much to him. He breaks down the fundamental shift Klarify represents — from software that stores what therapists do to AI agents that actually do the work for them, handling everything from marketing and scheduling to insurance claims and denial appeals. The insurance section is particularly eye-opening: with one in five claims denied, less than ten percent appealed, and nearly half of those appeals winning, Moody reveals how much money therapists are leaving on the table simply because the appeals process is too painful to navigate. Klarify's answer is an AI voice agent that calls insurance companies, gathers information, and resolves denials with a single click — effectively automating the revenue cycle management industry that had itself already been offshored. Moody closes with a counterintuitive take on the future of therapy: far from replacing therapists, AI will expand access to them, reduce stigma, and funnel people from chatbot conversations toward real human connection. His conviction is that therapy — grounded in trust, cultural understanding, and emotional presence — will be among the last jobs standing, and the most needed ones, in an increasingly automated world. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Angie Lillie, Chief Compliance Officer at Mentavi Health, to explore what it actually takes to build trust in a digital-first mental health company operating across all 50 states. Angie opens by reframing what compliance really means — not bureaucracy, but protection and accountability, the foundation that lets clinicians walk into patient encounters knowing the environment around them is safe and ethical. She then breaks down how Mentavi's AI support tool, the Mentavi Concierge, handles intake and administrative friction without ever crossing into clinical territory, because at Mentavi, the line is non-negotiable: a licensed clinician must always be accountable for diagnosis and treatment decisions. To keep that line firm as AI grows more capable, Mentavi formed one of the first formal AI ethics committees in digital health — a multidisciplinary group that continuously evaluates whether human accountability is being maintained. Angie then addresses the regulatory patchwork facing any company delivering care across state lines, explaining how Mentavi builds its compliance program to absorb change rather than react to it — setting its own floor higher than current regulations require and raising it as guidance matures. She closes with a message that cuts to the heart of what separates durable digital health companies from those that eventually run into trouble: the ones that earn lasting trust do the unglamorous work early, publish real validation data, and are honest about what their technology can and cannot do. Her bottom line — compliance doesn't slow innovation, it removes the obstacles that would eventually stop it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Itai Green, global innovation strategist and author of Innovation or Elimination, to make the case that in today's AI-accelerated world, innovation is no longer a competitive advantage — it's a survival requirement. Itai opens with a perspective only a founder-turned-advisor can offer: corporations that want to partner with startups must learn to speak startup, move at startup speed, and respect the very real financial stress that most founding teams are operating under. He then explains why the stakes have fundamentally shifted since the arrival of generative AI — the pace of technological change now outstrips the pace of corporate decision-making, and any company that ignores that gap is already falling behind. But the biggest barrier, Itai argues, isn't budget or technology — it's people. Drawing on hundreds of innovation boot camps run inside global corporations, he walks through his proven process: gather executive challenges, map fifty relevant startups, run a one-day boot camp, and watch organizations that were resistant to change walk out ready to pilot with seven of the ten startups they met. The result, repeated across business units, is a company that thinks and moves differently within six months. He closes with a warning that no industry is safe — not banks, not tech companies, not SaaS platforms — pointing to the story of Wix, a five-thousand-person company nearly disrupted by a single bootstrapped startup, as proof that the next threat is always below the radar. His advice: become the first door entrepreneurs knock on, before your competitors even know the startup exists. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Joe Ochal, founder and CEO of The Chimney Scientist, to explore how a microbiology graduate turned a part-time chimney cleaning gig into one of the fastest-growing home services companies in the United States. Joe shares the moment the math clicked — staring down $250,000 in medical school debt versus a blue-collar business he actually loved — and choosing the path that made more sense on paper and in practice. He breaks down what separates The Chimney Scientist from the rest of the industry: not just better tools, but a culture of ongoing education, with technicians receiving five hours of weekly training rather than the ride-along-and-certify approach that dominates the trade. Joe then shares a surprisingly powerful piece of advice most homeowners get completely wrong — simply covering the top of your woodpile can dramatically reduce chimney fires, cut particulate emissions, and deliver up to 20% more heat output by keeping moisture content low. The conversation closes with an exciting look at how AI is already changing field diagnostics, with technicians using photos and targeted prompts to get real-time manufacturer-level guidance on any appliance — effectively putting a seasoned tech support expert in every technician's pocket. For Joe, the future of chimney care is one where problems get solved right the first time, every time, and The Chimney Scientist intends to be the company that sets that standard for the whole industry. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Ashwin Rao, Executive Vice President of Next Gen AI at o9 Solutions, to explore why large language models alone are not enough to power the autonomous enterprise — and what it will actually take to get there. Ashwin opens by tracing the common thread across his career on Wall Street, at Stanford, and in retail supply chains: every domain ultimately comes down to translating messy business problems into clean mathematical models, then building software to solve them. He then makes a compelling case for neurosymbolic AI, arguing that LLMs represent only half the picture — the neural, statistical, approximate half that excels at pattern recognition but hallucinate under pressure. The missing half is symbolic AI, the world of mathematical logic, knowledge graphs, and hard constraints that provides precision, structure, and the guardrails enterprises actually need. Together, he argues, they map to what Dan Kahneman called fast and slow thinking — and just as humans need both, so does enterprise AI. From there, Ashwin addresses the trust gap holding back autonomous decision-making at scale, advising leaders to start with low-stakes decisions, build comfort gradually, and never hand real operational authority to AI in zero-tolerance environments — yet. He closes with a vivid picture of the autonomous enterprise five years out: AI handling all operational and execution-level decisions, humans moving up to tactical and strategic roles, and everyone shifting from problem-solving to problem specification. His parting message — everyone in the enterprise is about to get a double promotion, whether they're ready for it or not. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mitchell Amador, founder and CEO of Immunefi, to pull back the curtain on the escalating cybersecurity battle playing out across the blockchain ecosystem. Mitchell explains how founding Immunefi in 2020 was less about certainty and more about conviction — recognizing that DeFi's explosive growth was creating security gaps that criminal networks would exploit at the same viral speed that made crypto successful in the first place. His answer was to corral the global white hat security community into a crowdsourced defense force, now more than 45,000 researchers strong, that outnumbers attackers many times over. He then draws a sharp distinction between treating security as insurance versus infrastructure — arguing that until crypto can reliably price risk across its highly variable threat landscape, organizations must think of security the way a nation thinks of its walls and moats: not foolproof, but absolutely non-negotiable. Mitchell addresses the AI arms race head-on, acknowledging that right now attackers are winning, using frontier models to scan codebases and craft exploits faster than defenders can respond. Immunefi's counter is to put the same AI tools directly in the hands of its white hat researchers, effectively turning thousands of independent security experts into AI-augmented red teams that review code before it ever reaches the open internet. He closes with a sobering look at the shared dependencies — open source libraries, bridges, oracles, shared infrastructure — that represent crypto's next systemic risk, and makes the case that solving those ecosystem-wide coordination problems before ten to twenty trillion dollars moves on-chain is the defining security challenge of the next five years. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mahesh Thakur, executive coach and former product leader at Microsoft, Amazon, Intuit, and GoDaddy, to explore what it truly takes to lead in a world where AI is rewriting the rules faster than most organizations can keep up. Mahesh opens with the turning point that shifted his career from building products to developing leaders — a high-performing Fortune 100 team with every advantage imaginable that kept stalling, not because of strategy or resources, but because trust between leaders had broken down. That experience crystallized his belief that products don't transform companies, leaders do. He then breaks down why his coaching model is deliberately clinical and prescriptive rather than purely reflective, using a 180-day structured roadmap with stakeholder feedback, measurable behavior targets, and monthly progress checks — the same rigor a doctor applies when treating a patient, not just asking how they feel. Mahesh describes his two ideal clients: mid-to-large organizations trying to move from AI experimentation to genuine AI transformation, and senior leaders at inflection points who need executive presence and cross-functional influence, not more technical knowledge. The conversation closes with a forward-looking take on leadership in the agentic era — Mahesh argues that as AI handles more coordination and execution, the leader of the future becomes a Chief Judgment Officer, someone who decides what deserves attention, where to place bets, and how to build a culture where humans and AI make each other better. His prescription for ambitious leaders: invest now in strategic judgment, systems thinking, alignment-driven communication, and adaptability — because those are the capabilities no model can replicate. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Joel Perez, CTO and co-founder of Mindful Software, to explore how a deeply personal experience with dream interpretation sparked the creation of My Dream — an AI-powered app designed to help people decode what their subconscious is trying to tell them. Joel shares how a year off traveling with his wife Amy, followed by a career pivot from IT infrastructure to software engineering, shaped the resourcefulness and curiosity that now drives his work. He explains how Amy's own life-changing dream — one that finally convinced her to leave an overwhelming government role — became the founding story behind the product, and how a full year of research with dream experts and real users shaped an app that goes far beyond matching symbols to generic definitions. MyDream captures personal context, emotional state, and life circumstances to deliver interpretations that are specific, not generic, because as Joel puts it, a fish means something very different to you than it does to a fisherman. He then addresses the bigger question of where AI belongs in emotional and personal spaces, drawing a clear line: AI should support reflection, not replace judgment. It should ask better questions, surface patterns, and offer perspective — never tell someone what to do. With dream experts on staff, a rigorously built golden data set, and a firm commitment to user privacy that extends to blinding themselves from individual dream data in their own analytics, Joel and Amy are building technology that treats the inner life with the care it deserves. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with John Sampogna, CEO of Wondersauce, to explore what it really takes to build a brand that outlasts any ad budget. John reflects on scaling Wondersauce from a two-person shop to a hundred-person agency, crediting much of that early success to the "optimistic naivety" of not knowing enough to be afraid — a mindset he says is surprisingly hard to recapture once experience loads you down with risk filters. He breaks down what makes Wondersauce different from a traditional agency: a relentless focus on business outcomes over billable services, where the question isn't "what do you need?" but "what are you trying to achieve?" From there, John makes a pointed case against the industry's obsession with performance metrics — arguing that brands that live entirely on paid media are one budget cut away from disappearing, and that the slow, unsexy work of brand-building is what creates lasting customer affinity that no algorithm can switch off. He closes with a candid look at where the agency model is heading, framing AI not as a threat but as a dividing line: the agencies that only use it to do old things faster will get commoditized, while those investing in smarter, more personalized, more adaptive marketing experiences will define what comes next. The bottom line — in a world where AI makes production cheaper, the irreplaceable value is the thinking behind it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Neil Marley, CEO of Neologik, to unpack why so many mid-market companies are stuck in AI pilot purgatory — and what it actually takes to break through to real transformation. Neil shares how an early encounter with ChatGPT convinced him that AI would reshape information worker roles and that mid-market companies, more agile than large enterprises but more resource-constrained, stood to gain the most from moving fast. He explains why governance and scaffolding matter as much as automation — because businesses need reliable, auditable outcomes, not just impressive demos — and how Neologik is already deploying compliance and workflow agents for banks and construction firms in days rather than months. Neil then lays out the five reasons AI initiatives stall before delivering ROI: treating AI as a tech project instead of a business transformation, poor leadership communication, wrong use case selection, death-by-committee planning, and the false comfort of simply buying an AI tool. He closes with a forward-looking take on how AI will re-aggregate enterprise software, threatening single-purpose SaaS vendors while empowering companies to build fully customized workflow solutions on demand. His bottom line: the future is human-first, AI-enabled — and the companies that get there fastest will be the ones that stop piloting and start transforming. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Geoffrey Mattson, CEO of SecureAuth, to discuss why the way we think about identity and security is being completely rewritten. Geoffrey traces his career from network engineering to identity security, explaining how the core question has always been the same: who are you, and what are you allowed to do right now? He breaks down why the traditional perimeter firewall and static login model are no longer enough — credential theft, SIM swapping, and session hijacking have made one-time authentication dangerously obsolete. SecureAuth's answer is continuous identity assurance: behavioral profiling, biometrics, and passkeys that verify not just who you are at login, but whether your actions remain trustworthy throughout an entire session. The conversation then turns to what Geoffrey calls the "sum of all fears" in modern security — agentic AI. Unlike human employees, AI agents have no biological friction, no accountability, and no traditional identity, yet they can execute actions at machine speed across entire enterprise environments. Geoffrey argues that zero trust principles, applied from the ground up to agent-to-agent and human-to-agent interactions, represent the best shot at getting security right before the threat outpaces the defense — and that identity is no longer a background concern, but the defining battleground of the next era in cybersecurity. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Ryan Horst, CEO of Altcoin Pro, to explore how his background in sales, psychology, and business coaching shaped a unique approach to crypto education. Ryan shares his firsthand experience surviving the 2017 altcoin bull run and the humbling losses that followed, and how those lessons drove him to build a system for repeatable investing results. He breaks down the most common psychological traps crypto investors fall into — from emotional attachment to single coins to the illusion of diversification — and explains why the rules of the game have fundamentally changed now that there are hundreds of thousands of tokens competing for capital. Ryan also demystifies decentralized finance, walking listeners through how liquidity pools work, why sovereign custody of your crypto matters, and how everyday investors can earn passive yield the same way institutional market makers always have. The conversation closes with a forward-looking take on what separates investors who will build real wealth in the next bull cycle from those who will get left behind: deep market understanding, the ability to spot gaps before the crowd does, and the discipline to leave emotion out of it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas welcomes Warren Myers, Co-Founder and CEO of AURA, to discuss how technology is transforming emergency response around the world. Warren shares how AURA was born from a critical challenge in South Africa—where millions lacked access to reliable emergency services despite an abundance of underutilized private security and medical resources. By creating an intelligent dispatch platform that connects people to the nearest vetted responders, AURA has built South Africa's largest private emergency response network and is now expanding globally. Warren also explores how AURA is adapting its platform for developed markets like the United States and the United Kingdom, where emergency services face increasing strain from false alarms and growing demand. Looking ahead, he discusses the future of universal emergency response powered by wearables, connected vehicles, IoT devices, and biometric triggers that can automatically summon help when people are unable to call for it themselves. The conversation offers a compelling look at how AI, smart infrastructure, and global partnerships are redefining public safety for the next generation. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Bradley Taylor, CEO and Co-Founder of ClareCast, to discuss how predictive workforce intelligence is reshaping business strategy. Drawing on more than 25 years of experience in employee benefits, insurance technology, and private equity-backed organizations, Bradley explains how the frustration of making high-stakes decisions with incomplete data inspired him to build ClareCast. He shares how AI-powered forecasting helps companies predict workforce trends, improve revenue planning, and replace guesswork with confidence. Bradley also explores the emerging signals of AI-driven organizational change, including why hiring a Chief AI Officer or transformation leader often precedes workforce restructuring. He discusses how predictive intelligence can help executives, boards, investors, and employees better anticipate disruption, align growth strategies, and make smarter decisions in an increasingly AI-driven economy. This insightful conversation highlights why predictive workforce intelligence may soon become as essential to business planning as traditional financial forecasting. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jana Radojcic, Director of Organic Growth at Alpha Market Flow and Co-Founder of GetStuffDigital, to explore how SEO is evolving in the age of AI search. Jana shares her journey from academic research writing to becoming a leader in authority building for fintech and SaaS brands, explaining why trust, reputation, and strategic digital PR have become the foundation of sustainable organic growth. Jana dives into her PR Intelligence framework, which helps companies proactively measure and strengthen brand trust before reputation issues arise. She also explains why AI-powered search engines prioritize credible brands over traditional keyword rankings, making authority, brand mentions, and bottom-of-the-funnel content more valuable than ever. Listeners will gain practical insights into preparing their brands for the future of search by focusing on customer trust, real-world authority, and solving the problems AI users are actively searching to answer. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Matt Serna, Head of Go-To-Market at Lightfield, to discuss how AI-native CRMs are transforming the future of sales and customer engagement. Drawing on his experience at leading AI companies including Replicant and Notable, Matt explains why traditional CRMs have long struggled with incomplete and outdated data, limiting their ability to deliver real value to sales teams. Matt shares how Lightfield’s agentic CRM automatically captures and structures customer interactions across calls, emails, meetings, and messages, creating a living system of record without manual data entry. He also explores why simply adding AI features to legacy platforms isn't enough, and why businesses need AI-native foundations to fully unlock the power of autonomous agents. Looking ahead, Matt predicts a future where AI agents handle the majority of customer-facing sales tasks, giving companies that embrace AI a significant competitive advantage in speed, scalability, and growth. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas welcomes Amy Farner, Executive Vice President and Head of Research and Product at the Josh Bersin Company. Amy shares her 25-year journey helping HR organizations leverage emerging technologies—from early employee engagement platforms and workforce analytics to today’s AI-powered transformation. She discusses how the company’s Galileo platform evolved from a research assistant into an intelligent workflow engine that helps organizations operationalize insights, personalize decision-making, and scale HR expertise across the enterprise. Amy also explores the rise of the “super manager,” explaining why AI won’t eliminate management roles but will fundamentally reshape them. She outlines the company’s vision for HR 2030, where agentic AI systems automate routine work, enhance strategic decision-making, and transform HR into a growth-focused business function. The conversation offers a compelling look at how AI agents, intelligent workflows, and human-centered leadership will redefine the future of work. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas speaks with Jason Wood, Founder and CEO of Specificity, about the growing challenges facing digital advertising and how AI is reshaping the future of customer acquisition. Drawing from his entrepreneurial journey in sales, marketing, and technology, Jason explains why he launched Specificity to combat bot traffic, fake leads, and the declining transparency created by major advertising platforms. Jason discusses how the rise of agentic AI is fundamentally changing how consumers discover brands, shifting attention away from traditional search engines and toward AI-powered assistants. He explores the importance of Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and adapting marketing strategies for a world where AI agents increasingly influence purchasing decisions. The conversation also highlights Specificity’s focus on verified human audiences, real-time intent data, and speed-to-lead systems that help businesses capture demand more effectively. Looking ahead, Jason shares his vision for a future where AI-driven execution, trusted data, and human judgment work together to create more accountable and effective advertising, giving businesses a competitive edge in an increasingly automated marketplace. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Nir Weingarten, Co-Founder and CEO of Eikona, to discuss how artificial intelligence is transforming one of marketing's most overlooked areas: lifecycle marketing. Drawing on his background as an AI researcher and machine learning expert, Nir explains why email, SMS, and push notifications represent one of the biggest untapped opportunities for AI-driven automation and personalization. Nir shares how Eikona uses reinforcement learning—the same foundational concept behind modern AI systems—to continuously optimize marketing content based on real customer behavior. He explains how adaptive marketing moves beyond traditional A/B testing, enabling brands to automatically generate, test, and refine messaging at scale to improve engagement, retention, and revenue. The conversation also explores why industries such as retail, banking, telecom, insurance, healthcare, and travel are increasingly turning to AI to strengthen customer relationships and drive long-term growth. Looking toward the future, Nir outlines his vision for a new category called adaptive marketing, where every customer interaction is dynamically personalized in real time. He discusses the technological, commercial, and cultural shifts required to make that vision a reality, drawing parallels to transformative innovations such as smartphones, cloud computing, and social media. The episode offers valuable insights into how AI is reshaping customer engagement and why adaptive marketing may become the next standard for modern brands. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mark Stouse, Chairman and CEO of Proof Causal AI, to explore why traditional marketing and go-to-market analytics are failing in today’s volatile business environment. Drawing on more than 25 years of leadership experience at companies like HP, BMC Software, and Honeywell Aerospace, Stouse explains how reliance on correlation-based analytics has left organizations unable to accurately measure performance, optimize investments, or prove business value. Mark breaks down the difference between correlation and causal inference, revealing how Causal AI helps organizations uncover the true drivers of business outcomes. He discusses the growing importance of MASB certification and FASB compliance in bringing financial rigor to marketing and customer acquisition investments, enabling CFOs and boards to make more informed decisions. The conversation also explores the rising costs of customer acquisition, the limitations of traditional demand generation, and why many companies are struggling to justify their go-to-market spending. Looking ahead, Mark shares his perspective on how agentic AI is shifting power toward buyers, allowing them to filter, evaluate, and even initiate purchasing decisions with minimal human interaction. As AI reshapes customer behavior and business decision-making, he explains why organizations must embrace causal intelligence to stay competitive, reduce waste, and make smarter investments in an increasingly complex marketplace. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas welcomes Dr. Ali Ashraf, Dean of the Hassan School of Business at Colorado State University Pueblo, to discuss his inspiring journey from Bangladesh to academic leadership in the United States. Dr. Ashraf shares how a deep appreciation for education, combined with a passion for finance, research, and student success, guided his path from central banking and doctoral studies to becoming a dean dedicated to expanding opportunities for diverse and first-generation students. Dr. Ashraf highlights the Hassan School of Business’s commitment to experiential learning, community engagement, and industry collaboration. He explains how faculty and students work together on real-world consulting projects, entrepreneurship initiatives, economic development studies, and cybersecurity programs that strengthen connections between the university and Southern Colorado’s business community. The conversation also explores the rapidly evolving role of AI in higher education and business. Dr. Ashraf discusses the importance of balancing AI innovation with ethics and academic integrity while preparing students for a future where business, technology, and AI increasingly intersect. By fostering interdisciplinary learning and integrating emerging technologies into the curriculum, he shares his vision for developing adaptable, future-ready graduates equipped to thrive in an AI-driven global economy. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Alexander Farr, co-founder and COO of Clera, to discuss how AI is transforming the way companies discover and engage talent. Inspired by Berlin’s vibrant startup ecosystem and shaped by experiences in venture capital, startup leadership, and recruiting, Farr shares the journey that led him to build a platform designed to connect top candidates with the right opportunities at scale. Alexander explains why traditional recruiting platforms often fail both candidates and employers, and how Clera takes a different approach by meeting professionals where they already communicate—through email, iMessage, and WhatsApp. By acting as an AI-powered talent agent, Clera helps candidates access opportunities without navigating endless job boards while enabling companies to identify highly relevant talent more efficiently. The conversation also explores the future of hiring in an AI-driven world, the importance of building trust in recruitment, and how Clera’s growing network of more than 100,000 tech professionals is helping reshape career mobility. Farr shares his vision for a future where AI-powered career agents provide personalized guidance, create meaningful introductions, and help professionals navigate an increasingly dynamic job market. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas welcomes Dr. Kurt Love, founder of AINA Consulting and Educational Services, educator, and creator of the Human-Centric Leadership Model. Drawing from his unique background in education and organizational leadership, Dr. Love explains how principles used to help students succeed can transform workplace culture and employee performance. Dr. Love introduces the concept of “quiet cracking”—the invisible and involuntary breakdown that often affects high-performing employees long before burnout, disengagement, or turnover occur. He discusses why organizations must proactively measure employee sentiment, identify hidden stressors, and create environments that foster resilience, trust, and sustainable productivity. The conversation also explores the business case for workplace well-being, including how employee net promoter scores can serve as a powerful indicator of retention, recruitment success, and long-term profitability. Looking ahead, Dr. Love shares his perspective on emerging workplace challenges driven by AI, digital exhaustion, and economic uncertainty, emphasizing why leaders must prioritize human thriving to build adaptable, high-performing organizations in the future. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Doron Kempel, Chairman and CEO of Bond, to explore how technology, human expertise, and operational innovation are transforming personal security. Drawing from his experience in Israel’s elite special operations forces and his success building technology companies acquired by IBM and HPE, Kempel shares the common thread that has guided his career: solving worthy, complex problems through initiative, innovation, and leadership. Doron discusses Bond’s unique approach to personal safety, combining AI-powered intelligence with live human security agents to provide proactive protection and peace of mind. He explains why human judgment remains essential in security decisions, how enterprises are embracing personal safety as part of their duty of care, and why he believes society is entering a new era where personal security becomes accessible to everyone—not just executives and VIPs. Looking ahead, Kempel outlines Bond’s vision of democratizing personal security through technology, making protection more effective, affordable, and scalable for individuals, families, employees, and communities worldwide. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas welcomes Mohammad Noshad, CEO and co-founder of Shield AI, to discuss the next evolution of healthcare technology: active AI. Drawing on his background in AI research, entrepreneurship, and work at Harvard University, Noshad shares how a personal tragedy inspired him and his brother to build technology aimed at reducing preventable hospital complications and improving patient outcomes. Noshad explains the difference between passive AI systems that provide information and active AI agents that take action. He details how Shield AI’s autonomous UV-C disinfection platform achieved a 93% reduction in contamination by combining proven ultraviolet technology with intelligent automation. Looking ahead, he outlines a future where AI-powered agents monitor operating rooms, identify missing supplies before procedures begin, and coordinate with robotics systems to streamline hospital workflows. The conversation highlights how physical AI can reduce infections, lower costs, improve efficiency, and ultimately create safer healthcare environments for both patients and clinical staff. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices