The Digital Executive

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.

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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.

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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.

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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.

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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.

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