The Digital Executive

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.

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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.

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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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