The Digital Executive

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.

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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.

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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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