#23- Building AI Capabilities In-House: Strategic Transformation with David

Join us for a thought-provoking conversation about strategic AI implementation and organizational transformation with David Vivancos, serial entrepreneur and AI advisor. With five digital startups co-founded since 1995, six published books including Artificracia, and over a decade advising 35+ global brands on AI transformation including Keenfolks, David shares hard-won insights on what actually works in enterprise AI adoption.

In this episode, David reveals the critical mistakes executives make when implementing AI—from CTOs who ignore the people side of transformation to CMOs who plan too far ahead in a rapidly evolving landscape. He discusses why 90% of AI pilots fail to deliver ROI and shares his framework for successful implementation: quality data, the right partners, measuring progress in weeks not months, and building core AI capabilities in-house when it creates competitive advantage.

The People Mistake: CTOs fail by not involving HR early—technology without human adoption creates friction. Successful AI transformation requires working side-by-side with employees, not just offering training courses.

The Speed Paradox: CMOs plan too far ahead in a landscape where "what was science fiction two weeks ago is reality today." Small iterative tests beat long-term roadmaps in fast-moving AI markets.

The 90% Pilot Failure Rate: Most pilots fail because companies treat AI as a superficial layer over legacy systems instead of addressing foundational elements first.

Build vs. Buy Decision: For unique data and competitive differentiation, build in-house AI capabilities. For generic use cases, leverage hyperscalers like OpenAI and Anthropic.

Execution Over Planning: Success comes from quality data, choosing the right implementation partners, measuring in weeks not months, and getting people on board before building.

Perfect for CTOs, CMOs, business leaders, and executives navigating AI transformation in enterprise environments, particularly in banking, CPG, pharma, and telecom sectors.

David also discusses the importance of mixing senior employee experience with AI tools, balancing in-house development with external platforms, and why successful organisations create small agile AI teams that move fast and scale effectively.

"You need to see what data you send to these hyperscalers. If you send too much internal data, it's going to be tricky. There should be a mix—and if you're a big company, I fully recommend having some things in-house."— David Vivancos