Episode #28 - Why Big AI Initiatives Fail and Small Ones Succeed episode artwork

EPISODE · Apr 27, 2026 · 25 MIN

Episode #28 - Why Big AI Initiatives Fail and Small Ones Succeed

from Unpacking The AI Strategy Blueprint: Tangible AI Transformation for your Business · host Lara Wilson

Episode 28: The Counterintuitive Secret to AI Success — Think SmallerYour organization has identified hundreds of AI use cases. Brilliant people. Massive budgets. Sticky-note-covered whiteboards. So why have you deployed fewer than six to production? In this episode of The AI Strategy Blueprint, host Lara Wilson unpacks Chapter 10 of John Hanby's book and confronts the uncomfortable truth that ambition itself is what's killing enterprise AI — and that the organizations winning with AI are the ones who had the discipline to start absurdly small.Lara walks through the four predictable failure patterns John identifies: Complexity Overload, Capability Gaps, Resource Constraints, and Change Resistance. What do all four have in common? They're all triggered by the same instinct — the executive impulse to think at scale before proving value. And then there's the most insidious failure mode of all: Pilot Purgatory, where fifteen impressive demos sit in a permanent holding pattern, generating applause at board meetings but zero real-world productivity gains for anyone on the ground.What does a successful ""start small"" approach actually look like in practice? Lara gets specific — from HR policy manuals that answer employee questions in seconds, to AI-powered RFP drafting that saves days of soul-crushing boilerplate work, to a channel partner who sold five AI licenses to county governments for under $2,500 each and watched it expand to 4,500 users after the pilot proved its value. The economics of AI adoption have shifted dramatically, and a sub-$1,000 team entry point can eliminate career risk entirely.But starting small also means knowing exactly what to avoid: high-stakes autonomous decisions, use cases requiring four-system integrations, immature data foundations, and — perhaps most dangerously — launching a pilot without measurable success criteria. If you can't define what winning looks like in quantifiable terms before you begin, you are building a one-way road back to Pilot Purgatory.Whether you're a CIO tired of watching AI budgets evaporate with nothing to show, or an executive trying to build genuine organizational capability instead of a slide deck full of demos, this episode gives you the execution discipline framework you need. The ""land and expand"" motion is real — but only for organizations willing to plant the seed properly first. Find your quick win, set your metrics, and let demonstrated value do the selling for you. Learn more at https://iternal.ai/ai-strategy-blueprint

Episode metadata supplied by the publisher feed · Published Apr 27, 2026

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Episode #28 - Why Big AI Initiatives Fail and Small Ones Succeed

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