Episode #21 - Building the CFO-Friendly AI Business Case

Episode 21: Building the CFO-Friendly AI Business Case

Global AI investment is projected to hit $307 billion by 2025. And yet, a staggering MIT study found that 95% of AI investments have produced zero measurable returns. Sound familiar? That's not a technology problem — it's a financial architecture problem.

In this episode of The AI Strategy Blueprint, host Lara Wilson breaks down Chapter 7 of John Hanby's book with razor-sharp precision, walking leaders through exactly how to structure AI budgets so they don't become part of that 95% failure rate. Centralized, distributed, or hybrid — which budget model fits your organization? And why does getting this decision wrong create the kind of administrative nightmare that kills even the best AI initiatives?

Lara runs the math that CFOs actually respond to: 3.5 hours saved per employee per week, $3,500 in annual productivity value per head, and a 1,000-person company that saves $1.14 million over four years by switching from cloud subscriptions to local perpetual licenses. Hard numbers. Hard cost reduction. The language finance teams speak fluently.

But the real insight is in the phasing. Year 1: 70% Foundation, 30% Use Cases. Year 2: 40/60. Year 3 and beyond: 20/80. Miss this sequencing and you're trying to run before you can walk — funding complex automation workflows before employees know how to write a basic prompt. Lara also reveals a little-known hack: bundling AI licenses into existing hardware refresh cycles to shift the cost from operating expense to capital expenditure.

The episode closes with a mindset shift every executive needs to hear — AI investment isn't a traditional ROI exercise. It's R&D. And the organizations building that compounding learning curve right now are accumulating an advantage that late movers will find nearly impossible to close. What's the real cost of waiting? Learn more at https://iternal.ai/ai-strategy-blueprint