This is the #1 mistake I see leaders make when presenting AI initiatives.

They lead with technology, talking about LLMs and cloud migrations.

Meanwhile, their board and CEO are thinking:

➡️ What does this do for our share price?
➡️ How does this reduce churn?
➡️ When do we see a return on this massive investment?
The disconnect is costing companies millions in stalled projects and missed opportunities.

You don't have a technology problem. You have a translation problem.

Here’s how to fix it:
1. Start with the P&L, not the platform.
Instead of “We need to migrate to GCP,” say “We can reduce OpEx by 20% by optimizing cloud infrastructure.”

2. Frame projects in financial terms.
Don't just build a 'predictive model.' Quantify it: “This model will decrease customer churn by 5%, retaining $3M in annual revenue.”

3. Build a roadmap for VALUE, not just deployment.
Show a sequence of business outcomes. Quick wins first to build momentum and fund bigger bets.

Bridging this gap between your technical teams and your board is the single most critical factor for AI success.

It's the core focus of my "Executive AI & GenAI Accelerator" workshop.

In one private session, I align your entire leadership team on a common language and an ROI-driven roadmap, turning ambiguity into a clear, actionable plan.

Ready to transform your executive conversations about AI? Send me a DM with the word WORKSHOP for details.