Grounding AI

Why AI Tools Aren’t Delivering Results (And the 7 Steps to Fix It)

Episode Notes

Main Question this Episode Answers: Why are companies investing in AI tools but not seeing real results, and how can they fix it?

In this episode of Grounding AI, Donna Peterson breaks down one of the biggest frustrations leaders are facing right now, investing in AI tools without seeing meaningful results.

The issue isn’t the tools themselves. It’s how they’re introduced, communicated, and adopted across teams.

Donna shares a practical, step-by-step framework leaders can use to ensure AI tools actually drive efficiency, alignment, and growth across the organization.

What You’ll Learn:

• Why AI tool adoption often fails to deliver results
• The critical gap between buying tools and using them effectively
• How lack of clarity leads to low team adoption
• The importance of leadership communication and training
• A simple 7-step framework to drive real outcomes

The 7 Steps to Make AI Tools Work:

• Introduce the tool clearly
• Explain why you chose it
• Define what it should be used for
• Set clear expectations
• Align it to one business goal
• Train your team properly
• Create monthly reviews and sharing sessions

Key Insight: AI tools don’t create results, how your team understands and uses them does.

Actionable Takeaway: Before introducing your next AI tool, ask: Does my team understand why we’re using this? Have I clearly defined how it supports one core goal?

If not, start there.