My company is stuck in "pilot purgatory." We have great AI demos, but leadership won't greenlight full production because we can't prove a direct link to EBIT. How are you quantifying the value of AI-augmented productivity beyond just "hours saved"? Are there new KPIs trending for 2026?
3 answers
To get out of pilot purgatory, you must shift the conversation from "productivity" to "outcomes." In 2023, we stopped measuring "time saved" and started measuring "Cycle Time Reduction" and "Error Rate Deflection." For a customer service project, don't just say the AI is faster; show that it reduced the "Time to Resolution" by 45% and increased "First Contact Resolution" by 20%. These are hard numbers that CFOs understand. We also track "Model Accuracy vs. Human Performance" to prove that the AI isn't just fast, but actually more reliable than the previous manual baseline.
Have you considered the "Shadow AI" cost—the amount of money being spent on unsanctioned tools—as part of your business case for a centralized enterprise solution?
Focus on "Revenue Velocity." If AI helps your sales team respond to RFPs in 2 hours instead of 2 days, you're winning more business. That's the only metric that truly matters.
Agreed. Speed to lead is a massive competitive advantage. If you can quantify the increase in win rates, the budget will follow immediately.
That is a brilliant angle, Nancy. Our IT audit recently found that nearly 40% of our staff are using personal ChatGPT accounts for work data. Bringing that under a secure enterprise umbrella isn't just a productivity play; it's a massive risk-mitigation and cost-consolidation win. Do you have a template or a specific framework you used to present this "risk vs. reward" data to your board?