Most companies are currently stuck in the "AI Hype" phase.
They are buying tools, building AI agents, and hoping for magic. But they have no idea if they are actually getting business value.
We need to stop measuring "usage" and start measuring "outcomes."
If you cannot link your AI tools to the P&L, you are just guessing.
I have broken down the 12 most critical KPIs to track right now. These are categorized into Financials, Speed, and Health:
The Financials (Is it worth it?) • AI ROI: The ultimate proof that this isn't just a toy. • Cost Per Unit: The only way to prove efficiency and margin improvement. • Revenue Uplift: Shifts the focus from cutting costs to driving growth. • Virtual Headcount: How to measure scale without adding new salaries.
The Speed (Is it working?) • Task Automation: Identifying exactly which bottlenecks are disappearing. • Cycle Time: The competitive advantage of moving from "Start" to "Finish" faster. • Content Velocity: Measuring the "superpower" effect on individual contributors. • Deflection Rate: Reducing support costs while maintaining service standards.
The Health (Is it safe?) • Adoption Rate: You shouldn't pay for seats that nobody touches. • Accuracy Rate: If humans have to rewrite it, the tool is useless. • Hallucination Rate: Managing the risk of incorrect or dangerous data. • Employee Sentiment: Ensuring your team feels augmented, not replaced.
Stop treating AI like a novelty. Start treating it like a business unit.
Which of these KPIs is your team tracking today? Let me know in the comments.
Adam Danyal
Most companies are currently stuck in the "AI Hype" phase.
They are buying tools, building AI agents, and hoping for magic.
But they have no idea if they are actually getting business value.
We need to stop measuring "usage" and start measuring "outcomes."
If you cannot link your AI tools to the P&L, you are just guessing.
I have broken down the 12 most critical KPIs to track right now.
These are categorized into Financials, Speed, and Health:
The Financials (Is it worth it?)
• AI ROI: The ultimate proof that this isn't just a toy.
• Cost Per Unit: The only way to prove efficiency and margin improvement.
• Revenue Uplift: Shifts the focus from cutting costs to driving growth.
• Virtual Headcount: How to measure scale without adding new salaries.
The Speed (Is it working?)
• Task Automation: Identifying exactly which bottlenecks are disappearing.
• Cycle Time: The competitive advantage of moving from "Start" to "Finish" faster.
• Content Velocity: Measuring the "superpower" effect on individual contributors.
• Deflection Rate: Reducing support costs while maintaining service standards.
The Health (Is it safe?)
• Adoption Rate: You shouldn't pay for seats that nobody touches.
• Accuracy Rate: If humans have to rewrite it, the tool is useless.
• Hallucination Rate: Managing the risk of incorrect or dangerous data.
• Employee Sentiment: Ensuring your team feels augmented, not replaced.
Stop treating AI like a novelty.
Start treating it like a business unit.
Which of these KPIs is your team tracking today? Let me know in the comments.
1 week ago | [YT] | 6