AI Adoption Analytics: Track Usage and Measure ROI

Measure what AI produces

You bought AI for every employee. You cannot prove it’s working, see where it’s failing, or show what it’s worth. Now you can. Usage, adoption, and performance are visible across your entire stack.

8% of employees use AI in ways that meaningfully improve their work

Gartner Research, 2025

Adoption in full view

You never wait for a report to know where AI adoption stands. Usage and AI consumption are visible across every application and every team. You see where it holds, where it falls short, and what to act on.

Patterns across workflows

Knowing someone uses AI is not the same as knowing how. Usage patterns show which workflows your employees rely on, which go unused, and where the gaps are. You know where to improve and where to expand.

Deploy where it matters

Without data, expanding AI means guessing. You can see where employees drop off, where adoption is lowest, and which applications need attention. You stop guessing and deploy where the evidence points.

See where it lands

Deploying AI is not the same as driving impact. You see where it is in use, which workflows it covers, and where adoption falls short. That is how you close the gap between AI potential and performance.