Companies have invested heavily in AI tools for employees. Usage data often tells a quieter story: a core of enthusiasts and a large group who tried once and stopped.
Start with the work, not the tool
Adoption improves when teams see AI applied to their own tasks, such as drafting a proposal or analyzing a claim, rather than generic demonstrations.
Make leaders visible users
When managers use the tools in front of their teams and set expectations, usage follows.
Measure real usage
Track active use, time saved on specific tasks and quality outcomes. Adjust training and workflows where the numbers stall.
NicheTech change managers work alongside AI engineering teams so new tools become new habits.