We invested in several AI tools for our operations team, but we suspect some team members are barely logging in while others are over-relying on them. How do we track and manage the actual adoption of these tools across our departments?

Question

Tyler Smith · Accepted Answer

Implementing new software is pointless if your team does not actually use it or if they use it as a crutch that degrades the quality of their work. To manage adoption, you must measure both tool usage and final performance output.

Review the usage analytics provided by your AI platforms to see who is actively logging in and generating queries. However, do not manage by activity metrics alone. Instead, tie the use of these tools directly to the performance metrics on your weekly Scorecard.

If an employee is meeting their weekly targets but has zero activity on the AI platform, they may have found a more efficient manual process or they might be bypassing the system. If another employee is highly active but their quality of work is dropping, they are likely copy-pasting AI outputs without applying human critical thinking.

Use the GWC tool during your quarterly reviews to evaluate if each team member gets, wants, and has the capacity to leverage these AI tools effectively. This keeps the focus on output and alignment rather than software utilization.