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AI agent for change managers

Adoption Progress Monitoring Agent

Adoption on track for every group, with lagging groups helped quickly

Adoption Progress Monitoring Agent: what goes in, what the agent does and what you get

What it does

A change only works if people use it, but go-live is often treated as the finish line. After go-live this agent tracks adoption by group each week: logins, use of key features, workarounds to the old process, help desk tickets and survey answers. It first checks the data is complete for each group before drawing conclusions. It compares each group with that week's adoption target. If a group is behind, it reads tickets and comments to find why, such as missing access or unclear steps. High ticket counts can mean people are trying, so it reads them with usage. It drafts a weekly report with groups at risk and suggested actions. The change manager approves actions.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Weekly adoption review 2 USES A TOOL Pull usage, tickets and survey data 3 CHECKS THE RESULT Is data complete for every group? If not: ask system owners for missing data. Back to step2. 4 DOES Compare groups with targets 5 USES A TOOL Read tickets and comments for lagging groups 6 DOES Draft report with causes and actions 7 YOU APPROVE Change manager approves actions 8 RESULT Weekly adoption report
Read the steps as a list
  1. Weekly adoption review
  2. Pull usage, tickets and survey data
  3. Is data complete for every group?If not: ask system owners for missing data. Back to step 2.
  4. Compare groups with targets
  5. Read tickets and comments for lagging groups
  6. Draft report with causes and actions
  7. Change manager approves actionsThe agent waits here for your OK.
  8. Weekly adoption report

How it decides

It flags groups below their weekly target and looks for causes before suggesting actions.

  • Below target two weeks running means at risk
  • Read tickets with usage
  • Workarounds count against adoption

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Measures
  • Targets per week
  • Tracking period
  • Report audience

What keeps you in control

It always asks you first

  • Actions such as extra training

Hard limits

  • Never reports individuals by name

It stops when

  • Done: targets met for all groups
  • Stop: tracking period ends

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensIn week 3 the warehouse team was at 40% use against a 70% target. Tickets showed 18 people could not log in on shared terminals. The agent suggested an access fix and two days of floor support, which the manager approved. In week 4 the check still failed at 58%, so it added a quick guide at each terminal. Use reached 75% by week 5.

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