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AI agent for head of operations

Continuous Improvement Idea Pipeline Agent

Every idea gets a decision and feedback, and good ideas are proven in small pilots.

Continuous Improvement Idea Pipeline Agent: what goes in, what the agent does and what you get

What it does

The suggestion box fills up, nothing happens, and staff stop contributing. This agent gathers ideas from forms and meeting notes, removes duplicates and scores each one for effort and benefit. It proposes small pilots with an owner, a target and a time limit. After each pilot, it checks the measured result against the target and decides whether to scale, rework or close the idea, then sends feedback to the person who suggested it. The leader approves which pilots start. It keeps a visible board so everyone sees the status of their idea. Edge case: two ideas from different shifts solve the same problem, so the agent merges them and credits both.

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, continueApprovedYes, continueNoNo 1 STARTS WHEN New idea submitted 2 USES A TOOL Check the idea against the existing list forduplicates 3 DOES Score effort and expected benefit 4 DOES Propose a small pilot with an owner, target and timelimit 5 CHECKS THE RESULT Does the pilot have a measurable baseline andtarget? If not: define a measure with the owner and rewrite thepilot. Back to step 3. 6 YOU APPROVE Leader approves which pilots start 7 USES A TOOL Track the pilot measure through its time limit 8 CHECKS THE RESULT Did the result reach at least 80 percent of thetarget? If not: rework the pilot once with a change, or closethe idea with reasons. Back to step 7. 9 DOES Recommend scale, rework or close 10 USES A TOOL Send feedback to the person who suggested it 11 RESULT Idea closed or scaled and the board updated
Read the steps as a list
  1. New idea submitted
  2. Check the idea against the existing list for duplicates
  3. Score effort and expected benefit
  4. Propose a small pilot with an owner, target and time limit
  5. Does the pilot have a measurable baseline and target?If not: define a measure with the owner and rewrite the pilot. Back to step 3.
  6. Leader approves which pilots startThe agent waits here for your OK.
  7. Track the pilot measure through its time limit
  8. Did the result reach at least 80 percent of the target?If not: rework the pilot once with a change, or close the idea with reasons. Back to step 7.
  9. Recommend scale, rework or close
  10. Send feedback to the person who suggested it
  11. Idea closed or scaled and the board updated

How it decides

It ranks ideas by benefit over effort and starts only pilots with a measurable target. A pilot scales when it reaches at least 80 percent of its target.

  • Merge duplicates and credit all submitters.
  • Start only pilots with a measurable target.
  • Scale at 80 percent of target or more.
  • Allow one rework before closing.

Make it yours

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

  • Scoring method
  • Pilot length (default 2 weeks)
  • Scale threshold (default 80 percent)
  • Board visibility

What keeps you in control

It always asks you first

  • Leader approves which pilots start

Hard limits

  • Always give feedback to the submitter
  • Never commit budget without approval

It stops when

  • Done: idea scaled or closed with feedback.
  • Stop: pilot capacity full, so ideas wait in rank order.

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 happensA night shift operator suggested moving a label printer closer to the packing line. The agent scored it low effort and 20 minutes saved per shift, a pilot target of 15. The leader approved a 2-week trial. The result was 11 minutes, 73 percent of the target, so the check failed. The agent proposed moving it 2 meters further, retested at 17 minutes and recommended scaling.

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