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AI agent for vice president of operations

Cross-Site Benchmark and Practice Transfer Agent

Proven practices are moved from the best sites to the others through approved, measured pilots.

AnalysisDecisionsOperationsManagementExecutives and strategy
See how it worksGet access
Cross-Site Benchmark and Practice Transfer Agent: what goes in, what the agent does and what you get

What it does

One warehouse cut mispicks by a third, and the other four sites never heard how. This agent compares sites every month on productivity, quality and cost. It adjusts for product mix, volume and shift pattern so the comparison is fair, then identifies outliers, good and bad. For the best performers, it looks up what they do differently in procedures, layouts, staffing and tools, from documents and the managers' notes. It drafts a transfer plan for a pilot at a lagging site with a target. After the pilot starts, it checks results against the target and adjusts the plan if it falls short. You approve each pilot. Edge case: a site with the best score because of an easy product mix is not treated as a model.

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 Monthly site reports close 2 USES A TOOL Load KPIs by site, product mix and shift pattern 3 DOES Adjust each site's results for mix and volume 4 DOES Identify top and bottom outliers by metric 5 USES A TOOL Read procedures and manager notes at the top sites 6 DOES List practices that differ and link them to the gap 7 CHECKS THE RESULT Is the gap still real after adjusting for mix andvolume? If not: Adjust with more factors, and drop the site as amodel if the gap disappears. Back to step 2. 8 DOES Draft a pilot plan for the lagging site with atarget 9 YOU APPROVE VP approves each pilot 10 CHECKS THE RESULT After 6 weeks, did the pilot reach at least half thetarget? If not: Adjust the plan, add missing practices and rerunthe pilot. Back to step 8. 11 RESULT Benchmark report and pilot status
Read the steps as a list
  1. Monthly site reports close
  2. Load KPIs by site, product mix and shift pattern
  3. Adjust each site's results for mix and volume
  4. Identify top and bottom outliers by metric
  5. Read procedures and manager notes at the top sites
  6. List practices that differ and link them to the gap
  7. Is the gap still real after adjusting for mix and volume?If not: Adjust with more factors, and drop the site as a model if the gap disappears. Back to step 2.
  8. Draft a pilot plan for the lagging site with a target
  9. VP approves each pilotThe agent waits here for your OK.
  10. After 6 weeks, did the pilot reach at least half the target?If not: Adjust the plan, add missing practices and rerun the pilot. Back to step 8.
  11. Benchmark report and pilot status

How it decides

It calls a site an outlier when its mix-adjusted result is more than 1.5 standard deviations from the group, and picks practices that differ and are linked to the gap.

  • Outlier when more than 1.5 standard deviations from the mean
  • Adjust for product mix before ranking
  • Pilot at one site at a time
  • Review pilots at 6 weeks

Make it yours

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

  • Metrics compared
  • Outlier threshold (default 1.5 standard deviations)
  • Pilot review period (default 6 weeks)
  • Sites included

What keeps you in control

It always asks you first

  • VP approves every pilot

Hard limits

  • Never change site procedures itself
  • Never rank people, only sites

It stops when

  • Done: pilots reviewed and decided
  • Stop: site data not comparable

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 happensThe agent found Site D's mispick rate was 0.4% against 1.1% elsewhere, still 0.5% after mix adjustment. Site D used a double scan at packing. It drafted a pilot for Site B with a target of 0.7%. The VP approved. At 6 weeks Site B was at 0.9%, so the agent added the scanner placement detail and the rate reached 0.7%.

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