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AI agent for channel partner managers

Partner Lead Distribution Review Agent

Analyze lead routing, simulate other rules on past leads and flag unfair patterns before a rule change

Partner Lead Distribution Review Agent: what goes in, what the agent does and what you get

What it does

Lead routing often looks unfair and top partners get too few leads. Each month the agent analyzes how leads were routed and compares conversion rates and response times by partner. It flags patterns such as slow partners holding leads or top performers getting less than their share. It simulates alternative rules against past leads, such as routing by region, skill or performance, and estimates what would have happened. It proposes the best rule with the reason. After the manager approves a change, it rechecks results for a month. Edge case: a partner has a 90% conversion rate on a small sample, and the agent warns that the sample is too small.

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 analysis starts 2 USES A TOOL Pull leads, routing and conversion data 3 DOES Measure conversion and response time by partner 4 DOES Flag unfair or slow patterns 5 USES A TOOL Simulate alternative routing rules on past leads 6 CHECKS THE RESULT Is the sample large enough to trust each result? If not: Widen the period or group partners, then rerun.Back to step 2. 7 DOES Rank rules by conversion and fairness 8 YOU APPROVE Manager approves a rule change 9 USES A TOOL Recheck conversion and response after a month 10 CHECKS THE RESULT Did conversion rise without harm to partnerfairness? If not: Revert and test the next rule. Back to step 5. 11 RESULT Routing review with results
Read the steps as a list
  1. Monthly analysis starts
  2. Pull leads, routing and conversion data
  3. Measure conversion and response time by partner
  4. Flag unfair or slow patterns
  5. Simulate alternative routing rules on past leads
  6. Is the sample large enough to trust each result?If not: Widen the period or group partners, then rerun. Back to step 2.
  7. Rank rules by conversion and fairness
  8. Manager approves a rule changeThe agent waits here for your OK.
  9. Recheck conversion and response after a month
  10. Did conversion rise without harm to partner fairness?If not: Revert and test the next rule. Back to step 5.
  11. Routing review with results

How it decides

Each rule is judged by conversion, speed and fairness measured on past leads; changes run only after approval and are rechecked.

  • Require at least 30 leads per partner for a comparison
  • Reroute leads untouched after 48 hours
  • Weigh conversion above lead volume
  • Keep a rule only if conversion rises

Make it yours

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

  • Minimum lead sample (default 30)
  • Untouched lead limit (default 48 hours)
  • Rules to test
  • Trial period

What keeps you in control

It always asks you first

  • Manager approves a rule change
  • Manager approves communication to partners

Hard limits

  • Never change routing without approval
  • Never share partner results across partners

It stops when

  • Done: approved rule and a successful recheck
  • Stop: lead data quality is too low to simulate

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 happensPartner A got 38% of leads but converted 9%, and partner B got 12% and converted 21%. The agent proposed weighting by conversion, but partner C had only 14 leads, so it widened the window to 6 months. Simulation raised total conversions by 11%. The manager approved a one-month trial, and conversions rose 8%.

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