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AI agent for product managers

Release Scope Cut Decision Agent

Choose a scope that ships on the date with the lowest loss of value and broken promises.

Release Scope Cut Decision Agent: what goes in, what the agent does and what you get

What it does

Two weeks before release, engineering says the date will be missed and the product manager must decide what to cut. The options are argued from memory. This agent reads the remaining work, team capacity and dependencies, and ranks each item by customer value and risk. It simulates different cuts to find what still fits, and checks the promises already made to customers and sales. It shows the effect of each cut in plain language, such as a promised report for two key accounts. After each decision it reruns the numbers. The manager approves the final cut. Edge case: an item that other items depend on is not offered as a cut without the dependents.

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, continueYes, continueApprovedNoNo 1 STARTS WHEN Forecast shows the release date will be missed 2 USES A TOOL Read remaining items, estimates, capacity anddependencies 3 DOES Rank items by customer value and risk 4 DOES Simulate several cut options 5 CHECKS THE RESULT Does each option fit the capacity before the date? If not: Add a deeper cut or flag a date move to themanager. Back to step 3. 6 USES A TOOL Check each option against customer promises andsales commitments 7 CHECKS THE RESULT Does the option keep all committed promises? If not: Drop the option or list the promises it breaks.Back to step 4. 8 DOES Draft the recommended cut with the effects 9 YOU APPROVE Product manager approves the cut 10 USES A TOOL Rerun the forecast with the decision 11 RESULT Scope decision record
Read the steps as a list
  1. Forecast shows the release date will be missed
  2. Read remaining items, estimates, capacity and dependencies
  3. Rank items by customer value and risk
  4. Simulate several cut options
  5. Does each option fit the capacity before the date?If not: Add a deeper cut or flag a date move to the manager. Back to step 3.
  6. Check each option against customer promises and sales commitments
  7. Does the option keep all committed promises?If not: Drop the option or list the promises it breaks. Back to step 4.
  8. Draft the recommended cut with the effects
  9. Product manager approves the cutThe agent waits here for your OK.
  10. Rerun the forecast with the decision
  11. Scope decision record

How it decides

Ranks items by value per effort and risk, simulates cuts that bring the forecast inside the date, and rejects cuts that break a committed promise.

  • Items with dependents are cut together or not at all
  • A cut that breaks a signed promise needs approval
  • Choose the option with the highest remaining value that fits
  • If no option fits, propose a date move

Make it yours

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

  • Value scoring method
  • Capacity buffer (default 10%)
  • Commitment sources
  • Date flexibility
  • Who approves

What keeps you in control

It always asks you first

  • The final cut
  • Any message to customers or sales about scope
  • A change of release date

Hard limits

  • Never tell a customer about a cut
  • Never remove an item itself

It stops when

  • Done: scope fits the date
  • Stop: date moves
  • Stop: executive overrides

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 forecast shows 62 points of work for 50 points of capacity. The agent proposes cutting the export feature (13 points). The commitment check finds export was promised to two key accounts, so the option fails. It offers cutting the dashboard theme and bulk edit instead, 14 points total, which breaks no promise. The manager approves, and the forecast now fits with 2 spare points.

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