Can I use an AI estimate as the project commitment?

Unvalidated model-generated estimate

Use the estimate as a hypothesis that helps identify work and uncertainty, not as an independently validated commitment. Compare it with comparable actuals, team capacity, dependencies, and expert input. Record assumptions and a forecast range before the authorized owner commits.

What to do now

  1. Ask for assumptions and work breakdown
  2. Compare against relevant historical actuals
  3. Review dependencies and available capacity
  4. Approve a justified forecast and range
Recommended action flow for unvalidated model-generated estimate: Ask for assumptions and work breakdown then Compare against relevant historical actuals then Review dependencies and available capacity then Approve a justified forecast and range. Escalate when a consequential commitment relies on an estimate no delivery owner has checked.

When to escalate

Escalate when

A consequential commitment relies on an estimate no delivery owner has checked.

Who decides

The AI service owner and relevant authorized reviewer

Example

An AI estimate omits data cleanup, so the delivery team revises the forecast before promising a date.

Mistake to avoid

Assuming a precise number implies a reliable estimate.

Prevent a repeat

Re-evaluate after changes to models, prompts, tools or source data; keep important decisions accountable to people.

Suggested ApprovedFlow setup

  • Tasks
  • Documents
  • Approvals

Track evaluation and review tasks, and keep approved evidence with the work; do not claim the platform provides an unverified AI agent or automated diagnosis. See the platform

Related cases

Practice references