Free diagnostic

AI Pilot-to-Production Readiness Scorecard

Assess whether a promising AI initiative has a clear outcome, a workable operating path, credible production evidence, and defined authority before scale.

Five dimensions
  1. Measurable operating outcome
  2. Decision-ready data and context
  3. Workflow and human integration
  4. Production evidence and recovery
  5. Authority, accountability, and control
What you receive

A practical 20-question scorecard.

Use it with an executive team, AI council, workflow owner, implementation partner, or vendor before deciding whether to pilot, scale, redesign, or stop.

The scorecard does not disclose DCP implementation mechanics. It helps the organization expose the production conditions that must be resolved.

The scorecard download is provided on the next page. Your information is used to deliver the resource and respond to relevant inquiries.

Buyer questions

Questions about the scorecard.

The scorecard helps identify what an initiative has and has not proved.

What does the pilot-to-production scorecard help a team see?

The scorecard helps leaders identify whether an AI initiative has a clear operating outcome, sufficient workflow integration, realistic validation, defined authority, and a credible path to value. It is a practical diagnostic, not a certification or guarantee of readiness.

Who should complete the scorecard?

The best respondent is someone who understands both the business objective and the current state of the initiative. Product, program, operations, AI, data, risk, or executive leaders can use it to structure a more specific production-readiness discussion.

What happens after the scorecard is submitted?

After submission, the PDF is available immediately, along with next steps for production validation or a working session. Newsletter consent is separate and is not assumed from the scorecard request.