Can your pilot actually fail?
A pilot that cannot fail cannot close — it just drifts into indefinite free usage and burns your SE hours. Tick what your typical POC actually has in place and see its rigor score, then take the one-pager you should be signing before any pilot starts.
What does your typical POC actually have?
Be honest about the last three pilots you ran — not the template you keep meaning to use.
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Your POC success-criteria one-pager
Agree this before a pilot starts. Sent to the economic buyer and signed, it is the difference between a pilot that decides and a trial that quietly becomes free product.
The catch: —
A pilot without criteria is a subscription you forgot to charge for.
Repeatable, criteria-driven evaluation — especially of AI tooling — is where Process Standardization meets AI Stack Fit. The assessment scores both across six dimensions. See how disciplined your evaluation process is.
Why most AI tool pilots drift into production without proving anything
A vendor says "let's run a pilot and see how the team likes it." Without defined success criteria, the pilot will always produce enough anecdotal wins to justify procurement and enough ambiguous results to avoid a clear failure. Six months later you have a paid license, 20% adoption, and no measurable impact.
This tool pressure-tests whether your pilot criteria can actually pass or fail. Enter your proposed success criteria and the tool evaluates whether each one is specific, measurable, time-bound, and binary. It generates a one-pager you can share with the vendor before kickoff so both sides agree on what success looks like.
Who this tool is for
RevOps leaders evaluating new AI tools. Procurement teams that want measurable outcomes before committing to annual contracts. Sales operations managers who have been burned by tools that were "piloted" and never evaluated.
How to interpret your results
Good criteria cover three categories: adoption (is the team using it?), accuracy (is it producing correct outputs?), and impact (is it moving a business metric?). If your criteria are all adoption-based with no accuracy or impact measures, the pilot can succeed even if the tool produces bad outputs that nobody acts on. Add at least one accuracy threshold before starting.
This tool maps to the AI Stack Fit dimension of the AI-Ready RevOps Framework. For a broader assessment, take the free assessment.
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