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Peter Jackman
Peter Jackman

Posted on Originally published at leadsnow.ai

Why AI pilots stall before production, and the test that predicts it

Most AI pilots stall at the production gate because nobody can state the result in dollars the budget approver owns. Gartner found only 48% of AI projects reach production, after 8 months on average, and 49% name demonstrating value as the top barrier. The predictive test: count the assumptions between your pilot metric and a P&L line.

What this covers

  • How many AI pilots actually make it to production?
  • Diagnosing a stalled AI pilot before the production gate
  • MAKE MORE SALES.
  • Why is my AI pilot stuck? Symptom, cause and the test that tells them apart
  • The Link-Count Test: the check that predicts a stalled pilot
  • Worked example: two pilots with the same budget, and only one survives the gate

This is a technical summary. The full guide — with the data, tables and worked examples — is on our site: *Why AI pilots stall before production, and the test that predicts it*.

LeadsNow AI builds pay-per-result AI lead generation and answer-engine-optimisation systems in Australia.

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