Field notes
Why an AI POC works in a demo but fails in production
Written by CerebraTech AI engineering teamAbout 2 min read
Editorial recordOwner: content-teamAudience: operationsEvidence level: conceptReviewed: 2026-09-12Next review: 2026-12-12Primary next step: Request Solution Architecture
Short answer: A demo proves one path with prepared data. Production must handle site variation, permissions, connectivity, operating ownership and safe shutdown.
Gaps to test
| Demo | Production |
|---|---|
| clean dataset | new, noisy and versioned data |
| one operator | shifts, roles and handover |
| one run | monitoring, patches, backup and rollback |
| one metric | acceptance, false positives and process impact |
Use Solution Architecture to turn a demo into a decision record with assumptions and stop conditions.
The answer is not just a bigger model
Map the data boundary in the Trust Center, name incident owners and plan a Maintenance Agreement before the pilot. If no one can operate it, stopping is the correct outcome.
Limitations
A pilot is not a production guarantee when hardware, lighting, corpus, operators or policy change. Attach workload, evidence status and review date to every claim.
Read next
A Production Readiness Review for an AI systemWhat Edge AI is, and how it differs from IoT and Cloud AIWhat to maintain every month after an AI go-liveContinue with the decision context
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