Getting AI Automation Past the Pilot Stage
Sample post — the gap between an impressive demo and production value.
The pilot-to-production gap
A demo that works on cherry-picked inputs is not a system. Production AI needs evaluation, observability, and graceful fallbacks.
How we ship it
- Anchor on one measurable workflow with a clear baseline.
- Build a retrieval-augmented (RAG) pipeline against your real data.
- Add evaluation harnesses so you can measure regressions.
- Design fallbacks for when the model is uncertain.
Value comes from disciplined engineering around the model, not the model alone.
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