Why Your GenAI Pilot Will Not Survive Production: Five Controls Engineers Skip
Key Takeaways
- Gartner forecast that at least 30 percent of generative AI projects would be abandoned after proof of concept by the end of 2025. The model is rarely the reason.
- The pilot-to-production gap is an engineering gap, not a model gap. Pilots optimize for demo fidelity. Production demands controls the demo never tested.
- Five controls separate the teams that ship GenAI from the teams that pilot it forever: auditable inference logs, lightweight model risk documentation, prompt and response retention with privacy boundaries, drift and evaluation in CI, and a working kill switch under load.
- Each control is treated as compliance overhead in pilot, then becomes the actual product surface in production.
- The transferable lesson from regulated industries is not the regulator. It is the discipline of treating the audit trail as a feature, not a byproduct.
In theory, generative AI is everywhere. The 2025 Stanford AI Index reports that...
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