Most AI pilots fail at the transition point between a promising demo and a production-grade experience.
Pilot constraints to eliminate early
- Hardcoded prompts with no versioning
- No ownership for quality incidents
- Missing guardrails around sensitive actions
Production upgrades that matter
- Structured interfaces between model calls and product logic
- Clear fallback and escalation paths
- Monitoring tied to product and business metrics
Final thought
Teams that treat pilots as the first iteration of real architecture avoid expensive rewrites later.