A POC that stays a POC is a failed POC. The win isn't proving the idea works — it's taking the proof to a production system before the org loses interest.
The POC-to-production gap is where most AI initiatives die. The POC demos, the room applauds, and then the rebuild never happens — because the POC was never scoped to become production.
Scope the POC as the First Version of Production
The opportunity framing: don't build a POC that you'll throw away. Build the smallest version of the production system — same integration, same ownership bar, same audit path — and treat the POC as its first deployment. The throwaway POC is the most expensive thing you can ship.
- Integrate with the real stack from week one, not the sandbox.
- Own the audit and escalation path from the first run.
- Define "production" before you build the POC, not after.
Measure Against the Production Bar
Process measurement: the POC isn't judged on "does it work." It's judged on the same bar production is — owner, escalation, audit, kill switch, eval. If those are present from the start, the POC is a deployment, not a study.
- Owner named at week one.
- Eval running by week two.
- Kill switch and escalation by week three.
- Production deployment by week four to eight.
What Kills the Timeline
- The POC was built in a sandbox and "production" means a full rebuild.
- Compliance and audit were "phase two" — so phase two never starts.
- No owner was named, so the handoff never happens.
How FACTA Frames It
FACTA's forward-deployed work ships one real AI workflow in production in 4-8 weeks, integrated with the client's systems. The timeline holds because the POC is scoped as the first production deployment, not as a throwaway — the rebuild is designed out from the start.
Conclusion
Taking a POC to production in 4-8 weeks is a scoping decision, not a speed trick. Scope the POC as production's first deployment, measure against the production bar, and the timeline holds.
About FACTA
FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.
We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.
Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:
AI leadership that builds. Not just advises.
Tell us about a POC that won't die.
We'll tell you what it would take to make it production by week eight. See your first agent in production for the checklist.
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