PoC-to-Production Conversion. @poc-to-production

The demo worked, the stakeholders said yes — and now the prototype is quietly becoming the product. That path ends badly: hardcoded secrets, no tests, no monitoring, and a first real incident with no way to diagnose it. The PoC-to-Production Conversion takes the prototype seriously instead — auditing the gap to production and closing it deliberately.

The finish state is a production release you can stand behind: security holes closed, tests covering the paths that matter, deployment repeatable, monitoring live, and a clear statement of what was rebuilt versus retained.

Production Gap Audit

The prototype assessed honestly: what holds up, what must be rebuilt, and what is missing entirely — security, error handling, data integrity, tests, operability.

Hardening & Security

Secrets management, authentication done properly, input validation, dependency updates, and the error handling a demo never needed.

Monitoring & Deployment

CI/CD pipeline, environment separation, backups, logging, and monitoring with alerts — so the release is operable, not just deployed.

Supported Release

A production launch with a defined support path, runbook, and the prioritized list of what to strengthen next as usage grows.

1. Scope — Audit the prototype, agree the keep/rebuild/add lines, and define what production-ready means for this system.
2. Build — Close the gaps in risk order: security first, then reliability, then operability — with tests landing alongside.
3. Handover — Production release, runbook and monitoring handover, and the hardening backlog for what comes after.

The PoC-to-Production Conversion is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

Will you keep our prototype code or rewrite it?

Both, deliberately. The audit marks each part keep, rebuild, or discard on evidence — a full rewrite is rare, and so is keeping everything. You see the verdict before the work starts.

Our prototype was built by AI tools. Does that change anything?

Only the audit emphasis: AI-generated prototypes typically need extra attention on security, dependency hygiene, and dead code. The conversion path is the same.

What happens after the release?

The system is supportable by any team from the runbook. Many teams pair it with the Observability Foundation Sprint for deeper telemetry, or Platform Maintenance for ongoing care.