Delivery Models
Proof-of-Concept-to-Production Handoff
Taking a prototype that proved an idea works and rebuilding the parts that don't survive contact with real data, real load, or real users — the gap most proofs-of-concept never cross on their own.
Production Hardening · Scaling · Prototype Rebuild
What it is
A proof-of-concept is built to answer one question — does this idea work at all — and almost never to survive production conditions. This engagement takes a prototype that's already proven its point and rebuilds the parts that break under real data volume, real concurrent users, and real edge cases, rather than starting over from scratch.
How it works
- 01Assess what the prototype actually proved
What the PoC validated, and — just as importantly — what it deliberately skipped to move fast.
- 02Identify what won't survive production
Load, error handling, security, and data-scale gaps between prototype and production conditions, named explicitly.
- 03Rebuild only what needs it
Reusing what already works, rebuilding what doesn't — not a wholesale rewrite of a prototype that proved its core idea correctly.
- 04Ship with production monitoring
The same operational standard as any other production system — not a prototype left running with production traffic on it.
Benefits
- A path from proven idea to production system, without starting over
- The specific production gaps named explicitly, not discovered after launch
- What already works in the prototype gets kept, not thrown away
Frequently asked
Do you always rebuild the prototype from scratch?
No — the goal is to keep what already works and rebuild only what doesn't hold up under real production conditions.
What if we didn't build the original prototype ourselves?
That's the common case, not an exception — the assessment phase starts by understanding what exists, regardless of who built it.
Also under Delivery Models
An audit of what you're actually running today, before any AI or integration work starts.
AI Strategy & AdvisoryWhere AI genuinely fits in your systems and where it doesn't, made explicit before anything gets built.
Ongoing Managed AI SupportMonitoring and maintaining an AI system after it ships, instead of letting it degrade quietly.
Fixed-Scope Product BuildsA defined piece of software, scoped and quoted after discovery, delivered at a fixed cost.
Documentation & HandoverWritten documentation of what was built and why, so your team can extend it without calling back.
Not sure this is the right fit yet?
A scope call is a lower-commitment way to find out before anything gets built.