Our AI prototype has to go to production
A demo may act strangely now and then, production software may not. As soon as an AI prototype touches real users, data and business processes, the requirements change. We help determine what still lies between a successful experiment and a reliable production solution.
Does this sound familiar?
The prototype does what it should, but you notice there is still a big gap between demonstrating and going live responsibly.
The happy flow works
Demos go well, but edge cases and errors have hardly been worked out.
You don't know what good enough is
There are no clear quality thresholds, evals or acceptance criteria yet.
Production questions pile up
Security, monitoring, costs, retries, permissions and support suddenly become important.
The first real users are coming
You want to prevent them from discovering the technical weak spots for you.
Where do you want to be?
You want to keep what the prototype has proven, but reduce the technical risks before the system is used seriously.
Reliable under real conditions
The solution can deal with errors, unexpected input and external systems that don't always cooperate.
Measurable behaviour
You can track whether quality, latency, costs and error rates stay within acceptable limits.
Manageable in production
Deployment, logging, security and human oversight are part of the system instead of separate aftercare.
Why does this happen?
A prototype is built to prove an assumption. Production software has to deal with uncertainty, errors and real users for a long time.
See how we approach thisReliability was not yet a main goal
During an experiment, speed of learning is usually more important than complete error handling.
AI does not behave deterministically
Good behaviour has to be measured and bounded instead of only being judged during a demo.
The rest of the software now counts
Data, permissions, integrations, deployment and monitoring become just as important as the AI functionality itself.
Vibe Code Rescue Audit
With a Vibe Code Rescue Audit we first map what stands between the prototype and production. If the route is then large and clear, Build & Integrate can deliver the production version in a controlled way.
View this offer€2,950 excl. VAT
Fixed price · one existing application or codebase
- Result
- Technical grip on what exists and a prioritised rescue plan
- Duration
- About two weeks
- Next step
- A Rescue Sprint for the most important problem, or continue yourself
Why 9to5 for this?
For us, taking AI to production is mainly software engineering around a non-deterministic component. That calls for regular production-grade principles and AI-specific evaluation.
View casesBeyond the demo
We look at errors, edge cases, integrations and operational behaviour.
Human-in-the-loop where needed
Not every risk is solved with more AI.
Built for handover
Architecture and choices are recorded so that your own team can continue afterwards.
What else fits your situation?
Build & Integrate · Fixed price after scoping
You know what needs to be built. We build it professionally, connect it to your existing software and make sure it can be handed over production-ready.
View offerOur experiment became unexpectedly successful and suddenly has real users
What started as an experiment is actually being used. Now the technology has to mature faster than originally planned.
View use caseWe're missing tests, evals or monitoring
The AI functionality runs, but nobody can objectively see whether changes make it better, worse or quietly break something.
View use case