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Prototype to production
Take an AI-built prototype from demo to production.
The prototype proved the product. Production asks harder questions: can it protect data, survive real traffic, recover from failure, support new features, and pass customer diligence? Verity closes that gap without slowing the team down.
AI prototype to productionAI MVP to productionmake AI app production readyproduction-ready AI appturn prototype into scalable appsecure scalable AI product
When this fits
- The demo works but nobody trusts the internals
- The next customer requires security or compliance answers
- Performance is fine locally but unknown under load
- Deploys are manual or scary
- The team needs a senior engineering backbone for the next phase
Outcomes
- Production readiness audit
- Secure data and auth model
- Performance and scalability plan
- Test coverage for critical paths
- Observability and incident basics
- Repeatable CI/CD and deployment
Deliverables
- 30-day production plan
- Critical fixes shipped first
- Performance and load-testing recommendations
- Testing and CI improvements
- Operational handoff documentation
Questions
How long does the first phase take?
Most teams start with a one-week audit. Implementation depends on risk and scope, but the first remediation phase is usually scoped around the highest-impact 30 days.
Can you work alongside our existing team?
Yes. We can act as the senior production layer: reviewing architecture, fixing critical paths, setting standards, and helping your team keep velocity.
What does production-ready mean here?
Secure auth and data access, predictable deploys, meaningful tests, observable failures, documented operational paths, and code that can support new features without constant regressions.