Production-readiness assessment
An honest list of what is missing, from security and testing to monitoring and recovery.
Software & AI development
Prototype to production
Prototype to production turns a working experiment into dependable software that real users can rely on. I identify the gaps between the prototype and production, then add the testing, security, monitoring, deployment and cost controls it needs.
Discuss this service ↗Is this right for you?
Who this is for, and who it isn't.
A good fit if
- You have a working prototype or AI demo and need it ready for real users
- An internal experiment has become important and needs to be properly supported
- A prototype was built quickly and nobody is confident putting it in front of customers
Probably not the right fit if
- The prototype has not shown that the idea is worth pursuing: start with a Project viability review
- The system is already in production and needs an overall health check: see Architecture and system review
What you get
A practical result, not just a conversation.
Prioritised hardening plan
What must be fixed before launch, and what can safely wait.
Deployment and monitoring setup
Repeatable deployment, logging and alerts.
Delivery team handover
Documentation and a plan for whoever will run the system next.
How it works
Three stages, agreed up front.
Assess
I review the prototype and list the gaps to production.
Harden
I fix the launch-critical gaps first, in stages agreed with you.
Launch and hand over
I deploy with monitoring in place and hand over to your team.
Evidence
Relevant work you can check.
Published projects and guides that show this kind of work in practice.
AYO creator economy platform
Led architecture and delivery of a multi-tenant platform from zero to production in nine months, coordinating nine contractors across three time zones.
See selected work ↗Automotive finance CRM
Internal CRM integrating ten existing APIs, with AI-assisted conversations. Supported more than 2,000 production deployments in 18 months and trained over 60 employees.
Read the case study ↗Building agentic AI products (free guide)
Technical guidance on moving an AI product from demo to production, including sandboxing, validation, deployment and operational controls.
Read the guide ↗Common questions
Before you get in touch.
How much does it cost to take a prototype to production?
Builds are scoped in stages. I agree a first stage with a fixed scope and price with you, then plan the next stage with you based on what the first stage has taught us. That keeps cost predictable without pretending every requirement is known on day one.
Will you rewrite our prototype?
Only where it is necessary. Much of a prototype can often be kept; the work focuses on the gaps that make it risky for real users.
What is usually missing from a prototype?
Typically automated tests, error handling, access control, secret management, monitoring, cost limits, backups and a repeatable deployment process. The Building agentic AI products technical guide covers these production-readiness considerations.
Work with me
Is this the right place to start?
Tell me what you are trying to achieve and you and I can work out the most useful next step. Start with a 30-minute call with me.