Your prototype has proved the idea, now make it ready for production
Whether your application was built with AI, by your internal team or by an outside supplier, we can help take it into production. Reaching production means answering tougher questions about security, scale, data and ongoing support. We assess what you have, keep what works and engineer the gaps, whether you are winning enterprise customers or preparing an internal application for everyday use.
What your evaluation includes
Start with a fixed-price technical review of the product you already have. You receive a written assessment you can use with your own team or another delivery partner, with no commitment to a build or ongoing operations.
What we review
- Code and architecture: what is sound, what is fragile and what is worth keeping
- AI features, where present: how they work and which third-party models and services they rely on
- Ownership and dependencies: what you own, what you license and what relies on an external service
- Security, data handling, scale and operational readiness, including the questions your target customers will ask
What you receive
- A plain-English assessment of strengths, risks and gaps
- Prioritised recommendations on what to keep and what needs further engineering
- Recommended next steps against your business goals and customer requirements
- A standalone report to support your next investment or delivery decision
How the evaluation works
Show us the application, who will use it and what you want to release. We agree the review scope, fixed price, delivery date and the repository and environment access required, including when that access will be removed.
You receive the written assessment on the agreed date, including whether the product is already close to ready and the recommended next steps. Any engineering, performance testing or independent penetration testing is scoped separately, with estimates approved before work begins.
The Full Engagement
Evaluate and plan up front. Build and prove the smallest valuable release. Launch, learn and repeat.
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Evaluate your product
A fixed-price review of your code, architecture, data, cloud setup and AI dependencies. You receive a standalone report on what to keep, what needs work and the risks to address before production.
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Agree the plan
If you proceed, we turn the findings into a delivery plan tied to your business goals and customer requirements. We identify the smallest valuable release, then split the work into manageable sections with clear acceptance criteria and estimates approved before engineering starts.
Build, test and prove each section
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Build in focused sections
We take one agreed section at a time, keeping sound code, reworking fragile components and completing missing features. You see working software each week, with a written progress report and hours attached.
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Test under real conditions
Each section is tested against agreed user workflows, realistic data volumes, performance targets and failure scenarios. We fix the gaps and retest so you can see evidence that the work meets its acceptance criteria.
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Prove it, release it and learn
We review the results with you and sign off the release against its acceptance criteria. Before the first production release, independent security testing covers the agreed systems, with findings addressed and evidence reviewed. Real user feedback and production evidence then shape what we build next.
Launch the MVP, learn and iterate to full production
Release with support in place
When the smallest valuable release is ready, we prepare it for production with monitoring, rollback and incident procedures in place. You launch to real users, learn what the market values and use that evidence to shape the next cycle. Each release adds proven value while the product continues to evolve. You receive documentation and a handover, or choose ongoing 24/7 managed operations with agreed support responsibilities.
Start With an EvaluationWhat is included
The Team
- Solution and infrastructure architecture
- Platform engineering, pipelines and release engineering
- Software engineering across backend, web and mobile
- AI engineering with quality gates and observability
- Quality, security and penetration test readiness
- Senior technical leadership for roadmap decisions
The Delivery
- Written evaluation report with prioritised findings and recommended scope
- Written progress report every week, hours attached
- Weekly demonstration of working software
- Readiness tracked against named launch, security and feature lists
The Commercial Model
- Evaluation and defined scope at fixed price
- Build estimates approved in writing before work starts
- Build estimates show AI-assisted effort against the traditional equivalent
- Ownership of commissioned work agreed in writing, with third-party licences identified
- No billing for work a pending decision could waste
Find the gap before a customer does
Get a fixed-price evaluation and a written assessment of what to keep, what needs work and where to go next. If your product is closer to production than you think, we will say so.
Case Studies
Transformation delivery in practice