Requirements and design
Turn rough ideas and operational needs into user journeys, acceptance criteria, prototypes and architecture options.
AI builds. Experts direct and check.From a useful idea
From a useful idea
to a reviewed release.
We combine AI-assisted delivery with experienced engineering judgement. The business defines what success means; the delivery process turns that into reviewable changes and evidence that the result works.
Writing code quickly is valuable only when it solves the right problem, integrates safely and remains understandable to the people who will own it.
Discuss this service →What we can design and deliverA defined scope.
A defined scope.
A useful outcome.
Websites, apps and integrations
Build features, APIs and connections across commerce, business systems, payments, couriers and internal tools.
Automation and modernisation
Develop scripts and integration workflows; assess legacy code and plan incremental, testable changes.
Database engineering
Prepare reviewed queries, schema changes, migration scripts and performance investigations.
Review and verification
Separate implementation from review, exercise meaningful test cases and inspect security-sensitive paths.
Documentation and operations
Provide release notes, technical guides, API information, runbooks and a practical handover.
A controlled workflow
Clear steps. Visible decisions.
- 01Agree the outcome
- 02Design and prototype
- 03Implement
- 04Review and test
- 05Human release approval
People own business priorities, architecture, security, payment decisions and release approval. AI assistants are always identified as AI.
Your delivery pack
What you take away.
- Requirements and acceptance criteria
- Version-controlled source code
- Review and test evidence
- Release and recovery notes
- Documentation and ownership handover
Evidence from the pilot
What we measure.
- Lead time for accepted changes
- Defects and rework
- Review and test coverage against critical journeys
- Maintainability and release outcomes
Baseline, workload, scope and success criteria are agreed before the pilot. Results and savings are measured, not guaranteed.
Works with your environment.
Client-approved AI development tools, GitHub source control, automated tests and a release pipeline suited to the stack. We use this approach today on NokarOnline, our founder’s own business.
View the technology capability map →Connected services
Build the right combination.
AI-assisted testing and QA
Use AI to help design and maintain tests, then run them in repeatable tools with results that engineers can inspect.
Explore the serviceDigital products and commerce
Bring websites, apps, supplier data, orders, fulfilment and Amazon seller profitability into a connected view.
Explore the serviceAI and automation
Join security, IT operations and business workflows with scoped access, tested actions and evidence of what changed.
Explore the serviceHow every product startsOne project or one application, measured in writing
1. ShadowThe AI works beside your team
2. Run approved tasksYour process owner checks the results
3. MeasureHours and cost saved, in writing
Let’s work together
Discuss your project Start with one useful outcome.
Let’s agree the scope, evidence and controls for a focused pilot.