We deliver modern software with AI agents and senior specialists working as one team, and we apply the same method to the systems you already run. Ageing platforms are reviewed, understood and modernised with the rigour of test-driven, decision-logged, fully automated delivery.
Most organisations run business-critical systems on platforms well past their supported lifecycle. We turn ageing, undocumented codebases into modern, maintainable technology — without betting the business on a big-bang rewrite.
AI-assisted code analysis rapidly maps a legacy system's architecture, business rules, data structures, integration points and technical debt — building in days a picture that traditionally takes months of manual analysis.
The business rules embedded in decades-old code are extracted into a standalone, reviewable requirements artefact — validated with the people who know the system, and backed by test harnesses built against every requirement.
Every review ends in a concrete recommendation — refactor in place, replatform, rebuild, or adopt an off-the-shelf replacement — with a phased, fixed-price plan to get there.
A structured, low-risk process with clear decision points and tangible outputs at every stage — the same discipline whether we are modernising a legacy platform or building something new.
A short, focused discovery phase combines AI-assisted analysis of the existing codebase with a small number of expert interviews — producing a comprehensive review of the architecture, business rules and risks, and a recommended path forward.
Requirements are extracted, documented and signed off as a standalone artefact before any build begins — and a suite of test harnesses is built against them, so "done" is defined before development starts.
Working software is showcased every two weeks and validated continuously against the test harnesses. Test-driven by default, architecture decisions logged as ADRs, and every change deployed through automated CI/CD pipelines.
We don't create dependency. Everything we build is documented, tested and yours — with knowledge transfer, training and post-deployment support until your team runs it confidently.
Agent-based delivery only works when it is governed. Our teams run on Scoop Projects: an agile delivery platform where AI agents and humans manage work as equal-class actors.
Agents pick up cards, plan, build and move work through the same governed workflow as any other member of the delivery team.
Workflow steps can require human approval, so people stay in control of the decisions that count while agents keep the routine work moving.
Every card, transition, comment and approval is captured — a delivery engine you can inspect at any point, with an audit trail from idea to production.
The people you meet are the people who deliver — senior technologists, not junior consultants managed by partners.
We move fast because we have done this before. Discovery can begin within days of code access being arranged.
What you get is working software, migrated systems and documented architectures — not reports and roadmaps.
Engagements are fixed price with defined outcomes. We commit to the result and carry the delivery risk.
Discovery is a short, fixed-price engagement that stands on its own — a clear picture of your system and a modernisation roadmap, regardless of what comes next. Register your interest and we will make contact.