AI-assisted delivery
AI takes on the repetitive, time-consuming work. Engineers make the decisions and sign off every stage. The result: speed without shortcuts.
Turns interviews and notes into user stories, edge cases and a first backlog.
Challenge assumptions, prioritise with you, define success metrics.
You receive: Scope, estimate and roadmap
Generates UI variants, flows and a clickable prototype in hours.
Shape the UX, choose the architecture, validate with your users.
You receive: Clickable prototype + tech plan
Pairs on code, scaffolds features, writes docs and migration scripts.
Review every pull request, own security, performance and code quality.
You receive: Working software every week
Generates unit, API and E2E tests; flags regressions in CI.
Exploratory QA, acceptance testing, release decision.
You receive: Test reports & release notes
Monitors logs, suggests fixes, finds cloud-cost savings.
Operate, improve and report measurable results to you.
You receive: Stable product, lower running cost
Guardrails
No AI output reaches production without an engineer’s review.
Tests, linting and security scans must pass on every change.
Private deployments or vetted providers. Your data never trains models.
Lead time, defects and cost are tracked and shared with you.
Cost optimisation
Typical effort per stage compared with a traditional team (traditional = 100).
Ready when you are
Share a rough idea — we break it down with our AI-assisted workflow and come back with scope, timeline and a fixed estimate.