How it works
Three phases: Roadmap → Architecture Implementation → Team Implementation. I map and price the roadmap, then build and prove the architecture myself; from there your team implements and scales it under my coaching — the safety net built first, ownership transferred as you go.
Phase 1 · Roadmap
You know exactly what's needed and what it costs, before committing to anything more.
Blueprint
Map the architecture, price the roadmap
A standalone, paid diagnostic. I map your current pipeline and system, propose the target pipeline, system, and system-test architecture, assess whether your external systems are configurable enough to test against in isolation, and sequence a roadmap that scopes and prices everything below. Yours to keep, whether or not you go further.
Phase 2 · Architecture Implementation
Proof the safety net works, on one real use case, before you invest in scaling it out.
Architecture Implementation
Pipeline & acceptance-test architecture
First, your team implements the CI/CD pipeline foundation the whole safety net depends on, under my oversight, so it's built to the target spec the first time rather than corrected after the fact. Then I build and prove the four-layer test harness — DSL, drivers, configurability — end to end on one real use case: a main-success run, an error case, and scenarios that span your external systems, tested both in isolation and in parallel. This is the riskiest, highest-value step: it establishes the pattern everything else replicates.
Phase 3 · Team Implementation
Manual testing cost drops with every batch, and your team ends up running the whole thing independently.
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Legacy Coverage
Convert the manual suite
With the architecture proven, your team scales the coverage out from it — converting the regression checks your QA team runs by hand every release into automated Acceptance Tests and External System Contract Tests, highest-risk first, in a fixed set of batches your Blueprint identifies (Pareto-prioritized: the highest-value ~20% first, the rest as capacity allows). Your QA engineers write the coverage and a developer extends the DSL and drivers as new cases require; I coach both and accelerate the work with AI tooling you're never locked into. Converting these checks frees your QA engineers from repeating them by hand every release, and you track the manual-testing cost coming down with every batch. You own the DSL and drivers built along the way — yours to keep and maintain. The boundary is the manual suite that gates your releases today, not your whole codebase. You decide how many batches to run, and each is scoped and priced before it begins.
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Final milestone
Your team takes ownership
Because your team has been building the coverage as it went, ownership is already most of the way there — this milestone consolidates it. I train your Product Owner, QA engineers, and developers to run the same loop — Acceptance Criteria → Acceptance Tests → implementation — on every new User Story and Bug Fix, so nothing new adds to the manual suite you've been paying down. Your developers reach full independence running, reading, debugging, maintaining, and extending the suite. After the engagement, a light recurring review keeps the practice alive — so the confidence outlasts it.