From a shared problem to a working system.

We work through the current process with the people who use it. We identify constraints, data sources and the decisions the system must support.

• Output: a problem brief, scope and delivery proposal
• Decision: which workflow is worth testing first
• Measure: a baseline for quality, time, effort or cost

We build the smallest useful version of the critical workflow and test it with representative examples. Human feedback helps expose gaps before the implementation grows.

• Output: a working prototype and evaluation notes
• Decision: continue, revise or stop based on evidence
• Measure: task completion and output quality against agreed criteria

We turn the validated workflow into the agreed system, including the interface, selected integrations, review controls and recovery paths.

• Output: an implementation ready for acceptance testing
• Decision: whether launch criteria are met
• Measure: reliability, latency, operating cost and review effort

We document how the system works and agree who operates it. After launch, actual use informs the next improvement rather than an expanding list of assumptions.

• Output: documentation, handover and agreed support responsibilities
• Decision: which follow-up changes deserve investment
• Measure: sustained usefulness compared with the original baseline

A CAP-style editorial workflow raises a practical question: how much revision does a draft need before someone will approve it? A RepoHunter-style catalog raises another: can someone retrieve a useful repository without remembering its name? We choose checks around the task your product serves and agree the acceptance criteria with you. These are examples of what to test, not reported product results.