Discovery Sprint
2–4 weeks
A focused audit of your systems, data and constraints that ends in a scoped roadmap and a realistic cost range — before either of us commits to a number.
Approach
Every engagement follows the same five steps, whether it's a two-week scoping sprint or a six-month build. Working software, every two weeks — not a demo, the real thing.
Method
01
Workshops on objectives, users, systems and constraints. Roadmap before any code.
02
Wireframes and prototypes validated with real users. Every screen approved first.
03
Two-week sprints, working software at every demo.
04
Functional, security and accessibility testing. For AI features, evaluation suites measured against defined thresholds.
05
Monitored deployment, analytics, and data-driven iteration.
Evaluation-first AI delivery — we define how success is measured before we build, so "it works" is a number, not an opinion.
How we engage
2–4 weeks
A focused audit of your systems, data and constraints that ends in a scoped roadmap and a realistic cost range — before either of us commits to a number.
3–12 months
A defined outcome delivered in two-week milestones, with working software at every demo — the model for builds where the destination is already clear.
Ongoing
Engineers, designers and an AI specialist working inside your roadmap full-time — standing capacity for teams whose priorities shift between sprints.
Flexible
One or two specialists — an ML engineer, a platform engineer — reporting into your existing team when the gap is a skill, not a whole build.
Monthly
Monitoring, incident response and iterative improvement for what's already live, including drift checks on any AI feature in production.