We start with a short working session to understand your goals, constraints, and context. We look at what you've already tried—or wanted to try—with AI, and where things stalled. We assess business goals, existing systems, past AI attempts, and organisational readiness. Decision gate: Proceed to AI Readiness Assessment.

We dig into your data and systems to understand what's actually possible. This is mostly interviews, light audits, and hands-on review—not heavy build work. You get a readiness score, clear blockers, and 2–3 realistic AI use cases ranked by effort vs. impact. Decision gate: Proceed to Data Foundations—or stop with a clear plan.

We translate findings into a concrete plan with current-state and proposed architecture diagrams, a prioritised foundation roadmap, and clear scope for implementation. Decision gate: Sign off on Data Foundations work.

We implement the minimum infrastructure needed to make AI viable. We wire and clean data from the right systems, define schemas and access rules, set up ETL/ELT pipelines, and add governance plus health checks. Outcome: a production-ready data foundation with trusted analytics. Decision gate: Proceed to an AI use case—or pause with production-ready foundations.

We ship one AI workflow tied to a real KPI. We scope, integrate, validate, and iterate the solution—whether that's internal search, support automation, analytics augmentation, or decision support. Outcome: one AI use case live in production.

You own the code, data, and documentation. We run a walkthrough with your team and leave you with a clear roadmap for iteration, expansion, or independence.