Corporate AI

Corporate AI work starts with choosing a decision, not a model. The first step is a decision inventory: decisions that repeat often, take time and are costly to get wrong — proposal preparation, request triage, technical document search, candidate screening, stock decisions. Tool selection made without that list produces the question nobody can answer later: “where will we use this?”

We then run a data readiness assessment for the chosen use case. The aim is not to organise all the organisation's data but to prepare the minimum needed for that one use case. Waiting for a comprehensive data programme means, in most organisations, never starting; growing data maturity alongside use cases is far more realistic.

Architecture and tooling come after those two steps and are presented in writing with rationale. We are not tied to a vendor; we weigh the existing technology stack, data sensitivity and internal capability together. Pilot design, measurement framework and scaling plan are defined in the same document.