Audit and framing
Interviews, architecture review and data assessment, consolidated into one readiness picture.
Before investing in AI, you need to know which use cases are worth building, and what your current architecture can really support.
The audit produces a prioritised roadmap grounded in your data, constraints and operating costs - not a generic maturity score.
Readiness across data, architecture and compliance drives a prioritised use-case portfolio and a phased roadmap.
Interviews, architecture review and data assessment, consolidated into one readiness picture.
Use cases scored on impact, feasibility, risk and operating cost, with a recommended sequence.
A target architecture, a budgeted sequence and the criteria that will decide each next step.
Data availability and quality, current architecture, security and compliance constraints, existing tools and the operating cost of a candidate use case.
I compare options against your constraints and explain the trade-offs. The decision stays yours, and the report documents why each option was kept or rejected.
The output is technical: an architecture target, a ranked backlog and measurable criteria. It is designed to be executed, not filed.
Yes, when it makes sense. The audit and the implementation are separate decisions, so you can stop after the report or continue with a scoped build.