Know what to build before you build.
For organizations with AI ambition and a backlog of opinions. We replace the opinion backlog with an evidence-based portfolio: which use cases pay back, which to retire, and whether to build or buy — before budget is committed.
Four deliverables. No theater.
Your data, platform, security, and governance posture scored across the dimensions that decide whether AI survives production.
Every candidate use case inventoried and scored on value, feasibility, and risk — ranked, not listed.
Three-year total cost of ownership for each component — priced against the system you would actually run, not the demo.
Sequenced by quarter with named owners and budget envelopes. A document your CFO can act on.
Three weeks, typically.
Stakeholder interviews, system inventory, and data access review across the candidate domains.
→ Output: scored readiness baselineScoring workshops with the people who own the workflows — value and feasibility argued in the open.
→ Output: ranked use-case portfolioBuild-vs-buy economics, sequencing, and the roadmap review with your executive sponsor.
→ Output: roadmap + budget envelope