AI Consulting That Tells You What Not to Build

A ranked use-case inventory, a data-readiness assessment, an integration architecture, and a phased roadmap with costs, risks and a recommended first phase. Enough to take into a budget conversation, and enough for another supplier to build from.

No. The discovery is priced and delivered on its own, and the roadmap is written to be handed to whoever builds it. Most clients continue with us because the estimates came from the people who would do the work, but nothing in the engagement requires it.

We start with a short discovery call to clarify goals, constraints, and success metrics. Then we identify high-impact AI use cases, review your data and systems, and propose a phased roadmap with costs and risks attached to each phase.

Discovery runs 2 to 4 weeks, an MVP typically lands in 8 to 16 weeks of weekly-demo sprints, and operate is an ongoing arrangement with monitoring and support after launch.

Fixed-scope work is priced per milestone, dedicated teams are billed monthly per seat, and staff augmentation is weekly or monthly. You pick the model that fits and can switch between phases. There is a fuller breakdown of what moves the number on our AI development cost page.

You do. The full repository, documentation, and deployment transfer to you at every milestone, with no lock-in to us.

NDAs from day one, scoped access, and data residency decided at the architecture stage. We work within HIPAA, SOC 2, and similar requirements where they apply.

We monitor accuracy, cost, and uptime, run regression checks as models drift, and keep a defined escalation path with support so the system stays healthy after release.