Where should AI go — and are you ready for it?

Who it is for

Business and technology leaders who need a defensible answer to “where should AI go in our business” — before budgets are committed or teams are reorganized.

The problem it solves

AI initiatives fail in framing, not engineering: the wrong use cases chosen, the data missing for the right ones, no honest build-vs-buy decision. Two weeks of structured assessment replaces months of expensive wandering.

What's included

• Stakeholder interviews across business and engineering
• Data-estate inventory: what exists, where it lives, who owns it
• Opportunity map scored on business value, feasibility, and data readiness
• Data-gap analysis: what must be true before each use case works
• Sequenced roadmap with build/buy recommendations and rough effort sizing

Deliverables

• Written AI readiness roadmap document
• Opportunity map with scoring rationale
• Data-gap analysis per priority use case
• Executive read-out; the roadmap is yours to execute with anyone

Typical duration

Two weeks, fixed scope. Interviews and inventory in week one, analysis and roadmap in week two, executive read-out at the end. No prototypes are built — this is diagnosis, deliberately separated from treatment.

What happens afterward

The roadmap becomes the on-ramp: an Agentic AI Discovery Workshop to align leadership on the first pilot, an Enterprise RAG build, the Agent Deployment Accelerator — six weeks to one scoped production agent — or Data Strategy & Roadmap when the estate needs foundation work first. And if the honest answer is “don't build yet,” we say so in writing; that verdict is a successful outcome.

Start free, then go deep

Our AI Readiness self-assessment is a free self-assessment you can finish in minutes. This engagement is the next level: we get inside your environment and produce findings your team can execute.