AI Readiness Assessment
Find out what your AI program is actually ready for — before you spend six figures finding out the hard way.
Most organizations have too many candidate use cases, no reliable signal about which will survive contact with production, and no shared language between the business and the engineers.
This engagement answers four questions in three weeks.
Which use cases are worth doing
Scored on business impact against genuine technical feasibility, not enthusiasm.
Whether your data can support them
Lineage, quality, and access assessed against what those use cases actually require.
What it would cost to run
Modeled at realistic volume, not demo volume.
What has to be true before you start
Governance, skills, and infrastructure gaps named explicitly.
What you receive
- Scored use-case inventory with a recommended sequence
- Data foundations assessment — lineage, quality, access, and blocking gaps
- Reference architecture for the first two use cases
- Cost and effort model at realistic volume
- Governance gap analysis against NIST AI RMF and ISO 42001
- A 12–18 month roadmap with named owners and honest estimates
- A 90-minute readout with your leadership team
Why fixed fee
Fixed fee, because you should be able to buy a decision without buying a relationship. If the assessment concludes you should not proceed, that is a successful outcome and the engagement ends there.
Start a conversation