- Data audit
- Tech gap analysis
- Skills review
AI Readiness Assessment
An honest read on whether your data, teams, and systems can carry AI.
A structured audit of data quality, platform maturity, security posture, and team capability — so you start the projects you can finish and fix the gaps that would have sunk them.
InsightMost failed pilots were unwinnable on day one. Readiness is cheaper to measure than a write-off is to explain.
- A current-state read: the constraints, data, and the decision this work should improve.
- The core build — Data audit, Tech gap analysis, Skills review — delivered to production quality.
- Evaluation, guardrails, and acceptance criteria agreed before launch — not after.
- Handoff: documentation, training, and the same team on support afterward.
AI Readiness Assessment
Tell us what the first useful version of this should prove, and we'll shape the scope around it.