
Data readiness: the work that makes AI possible
Models get the attention, but data decides whether an AI project succeeds. How to assess readiness and where to invest first.
Insights
Practical notes from our work with clients: what we tried, what worked and what we would do differently.

Models get the attention, but data decides whether an AI project succeeds. How to assess readiness and where to invest first.

Many generative AI pilots never ship. The ones that do share four habits: clear evaluation, guardrails, cost control and an owner.

Start with one business goal, check the data behind it, and prove value in weeks rather than quarters. A practical first-ninety-days plan.