AI Readiness Assessment with Claude

Two weeks and a clear answer beats six months of pilots that never reach production. The assessment exists to kill the bad ideas early and fund the good ones properly.

Claude is strongest at sustained reasoning over long documents, careful tool use, and a low rate of confident errors. For ai readiness assessment that matters because the failure modes of this kind of system tend to cluster exactly there.

The honest trade-off: for very high-volume classification or extraction, a smaller model is cheaper at indistinguishable quality. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

We hand over with runbooks, tests and a team that knows how it works, not a dependency.