Is your operational data reasoning-ready?

Most AI tools pointed at your historian will happily produce an answer. They'll explain a vibration spike, extrapolate a forecast, or summarize a fault log — without ever checking whether that answer is consistent with what the asset can actually do.

Reasoning AI needs more than a data feed. It needs to know what's connected to what, what documentation governs the asset's real limits, and which signals can be trusted when one degrades. Most industrial data estates were never built with that in mind — telemetry lives in one system, documentation in another, and asset context nowhere at all.

The Reasoning Readiness Assessment tells you, concretely, which of those foundations you have — and what it would take to close the gap.

Readiness isn't binary. It's a path — most industrial organizations sit somewhere in the middle, with strong telemetry and weak semantics, or the reverse. The assessment places you on this path and shows what the next stage actually requires.

Start with an assessment. Move to a blueprint once you know where you stand. When you're ready to build, Implementation and a dedicated RunnerTau model take you the rest of the way — each scoped once you get there, not sold upfront.