Enterprise AI, aimed by process evidence.
We find the decisions that actually cost days, draw the control boundary, and automate only what the data justifies.
Your event log already knows which decisions cost days.
Three decision points hold twelve days between them. That is the AI backlog – not the other twenty-six.
From a two-week assessment
9
Decision points reviewed against the mined process.
3
Cleared the evidence, the boundary and the control requirement.
4.4
Days of waiting removed once those three were automated.
Governance decides whether enterprise AI survives.
What the agent may decide, what it must escalate and what evidence it leaves behind are the questions an audit will ask first. Model choice is a detail by comparison.
We draw that boundary from your process data, then instrument the deployment exactly the way we instrument any other process step.
Everything else is a demo with a good narrator.
See where AI belongs in your process.
We map every candidate against your event data before anyone scopes a build.