Perceptions
One shared model of your people, teams and agents turns scattered activity into workflows you can actually see: where they stall, what they cost, and which ones are worth handing to AI.
Finance counts customers one way, Sales another, and the product team a third. Each definition is defensible on its own, which is exactly why the meeting ends without a number anyone believes — and why nobody can say which workflows are actually costing you.
A Perception is a definition you write once — a team, a role, a customer segment, a unit of work — that every report, query and agent reads. With one model sitting over every connected tool, the work itself becomes visible: which workflows cross which teams, where handoffs sit waiting, how long each step actually takes, and what that time is worth. Not a survey of what people think happens. What the systems already recorded.
Ranked by what they cost, how often they run and how mechanical they are, the workflows worth handing to AI stop being a matter of opinion. And because an automated workflow keeps being measured against the model it came from, the claim stops being “we deployed AI” and becomes “this took nine days, it now takes two, and here is the month it changed.”
The unit is a piece of work that crosses teams and tools, not a chart of one system's activity taken on its own.
Cost, frequency and how mechanical the work is, so the shortlist is ordered before anyone starts arguing about it.
The model that found the workflow is the one that measures it afterwards, so the saving is observed rather than estimated.
Modeled in the vocabulary your company already uses, which is what makes the shortlist arguable in your terms rather than ours.
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