Automation needs a stable object
AI can draft, classify, route, summarize, and respond. It cannot decide what the business means by qualified, complete, approved, or exceptional unless those definitions exist.
When the underlying process changes from person to person, an agent does not remove the inconsistency. It reproduces it at greater speed.
Readiness has four foundations
The process must be visible, the data must be trustworthy, ownership must be explicit, and exceptions must have a destination. Those four conditions matter more than the novelty of the model selected.
A useful readiness assessment therefore begins with workflows and decisions, not a catalog of possible agents.
Deploy against a measured constraint
Choose the first automation where delay, repetition, or inconsistency is already measurable. Define the human approval boundary and the evidence that will show whether the constraint moved.
The best first agent is rarely the most impressive demo. It is the smallest governed intervention that removes real operating friction.