Observe
What this agent actually did, over a month.
Each agent has a thirty-day view: how many tasks, how many completed without a human, how many approvals, and what changed in the business as a result. Every figure traces back to records — none of it is a modelled estimate.
Autonomy as a percentage, with the remainder named
Ninety-seven percent completed alone, forty-two sent to a human. Both numbers, because the second is what tells you whether the agent is scoped correctly.
Money only where money moved
Collections recovered after a reminder is a real figure from the ledger. Revenue influenced is usually not, and this product does not print it as though it were.
Hours avoided is an estimate, and labelled one
It is a useful number and it is arithmetic on task counts and a configurable time-per-task. It is marked as an estimate wherever it appears, because presenting it as measured would be a lie.
No invented return on investment
The platform will not multiply a task count by an assumed hourly rate and call the result a saving. If you configure your own labour costs, it will show you the arithmetic it did.
Observability
The rest of this area.
Run timelines, reasons, metrics and cost — in business terms.
The run timeline
One run, step by step, in the order it happened.
Why did it do that?
Any action, expanded into the records and rule behind it.
Exception-based management
Agents handle the routine. You handle the exceptions.
Metrics
Tasks, approvals, outcomes. Model usage where it belongs.
Cost
What an agent costs to run, estimated before you deploy it.
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