Observe
See exactly what every agent did.
Every run produces a timeline: what triggered it, what it read, what it decided, what it did, what it asked a human about and what it cost. Readable by the manager who owns the agent, not only by the developer who built it.
Written for the owner
"Read 214 open invoices, 42 overdue" rather than a trace of API calls. The developer view exists too, and is one click away, but it is not the default.
Every action can be interrogated
Any step can be expanded into why it happened, citing the records and the rule that produced it. An agent that cannot explain itself is one nobody will let near a customer.
Measured in work, not tokens
Tasks completed, approvals needed, money recovered, hours avoided. Model usage is available to the people who want it and is not what the product reports as its result.
In this area
6 pages under Observability.
Each one is its own surface in the product, and each one is here because it does something the others do not.
The run timeline
One run, step by step, in the order it happened.
ReadWhy did it do that?
Any action, expanded into the records and rule behind it.
ReadException-based management
Agents handle the routine. You handle the exceptions.
ReadMetrics
Tasks, approvals, outcomes. Model usage where it belongs.
ReadImpact
Thirty days of one agent, in figures you can check.
ReadCost
What an agent costs to run, estimated before you deploy it.
ReadThe rest of the platform
This is one part of one loop.
Give AI a job.
Build an agent, choose what it can access, define what it may do, and deploy it to work safely across your business.
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