Operations control

Auditable AI: what it cost and why it did each thing, on every run

Every time a Tracy agent works, it leaves a session with its cost in credits and the explanation behind each result. Plus evals that measure whether it keeps getting it right.

Auditable AI

Tracy screens with sample data.

The questions you're asking yourself

Do you know how much AI costs you per process, or do you only see the monthly bill?

Can you explain why the agent recommended what it recommended?

How do you know the agent is still getting it right after a change?

How Tracy solves it

One run, one session

Everything an agent does runs in a session with its cost, including what runs automatically.

Cost per result

The session's cost divided by what it produced: how much each suggestion, each task or each customer costs.

Why it did each thing

Every result keeps its explanation and its sources, and each person sees the one meant for them.

Evals on real data

Tests that measure whether suggestions are fulfilled and whether processes keep getting it right, with their cost shown separately.

Audited log

Who asked, which identity acted, what changed and with what approval.

Customers already solving it

Frequently asked questions

Each explanation states who it's meant for: a person, a user type or an area.

Yes. They run like any other session, and their cost is shown separately.

On every run and in the usage dashboard, by process, by identity and by company.

Let's look at it with your data

30 minutes to show you how it would look in your operation.