Finance traces a variance without a ticket.
Click the number in the packet. See the table, the transform, and that the data sync job lagged Thursday. Send the card to the data team with one click, already diagnosed.
Click a chart to see the upstream table, transformation, and freshness. Governance scoring, data sync monitoring, and approval workflows for production data.
The number changed. Nobody knows why. Everyone knows who to call.
A variance shows up in the weekly executive report. Finance calls the analyst. The analyst calls the data engineer. The data engineer opens four consoles. Two hours later: a data sync job silently stopped on Thursday.
"We get no notification whatsoever that there's an outage with [our data sync]," a supply-chain lead told us. That was the problem statement.
The trace is one click, not one afternoon.
Trace. Every chart, measure, and cell resolves to its upstream table, transformation, and freshness. Version-aware: if the source changed since the agent read it, the citation says so and opens the version it saw.
Score. A governance agent weights production tables by usage and criticality, monitors lineage health, and proposes quarantine for bad inputs.
Watch. Pipeline health flags stale, failed, or over-complex pipelines and sync gaps, with a root cause and a plain-language summary sent to Slack, Teams, or email.
Approve. Changes to definitions, quarantines, and fixes go through an approval workflow. Every decision is logged with an author.
Lineage. Click any number to see the query and tables behind it, and who changed the definition, when.
| Capability | People can | Agents can | Together |
|---|---|---|---|
| Lineage | Trace a figure to its source before it goes in front of the board. | Cite the source of every number it produces. | One trail for human and agent changes alike. |
Anything a person can do here, an agent can do with the same permissions, and both land in the same audit trail.
Click the number in the packet. See the table, the transform, and that the data sync job lagged Thursday. Send the card to the data team with one click, already diagnosed.
Pipeline health detected a stopped data sync job, identified the last successful run, and posted a summary a supply-chain manager could read: "Southeast sales are 3 days stale; fix in progress." Built after a retail supply-chain workshop asked for exactly that.
Weighted scoring of every production table by usage, criticality, and lineage health. A ranked list of what to fix first, with an approval queue for quarantines.
Time travel to the version a reviewer saw. Which agent, which sources, which human approved. Built for audit methodology and risk teams.
Every citation in Athena is version-aware. If the underlying page, cell, or table changed after the agent read it, the chip flags "source changed · review" and opens the historical version.
“We have a variety of tools today that we have trails for, but not many of them can quickly and easily revert back to the previous versions.”
“Some of the traceability stuff that you guys have within your tool that doesn't exist anywhere else”
“Audit logging, user ID timestamp, data sources access, generated outputs. Yep.”
“I love this feature. This is our favorite feature because we're auditors.”
“So you gave her three sentences. And she spit out that.”
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
“Gave Athena the spreadsheet, explained which column I was trying to figure out, and then ten secs it told me... exactly how the calculation was based on the other data.”
“He wrote the entire stuff. By itself. And I was there, and I was thinking, alright. If I had to write all this stuff, I mean, I would've spent days, days, days.”
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
Verbatim from customer calls. Customers anonymized.
Lineage is automatic; there is nothing to configure per chart.
Governance decisions are approval-gated and logged with an author.
Every agent action in the data layer is attributed and reversible.
Runs with the platform in your environment.
Lineage is only as deep as the systems you connect. If a spreadsheet is emailed into a pipeline, the trace ends at the email. Connect the boring systems first.
Where any number came from and everything that depends on it.
Yes. It detects late or missing data and alerts owners before reports go out.
Yes. Agent outputs cite the data they used.
Records every change by a person or an agent, rolls back one contributor's edits without losing anyone else's, and keeps the model, instructions, and sources behind each agent action.
How the platform is deployed: Athena's managed cloud, your cloud on AWS, GCP, or Azure, on-prem, air-gapped, or GovCloud. Same platform in every option.
Build, Work, and Data on top; 150+ connectors and every surface in and out; one map of the whole platform.
We will trace it in front of your finance and data teams. Same meeting.