At the network
The primary lens. Every AI request crosses the wire, so one place sees all of it, with nothing to install in your apps.
The observability layer for every AI your company already runs on. Every person and every agent, mapped to a tool, a model, and a dollar. No SDK, no rewrite.
Most tools only watch SDK traffic. Oximy sees the browser, the desktop app, the terminal, and the agent, and keeps it live.
It came in through the browser, the IDE, the desktop app, the coding agent, and the personal login with company data in it. The tools that claim to see it only see the sliver that runs through an SDK.
So the single biggest shift to hit your company is also the one you have the least ground truth on. Visibility gives you that ground truth, and keeps it live.
You cannot put a sensor inside thousands of apps. You do not need to. Every AI request still crosses your network, so that single chokepoint sees all of it, without touching a line of your code.
Security is the whole point, not a footnote. Capture is scoped to policy and sensitive content is redacted at the edge, before anything is stored.
The primary lens. Every AI request crosses the wire, so one place sees all of it, with nothing to install in your apps.
Usage and billing straight from the vendor, so official spend is exact, not estimated.
When you want prompt-level detail, an agent adds it, with redaction applied at the edge before anything is stored.
A live estate sees hundreds of AI apps. These are a few of them.
The network sees the traffic. First-party integrations add the account behind it: usage, billing, and seats direct from the vendor. Official spend is exact, and every login has an owner.
One continuous drill-down. Start at the live company view and move to the person, team, tool, or workflow behind it without losing context.
Every person's tools, usage, and the work they do with AI.
Every recurring pattern is clustered and tagged with an action, so the map turns into work rather than a report you read once.
Drafting the same customer replies by hand
AutomateTen people summarising one weekly report
AutomateFour teams paying for overlapping tools
ConsolidateSensitive data pasted into a free chatbot
GovernA team stuck on trial-and-error prompting
TrainA frontier model doing simple classification
OptimiseSeat cost, usage cost, and a forecast of where overage lands, plus the subscriptions nobody put on a purchase order.
Set usage limits per team so spend stays meaningful, and reassign or reclaim seats before the next renewal.
Governance is woven into the same record, so every decision carries the reason, the owner, and the evidence behind it.
Run a tool review against a catalogue that already knows the vendor, so you are never starting from a blank page.
Agents from every platform and your own custom builds, consolidated, with run costs and forecast anomalies in one ledger.
Once you can see every interaction, you can optimise it and own it. The same record trains Relay to route on your real traffic, and powers Sidekick to nudge people into the company app at the moment of work. More work, more signal, a sharper record.
The record exists to help people work well with AI. What it needs, it captures under policy. What it does not, it never touches.
Run it in managed cloud or fully on your own infrastructure, with an audit trail on every administrative change.
Yes. Visibility is the observability layer, so it never stops watching. The record keeps itself current as tools, teams, accounts, agents, and spend change, which is where the recurring value comes from.