Your enterprise's operational expertise, as governed software.
Operational Intelligence captures how your teams deploy, release and operate, distills it into knowledge that is reviewed, versioned and kept current, and serves it to any agent, any tool, any assistant in the enterprise.
Deploys in your environment. Works with your existing toolchain.
Automation took the steps. The judgment stayed with people.
Every enterprise runs on operational know-how: which pipeline to trust, how a release really ships, what to check before a rollback. Today it lives in people's heads, in scattered runbooks and in tickets nobody reads twice.
That is why automation stalls and why every new team, environment or cloud starts over. Operational Intelligence makes the judgment itself reusable, so AI can carry the operational load and people can move to the loop: setting intent, defining guardrails and judging outcomes.
Capture → Distill → Serve → Reuse
Agentless and read-only. Connects to the systems where delivery happens and observes how experts actually work.
Turns activity into knowledge units. Every unit carries an owner, a version and an approval date.
Governed execution for agents and engineering teams, with audit traceability and the customer's own Git as the system of record.
Approved knowledge is replayed across teams, environments and clouds, and improved with every run.
Three things a wiki, a RAG index or a script can't do.
Knowledge stays
Captured expertise belongs to the enterprise and lives in your own Git. It outlasts reorganizations, vendors and project teams.
Knowledge is governed
Owner, version and approval on every unit. AI acts only on what has been reviewed, and every action is traceable. Nothing crosses between customers.
Knowledge compounds
Each deployment, eval and incident adds to what the next one can draw on. The more AI you deploy, the easier it gets to operate.
| Today | With Operational Intelligence |
|---|---|
| Expertise leaves with the engineer or consultant | Expertise is captured once and kept |
| Docs go stale the week they're written | Knowledge is versioned, owned and kept current |
| Each AI tool learns, or guesses, on its own | One governed source serves every agent and assistant |
| Every new cloud or team starts from zero | New environments are generated from what's known |
Runs in your environment. Stronger with AgenticOps.
In your environment, with your tools
Operational Intelligence deploys in your cloud, data centre or air-gapped network and works alongside your existing pipelines, agents and tools. Knowledge stays in your own Git, with ownership, versioning and approval built in.
Enforced at runtime
The same knowledge is also enforced at runtime, on every model call, agent release and MCP interaction, through one governed control plane.