OperonX builds governed, agentic AI that monitors controls, protects data, and completes the work — inside the systems your enterprise already runs on.
Enterprises don't need another model to consult. They need work completed — controls tested, data protected, tasks closed — with the assurance it was done correctly. That demands more than intelligence. It demands governance.
Every OperonX product is one expression of the same governed foundation — so controls, privacy, security, and automation share one design, one policy model, and one accountable record.
Purpose-built for the work that must never go wrong — controls, privacy, and the governed agents that run them.
Controls that test themselves. An agent on every control — watching systems of record, testing as events happen, gathering evidence, and escalating only what needs a human.
Privacy operations, run by agents. Discover personal data across the estate, honour obligations on time, and hold a defensible record — continuously, not at audit time.
The substrate beneath every agent. Permissioned agents connected to your systems, acting within policy, with every decision captured and a human in command.
Not a list of features — a foundation. Each capability exists to make autonomous work defensible in production, at enterprise scale.
Together they are what separates an agent you can demo from one you can put into production and stand behind.
Agents reason across systems and complete work — not scripts that break on the first exception.
Point-in-time audits give way to controls evaluated the moment conditions change.
Data-protection obligations are enforced in the flow of work, not reconstructed after.
Every agent runs inside explicit policy. Every action is attributable, logged, reversible.
Native connectors to the platforms that run the enterprise — cloud, data, and applications.
Least privilege, isolation, and encryption are defaults, not switches you remember.
We build for regulated, high-consequence organisations — the places where a control missed or a record mishandled carries a real cost. The bar is the same everywhere: prove it.
Regulators differ by sector; the demand is shared — show the control worked and the data was handled correctly.
A missed control or mishandled record is not a warning. It is a finding, a fine, or a loss of trust.
Governed agents that act inside the rules and leave a record — so the proof exists before anyone asks.
Four layers, each accountable to the one above it — so autonomy at the edge is always answerable at the top.
People set intent, grant approvals, and review every action through one control plane.
Agents plan and act inside declared scope and policy, enforced at every step.
Reasoning, inputs, and actions are captured as a complete, replayable record.
First-class, least-privilege connectors to cloud, data platforms, and applications.
Every layer is a default, not a setting to remember — scoped access, isolation, and policy checked at the point of action.
Agents receive the narrowest access the task requires — nothing more, scoped and revocable.
Workloads run isolated and encrypted, in transit and at rest, without extra configuration.
Every action is checked against explicit policy before it runs — not flagged after.
Each decision carries its evidence, retained as a defensible, replayable record.
SSO, role-based access, and approval gates integrate with the controls you already run.
Where it matters, actions are logged and undoable — autonomy without irreversibility.
Choose the model that fits your controls — the governance guarantees are identical across all three.
Your data never leaves your boundary. No migration, no copies held outside your control.
Deploy OperonX inside your own AWS, Azure, or Google Cloud tenancy. Your data never leaves your boundary.
Run on infrastructure we operate, with enterprise isolation and the same governance guarantees.
Agents read and act through governed connectors — no rip-and-replace, no data migration.
Agents read and act through governed connectors — no rip-and-replace, no parallel stack. The systems of record stay exactly where they are.
Not a faster dashboard — a different operating posture. Assurance becomes a property of the work, not a project after it.
Assurance that reflects the enterprise today — not last quarter's sample.
The record is a by-product of the work, so audit preparation largely disappears.
Control failures and privacy gaps surface as they happen, while they are cheap to fix.
Skilled teams stop chasing evidence and return to judgement — the work only people can do.
The compounding result: an enterprise that is provably in control — continuously, not on the day of the audit.
Tell us where the work is hardest. We'll show you what an agent can safely take off your desk — and prove it did.