In most enterprises the worst case is disclosure. Here it is a service going down. A control that fails closed on the wrong path is itself an incident.
Chakali for critical infrastructureBring AI to the control room.
Bring AI to the control room.
Never into the control loop.
In an environment where availability outranks confidentiality and a wrong action has physical consequences, AI has to sit beside operations rather than inside them. Chakali makes that separation architectural instead of procedural.
01Why this is harder here
The constraints are not
a matter of preference.
Operational technology runs on long-lived equipment, fragile protocols and maintenance windows measured in years. It cannot be patched on an IT cadence, and it must never be reachable from a general-purpose agent.
Protection and safety-instrumented systems exist precisely so that software judgement cannot override them. Nothing autonomous belongs anywhere near that boundary.
After any significant event you will be asked what the system did and who authorised it. An answer that depends on reconstructing a model's reasoning is not an answer.
02What teams actually build
Real work, inside the boundary.
Your teams compose these from the Skills and Tools that installed Solutions provide. Each one runs under the same identity, policy, approval and evidence model.
Operations and maintenance knowledge
Decades of manuals, drawings, incident reports and vendor bulletins made answerable in natural language, so an engineer finds the right procedure without leaving the boundary.
Alert triage across IT and OT telemetry
Correlate, enrich and prioritise signals from both estates in a read-only posture — analysis flows one way, and nothing the agent concludes can reach back into a controller.
Incident reporting and regulatory notification
Assemble a defensible timeline from the systems of record, drafted against the notification format your regulator expects, with a named person approving before submission.
Outage and maintenance planning support
Specialist Agents weigh asset condition, spares, crew availability and load forecasts, keeping their disagreements visible so the planner decides rather than the model.
03The control model in your terms
Every consequential step
has a name against it.
- 01Identity and duty position
Requests carry the person and the role they currently hold, so entitlements follow the shift rather than the device.
- 02Estate separation
OT knowledge is a read-only scope. There is no tool, credential or route by which an Agent can issue an instruction to a control system.
- 03Deterministic policy
Rules set by your engineering authority decide what proceeds. The model never evaluates its own reach into operational systems.
- 04Named approval
Anything leaving the organization — a regulatory notification, a public statement — stops for the accountable person.
- 05Evidence record
Identity, sources, models, tools, policy results and approvals retained together, in the form an investigation will ask for.
04Where it runs
Deployment follows your risk position.
Inside the corporate boundary, connected to the systems of record but never to the control network.
For the most sensitive operational environments, running with no connectivity in either direction.
Separate instances per plant, region or asset class where an operational boundary must be physical rather than logical.
Which modelsOperational and safety-adjacent workspaces run closed, on models inside your own boundary. Corporate functions working on public material — market reporting, general research, supplier documentation — can be permitted an approved external model under policy, in a workspace with no path to operational knowledge. Compare the deployment patterns →
Chakali for critical infrastructure