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AI & AUTONOMY

An agent with abudget of authority.

The copilot can read the plant, author a procedure and ask for it to be run. What it cannot do is decide how far it is allowed to go — that is granted to it, in writing, with a ceiling and an expiry, and enforced server-side on every request.

The Djinious copilot showing a proposed curtailment procedure, its dry-run result with all assertions passing, six intercepted commands, and an approve-and-execute gate labelled C4.
One prompt, the whole loop: proposal, dry-run verdict, the commands it would issue, and the gate that decides whether they are real.Djinious copilot · one prompt
THE RULE WE BUILT AROUND

AI is an accelerant, never a dependency

The closed loop is deterministic. Grounding, procedure authoring, compilation, validation, dry-run and execution all run with no external model in the path — so the plant does not stop when an API does. A language model can be attached to widen what the copilot understands. Nothing load-bearing sits behind it.

ONE PROMPT, FOUR STEPS

What actually happens between the prompt and the plant

  1. 01

    Ground

    The intent is resolved against the live twin: which assets, which tags, which limits, what is currently true. An intent that cannot be grounded is rejected here, not halfway through execution.

  2. 02

    Author

    A Process Intent Representation is emitted and compiled to BPMN. Static validation reports the required capabilities, the authority class the procedure would need, and its blast radius.

  3. 03

    Prove

    The procedure is dry-run on an isolated twin. Commands are intercepted. The scenario's assertions and the procedure's own acceptance criteria are both evaluated against measured aggregates.

  4. 04

    Gate

    A human sees the proposal, the proof and the authority class it needs, then approves or rejects. Approval is what turns intercepted commands into real ones.

POLICY

Two dials, both server-side

Authority bounds what an agent may ever request. Autonomy bounds whether it may act on its own. They are independent, and both are checked on the server on every command — a client cannot talk its way past either.

Authority · what may be requested

C0
Read configuration
C1
Read data
C2
Propose
C3
Reversible configuration change
C4
Operational action
C5
High-consequence action
C6
Safety-relevant action

Autonomy · who may act

L0
Advisory only
L1
Propose — a human executes
L2
Execute on approval
L3
Autonomous, notify
L4
Autonomous, review after

The bundled grid copilot is granted C4 / L1: it may author and propose a protective procedure, and a human executes every field action. That grant carries a justification and an expiry.

The Djinious autonomy page listing agent grants with their authority ceiling, autonomy level, scope, justification and expiry.
Grants are records: ceiling, level, scope, justification, expiry. Revoking one takes effect on the next request.
GUARDS

Six things that stand between a request and a register

None of these are advisory. Each is checked on the server, on every command, whoever issued it.

  • Interlocks before every write

    Each command is checked against the asset's interlock set before it is issued. A failed check raises an incident; it is never retried around.

  • Independent read-back

    Confirmation reads an applied-setpoint echo written by the plant model or device, not the register the command just wrote. A tautological acknowledgement is not an acknowledgement.

  • Second-person approval

    Safety-classified actions require a different person to approve than the one who requested. The requester cannot self-approve.

  • Kill switch

    One control halts agent-originated execution across the deployment, without taking supervision or acquisition down with it.

  • Attribution end to end

    Every command records who or what issued it — an operator, a process instance, the copilot, or an external OPC-UA session with its user name.

  • Audit events

    Governed writes and method calls raise audit events carrying the client user id, delivered to subscribed clients as well as the local log.

EVIDENCE

A procedure's proof is kept, not remembered

Every dry-run is stored with its seed, its aggregates, its assertion verdicts and the commands it intercepted. Six months later the question 'was this ever tested' has an answer.

The Djinious simulation page with baseline and with-process dry-run panels and a run history showing pass and fail verdicts.
The dry-run history is kept. A procedure's proof is a record, not a moment.

Decide how much rope your agent gets.

We will walk through the policy model against your own safety classifications and show you what an agent can and cannot do at each level.

DjiniousControl Center

Supervise the plant, author the procedure, prove it on an isolated twin, execute under policy. One governed loop.

  1. Observe
  2. Author
  3. Prove
  4. Act

Every screenshot on this site is a capture of the running platform.