Inside the agent
Guidance shapes behaviour
Prompts, model guardrails and application logic help an agent choose what to propose. They remain part of the system being governed and can vary with models, tools and workflows.
Agent action enforcement & policy review
The control room for governed agents
Give agents useful autonomy within clear business boundaries. Keep authority outside the model.
Before a governed action executes, independent policy decides whether it may proceed, must be refused, or requires human approval.
As agents move from suggestions to real actions, teams need verifiable oversight for their risk, policy and governance duties — without rebuilding checks and approval paths inside every workflow. Agent Control Room decouples permission from the model itself: deterministic rules decide what is allowed, what is refused, and what requires human review. Built for any cloud, any agent framework, and every audit trail.
Optionally pair it with the Complyee Policy Library so your written corporate policy can be read into the same decision and hold or refuse work it does not support.
Deterministic decisions action by action
Human review when policy requires it
Single-use signed grants
Optional Policy Library gate
Stack neutral
Example: one refund agent, three answers
The agent proposes every refund. The workspace’s rules decide which ones it may carry out on its own.
Action issue_refund
- Refund up to €50
Allow
Proceeds straight away, without waiting for anyone.
- €50 to €500
Ask a person first
Held until an authorised person approves it.
- Over €500
Refuse
The step does not run, and the agent is told why.
Illustrative amounts. Each workspace writes its own rules.
A separate source of authority
Prompts can guide an agent. They cannot grant authority.
A model should not be its own judge and execution gate. Keep adaptable agent behaviour on one side and enforceable business authority on the other. Where a Complyee Policy Library pairing is enabled, a second independent reading of your written policy sits on the enforcement side too — it can tighten what proceeds, never widen it.
Outside the agent
Policy controls execution
Agent Control Room independently checks the agent, action, declared facts, provenance and policy before work proceeds. Authority stays explicit, external and auditable.
The enforcement path
One proposed action. One enforceable decision.
Each governed step is evaluated on its own merits before the calling application acts.
- 01
Propose
The application names the agent and action, then supplies a payload fingerprint and the facts needed to judge the step.
- 02
Validate and evaluate
The registry, context contract, provenance and ordered policy rules are checked deterministically. Where an action is configured for it, the paired Complyee Policy Library is consulted in the same pass.
- 03
Allow, refuse, or ask a person
A step is allowed or refused by rule unless policy says a person must decide; then execution holds until that person approves it. Incomplete evidence never falls through to permission. A Policy Library gate can only hold or refuse a step your rules already allowed.
- 04
Execute and record
Only a valid signed grant permits the step. The application then reports what it did with that grant, so the record runs from request to reported outcome.
Where responsibility sits
Agent Control Room decides only the actions routed through your enforcement point, using the facts your trusted systems provide. Your system keeps privileged credentials behind that gate, verifies the payload-bound signed grant before it acts, and reports the outcome.
How to build the enforcement pointWhat it brings
More useful autonomy, with authority kept under control.
Let routine work run without waiting for approval and reserve people for the steps that need them. Give teams a common enforcement layer instead of rebuilding critical safeguards inside every agent and application.
Put enforceable policy between intent and execution
Move critical permissions out of prompts and application-specific glue. Apply the same explicit business rules wherever an agent runs.
Give agents bounded freedom without runaway loops
Let agents operate autonomously within clear frequency and timing boundaries, even when several requests arrive together.
Multi-agent delegation and cascade control
Let teams of agents hand work to each other while authority only ever narrows. One misbehaving agent cannot widen its permissions, set off a runaway chain or erase the trail.
See how multi-agent delegation is controlledMake human oversight a control, not a notification
Let routine actions run autonomously and reserve human sign-off for the steps that genuinely warrant it. When policy flags sensitive work, execution holds until an authorised person decides — approval becomes part of enforcement, not an after-the-fact review.
Prove what was permitted without collecting the payload
Reconstruct who asked, what policy answered and why, while documents, prompts, generated content and raw payloads stay in the calling application.
Two independent keys before high-impact work proceeds
Run agents under explicit operational rules, then require a second, independent confirmation from your Complyee Policy Library for the actions that matter most. If your written policy does not support the step, it is held for a person or refused — never quietly allowed.
A shared language for governed work
Define what an action means before deciding who may perform it.
Each workspace declares the actions it answers for and the facts needed to judge them. The vocabulary follows the organisation rather than a vendor’s fixed list.
Declaring or importing an action never grants permission, and neither does a policy-library reading.
Example policy question
Actiontransfer_funds
Declared factamount_sek: 25000 · asserted by core‑banking
Policy answerAsk a person first
Governance that travels
Keep control consistent as the agent stack changes.
Use one governance layer across agent frameworks, custom runtimes, direct HTTPS integrations, API gateways and existing enterprise systems. A single application can connect directly — surrounding platforms are optional, and models and tools can change without moving authority back into application code.
Fits
- Agent frameworks
- Custom runtimes
- Direct HTTPS
- Enterprise systems
- Complyee Policy Library
Built in
- Isolated workspaces
- Single sign-on
- Network allow-lists
- Signed decisions
- Decision history
See how Agent Control Room fits your stack
Governed autonomy
Move agents from advisory tools to trusted actors — without making the model its own authority.
Start with the actions that matter, the facts needed to judge them and the controls your organisation already understands — then let your Complyee Policy Library confirm the steps that carry the most consequence.
Plan a first governed workflow: a test workspace, representative test cases and a recommendation for the rules to run in production.