Enterprise Use Cases

Runtime Governance and Execution Control Plane for AI Systems

RIO governs any consequential action taken by AI agents, automated workflows, or software systems on behalf of humans. Each use case follows the same governed execution pipeline.

Invoice Payment Approval

Finance, Accounts Payable

An AI agent integrated with the accounts payable system identifies an invoice due for payment and submits a transfer_funds request to RIO for a $48,250 wire transfer to a vendor.

Intake:Request received with user_id: ai_agent_ap, action: transfer_funds, amount: $48,250.
Classification:Classified as transfer_funds with risk category HIGH (financial action above $10,000).
Policy:Rule RULE-003 matches: Transfers over $10,000 require manager or admin approval. Decision: REQUIRE_APPROVAL.
Risk:Risk score: base(5) + role(2) + amount(3) = 10. Risk level: HIGH.
Authorization:Escalated to approval queue. CFO reviews full context — who, what, how much, why — and approves. Token issued.
Execution:Token verified, nonce consumed, kill switch clear. HTTP adapter calls payment gateway.
Receipt + Ledger:Signed receipt generated. Hash-linked ledger entry appended.
Governance Value

Without RIO, the AI agent would have initiated a $48,250 wire transfer with no human review, no audit trail, and no proof of authorization.

Data Deletion (GDPR Compliance)

Technology, Data Management

A data management system receives a GDPR right to erasure request. An automated workflow submits a delete_data request to permanently remove a customer's personal data from the production database.

Intake:Request received: action: delete_data, target: customer_db, scope: user_id=12345, reason: GDPR erasure.
Classification:Classified as delete_data with risk category HIGH (irreversible data operation).
Policy:Rule matches: Data deletion requires admin approval. Decision: REQUIRE_APPROVAL.
Risk:Risk score: base(6) + role(1) + target(3) = 10. Risk level: HIGH.
Authorization:Data protection officer reviews the request, confirms GDPR basis, approves.
Execution:File adapter executes database deletion with confirmed parameters.
Receipt + Ledger:Receipt serves as proof of compliant data deletion for GDPR audit.
Governance Value

The receipt provides legally defensible proof that the deletion was authorized by a qualified individual, followed a governed process, and was recorded in a tamper-evident ledger.

Production Deployment Approval

Software Engineering, DevOps

A CI/CD pipeline completes a build and submits a deploy_code request to push a new release to the production environment. The deployment affects customer-facing services.

Intake:Request received: action: deploy_code, target: production, version: v2.4.1, services: 3.
Classification:Classified as deploy_code with risk category CRITICAL (production infrastructure).
Policy:Rule matches: Production deployments require admin approval during business hours. Decision: REQUIRE_APPROVAL.
Risk:Risk score: base(7) + role(1) + target(4) = 12. Risk level: CRITICAL.
Authorization:VP of Engineering reviews deployment scope, test results, and rollback plan. Approves with conditions.
Execution:HTTP adapter triggers deployment pipeline with verified parameters.
Receipt + Ledger:Receipt records exactly what was deployed, by whom, and who authorized it.
Governance Value

If the deployment causes an incident, the receipt and ledger provide a complete chain of accountability: what was deployed, who authorized it, what risk score it carried, and when it happened.

Access Provisioning

IT, Identity Management

An onboarding automation system submits a grant_access request to provision a new employee with access to internal systems, including source code repositories and production monitoring.

Intake:Request received: action: grant_access, target_user: new_hire_42, systems: [repo, monitoring, wiki].
Classification:Classified as grant_access with risk category MEDIUM (identity change).
Policy:Rule matches: Access grants to production systems require manager approval. Decision: REQUIRE_APPROVAL.
Risk:Risk score: base(4) + role(1) + target(2) = 7. Risk level: MEDIUM.
Authorization:Hiring manager reviews the access request, confirms role requirements, approves.
Execution:HTTP adapter provisions access across all specified systems.
Receipt + Ledger:Receipt records the exact permissions granted and who authorized them.
Governance Value

Every access grant is traceable. During security audits, the organization can prove exactly who authorized each access grant, when, and under what policy.

Agent-to-Agent Governance

AI Operations, Multi-Agent Systems

An orchestrator AI agent delegates a task to a specialist agent. The specialist agent needs to send an email to a customer. Instead of acting directly, it submits the request through RIO.

Intake:Request received: user_id: specialist_agent_7, action: send_email, delegated_by: orchestrator_agent_1.
Classification:Classified as send_email with risk category MEDIUM (external communication by AI).
Policy:Rule matches: AI-initiated external communications require human approval. Decision: REQUIRE_APPROVAL.
Risk:Risk score: base(3) + role(2) + delegation_chain(2) = 7. Risk level: MEDIUM.
Authorization:Human supervisor reviews the email content, recipient, and delegation chain. Approves.
Execution:Email adapter sends the message with verified content.
Receipt + Ledger:Receipt records the full delegation chain: which agent requested, which agent delegated, and which human approved.
Governance Value

In multi-agent systems, RIO ensures that no agent — regardless of how many layers of delegation exist — can take a consequential action without human authorization and a complete audit trail.

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