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Illustrative architecture: Human-in-the-loop AI

Approval Operations Console

A durable operations console turns agent proposals into reviewable work items with evidence, risk routing, expiry, reassignment, and amendment. Execution resumes only after current policy and approval state are rechecked.

Human in the LoopDurable StateRisk RoutingIdempotencyAudit
Approval Operations Console architecture
HumanOperations reviewer
AgentProposal agent
ServiceRisk router and state machine
DataEvidence and approval history
ExternalBusiness system
ApprovalApprove, reject, or amend
Architecture summary

Approval Operations Console system boundary

An agent submits a structured proposal and evidence. A deterministic risk router creates durable review state, the console supports assignment and amendment, and an execution worker revalidates the approved request before acting.

HumanAgentServiceDataExternalApproval
HumanOperations reviewer
AgentProposal agent
ServiceRisk router and state machine
DataEvidence and approval history
ExternalBusiness system
ApprovalApprove, reject, or amend
End-to-end workflow

Approval Operations Console execution path

The proposal enters a risk queue, a reviewer inspects evidence, then approves, rejects, amends, reassigns, or lets it expire. Approved work resumes from stored state and executes once through an idempotent adapter.

Approval Operations Console human and agent interaction
HumanOperations reviewer
AgentProposal agent
ServiceRisk router and state machine
ApprovalApprove, reject, or amend
ExternalBusiness system
DataEvidence and approval history
Context and data flow

Approval Operations Console context movement

Reviewers receive the proposal, source evidence, policy result, requested action, and relevant history. The execution worker receives only the approved payload and current authorization context.

Agent responsibilities and boundaries

Approval Operations Console ownership limits

The agent cannot approve its own proposal or modify a recorded decision. Reviewers cannot bypass execution-time policy checks, and the worker cannot broaden the approved action.

Deterministic controls

Approval Operations Console enforced controls

Risk rules, durable state transitions, assignment, expiry, rejection, amendment, resumption tokens, policy rechecks, idempotency, and audit writes are deterministic.

Security and permissions

Approval Operations Console trust boundaries

Role-aware queues, tenant boundaries, least-privilege execution, evidence access controls, current permission checks, and immutable decision history protect consequential actions.

Scaling and reliability

Approval Operations Console operating model

Queues partition by tenant and risk. Worker pools process approved items independently while backpressure and priority prevent low-risk volume from hiding urgent reviews.

Failure modes and recovery

Approval Operations Console recovery paths

Expired items return to the originator, rejected items stop, amended items receive a new version, failed execution resumes from durable state, and uncertain external outcomes move to reconciliation.

Software testing

Approval Operations Console deterministic test coverage

State-machine tests cover every transition, stale approvals, reassignment, amendment, duplicate events, changed permissions, tool timeouts, and partial execution.

AI evaluation

Approval Operations Console behavior evaluation

Agent checks assess proposal completeness, evidence relevance, risk classification, and appropriate escalation. Deterministic tests remain authoritative for state and authorization.

Observability and AgentOps

Approval Operations Console operational evidence

Operators see queue age, state transitions, reviewer actions, expiry, execution attempts, reconciliation items, and trace links for each proposal.

Deployment model

Approval Operations Console deployment boundaries

The console, approval state store, risk router, execution workers, and audit sink deploy independently so review access does not imply execution access.

Engineering tradeoffs

Approval Operations Console deliberate constraints

Human review slows selected actions but creates accountable control. Low-risk automation remains possible only where policy explicitly permits it.

Evidence position

Approval Operations Console claim boundary

Illustrative workflow architecture only. No client-specific operating result or performance claim is made.

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