Approval workflows

Approvals are the primary human-in-the-loop mechanism in Rival Enterprise. An approval is a mandatory governance checkpoint: when an agent or workflow reaches a high-consequence action, execution pauses, a structured review request is generated, and the run proceeds only after an authorized person gives an explicit sign-off.

By placing human review at the key risk boundaries, an organization can run automated workflows at scale without ceding control over critical business decisions.

How an approval moves

1. A trigger or event occurs — an agent or workflow reaches a step in its run.

2. The system evaluates risk and policy rules — the action is checked against the organization’s AI policies and thresholds.

3. Low-risk actions execute immediately — no checkpoint, no waiting.

4. High-risk actions pause and route to an approver — the run halts and a structured request, with its context, reaches the person authorized to decide.

5. The decision resolves the run — if approved, the system resumes the action. If rejected, the run terminates.

6. The outcome is logged — the approver’s identity, the timestamp, and the decision are recorded in the audit log.

Routing

For an approval system to work, requests must reach the exact person or group authorized to evaluate them. Intelligent routing prevents review bottlenecks and keeps accountability clear.

• Role-based routing — sends requests to users holding a specific platform role, such as Enterprise Admin or department lead.
• Contextual and team routing — directs approvals to the manager or department lead who owns the asset or the budget line.
• Metadata-driven conditions — evaluates payload attributes such as dollar value, risk score, or data classification to pick the right approver dynamically.

Good routing prevents review fatigue by keeping requests from piling up on a single overloaded administrator.

Escalations and timeouts

Workflows should never stall indefinitely because a reviewer is away. Escalation rules enforce both continuity and authority boundaries.

• Inactivity escalations — if an assigned approver does not respond inside a defined window, the request escalates up the management chain to a secondary approver.
• Authority threshold escalations — if a reviewer determines the action exceeds their financial or operational standing, the system re-routes the request to a higher authority.
• Fallback rules — configurable defaults decide whether an un-reviewed request eventually times out and fails securely, or routes to a central administrative fallback queue.

Types of approval checkpoint

Rival Enterprise structures approval gates across four operational dimensions.

1. Risk-based approvals — friction proportional to impact. Low-risk operations such as drafting internal summaries or reading public records execute automatically. High-risk actions such as sending external customer communications, modifying production code, or altering sensitive records pause for sign-off.
2. Financial approvals — triggered whenever an action commits financial resources or incurs platform cost, with higher management levels required for larger transactions.
3. Departmental and asset approvals — routed to the owning business unit. Publishing a new tool to the internal Marketplace routes to IT; modifying customer CRM pipelines routes to Sales Operations.
4. Data privacy and compliance approvals — intercepts workflows attempting to read, transform, or transmit customer PII or restricted intellectual property to third-party endpoints.

Approval tier matrix

Spend / risk level	Approval type	Target approver	Action on expiry
Tier 1: low risk (under $500)	Fully automated	System (auto-approved)	Executes immediately
Tier 2: medium risk ($500–$4,999)	Departmental review	Department lead / line manager	Escalates to Tier 3 after 24 hours
Tier 3: high risk ($5,000+)	Executive and finance review	Finance director / Enterprise Admin	Cancels the request after 48 hours
Tier 4: PII / restricted data access	Compliance review	Data security / IT admin	Fails securely, blocking data access

Configuring and calibrating approvals

Administrators configure approval rules in the AI Governance section of the Command Center. Setting them up is an exercise in balancing enterprise safety against operational velocity.

• Avoid over-approval — requiring sign-off on low-stakes, routine tasks leads to review fatigue, and fatigued approvers either sign off blindly or route around the system.
• Avoid overly permissive controls — too few checkpoints exposes the business to un-reviewed spend and compliance breaches.
• Focus on real consequences — reserve mandatory gates for actions that spend money, communicate externally, alter system state, or handle sensitive PII.

Calibration is the whole game

Approvals people route around provide no control at all. Put the gates where the consequences are real, and let everything else flow.

A worked example: tiered procurement routing

Consider an automated procurement workflow processing purchase orders.

• $0–$499 — automated execution. The workflow handles the requisition itself and places the order instantly.
• $500–$4,999 — departmental sign-off. Execution pauses and an approval request goes to the requester’s department lead.
• $5,000 and above — executive escalation. The order escalates to Finance Operations leadership for explicit authorization.

One workflow handles thousands of transactions, matching oversight to financial risk without forcing managers to review low-cost items.

Next steps

Guardrails & allowed models Set model restrictions and PII guardrails.

Teams & departments Structure users into the review units approvals route to.

Audit logs Review the recorded history of every approval decision.

Requests The admin queue where approvals actually land.