Find the risk. Route the file. Brief the expert.

Why it matters

Most platforms treat risk detection and risk routing as separate problems, even with AI risk management as part of the workflow. AI surfaces issues. Then a person reads the report. Then they decide who should handle each issue. Then they reach out. Then they wait. By the time the right specialist is looking at the right component, hours or days have passed, and the project is stalled.

The cost of that gap is significant. Specialist reviewers get pulled into review threads they should not have been in. Critical issues sit in queues waiting for triage. Project managers spend their day brokering routing decisions that should have happened automatically. Compliance throughput slows.

AI-Powered Risk Assessment closes the gap. The same Agent that finds the risk also classifies it. The same workflow that orchestrates review also handles the routing. The triage step is removed because the platform itself does it for a streamlined AI compliance solution.

The risk assessment layer

AI Agents in Aproove return findings as structured data, not just narrative text.

Tags carry the classification:

• Severity: high, medium, low (or your own scale, configurable per Agent).
• Category: regulatory, brand, claim, language, disclosure, banned content, or any custom category your team defines.

Notes carry the substance:

• The specific issue identified.
• The component it was found in (paragraph, image, page, region).
• The Agent's suggested resolution.
• The reference material the finding was based on, where applicable.

Because Tags are structured metadata rather than narrative, the workflow engine can read them and act on them. A Note that says "this disclosure is missing the required language for this jurisdiction" carries a tag like {severity: high, category: regulatory, jurisdiction: US-CA}, and that metadata is what the routing logic uses.

Different Agents can apply different taxonomies. A regulatory Agent might tag by jurisdiction and disclosure type. A brand Agent might tag by brand element (color, typography, logo, voice) and severity. The taxonomies are designed by your administrators and tuned during Agent configuration.

The routing layer

Once Tags are on the file, the workflow engine can route based on them. Routing happens through Aproove's Decision-Based Workflow framework:

• Conditional triggers. Workflow Actions can be configured to fire only when specific Tag conditions are met. Trigger metadata evaluation reads Tag severity, category, and any other configured metadata before deciding whether to act.
• Step-level routing. A workflow step can have multiple decision branches, with the branch chosen based on what the Agent found. High-severity regulatory tags route to legal. Medium-severity brand tags route to brand governance. Clean files (no high-severity tags) move directly to standard review.
• Component-level routing. When risk is flagged on specific components, those components can route independently. A regulatory specialist sees only the pages with regulatory tags. A brand specialist sees only the components with brand tags. Other reviewers continue with the rest of the file in parallel.
• Conflict-driven escalation. If multiple Agents disagree on a finding, or if Agent findings conflict with human review notes, the workflow can route to a Conflict Manager for resolution.
• Time-based escalation. If a flagged item is not addressed within a configured time window, it can escalate automatically.

What a stakeholder receives

When a file (or component) routes to a stakeholder, what they receive matters as much as the routing itself.

For a routed stakeholder, the inbound task arrives with:

• The specific component(s) that triggered the routing. Not the whole file, unless the routing was file-level. If only three pages of a 300-page document routed to the regulatory team, those three pages are what the regulatory reviewer is asked to look at.
• The Agent's findings as structured Tags and Notes. Severity, category, specific issue, suggested resolution. All visible in the proof at the component level.
• Context from prior reviewers. Any Notes added by upstream reviewers stay attached to the file and remain visible.
• A clear next action. The task arrives with the decision they need to make: confirm the Agent's flag, override it, address it, escalate it.
• Their permitted scope. The stakeholder sees only what their permissions allow. Sensitive components flagged for legal-only review are not visible to other stakeholders.

The stakeholder is not handed a 300-page PDF and told "find the regulatory issues." They are handed the specific issues, with the AI's analysis, and asked to decide.

Configuring risk routing

Three patterns customers commonly use:

Severity-based routing. Map severity levels to reviewer tiers. High-severity findings route to senior specialists. Medium-severity to mid-tier reviewers. Low-severity to standard review or auto-resolution. Simple, scalable, suitable for high-volume operations.

Category-based routing. Map categories to functional teams. Regulatory tags route to legal. Brand tags to brand governance. Claim tags to medical or scientific affairs. Language tags to copy editors. Each team sees only what is theirs.

Combined routing. The most sophisticated configurations combine both axes. A high-severity regulatory tag goes to legal. A low-severity regulatory tag goes to compliance ops for cleanup. A high-severity brand tag goes to the brand director. A low-severity brand tag goes to a brand reviewer. The workflow handles the matrix.

In all cases, routing rules are defined once at the workflow configuration level and apply to every project that uses that workflow.

Benefits

• Risk goes to the right person automatically. No manual triage. No project manager brokering routing decisions. The platform reads the Tags and acts.
• Specialists see only what is theirs. Component-level routing means a regulatory reviewer reviews regulatory issues, not the rest of the file.
• Stakeholders enter briefed. Routed work arrives with the Agent's analysis, the suggested resolution, and the specific component highlighted.
• Severity and category drive the workflow. Risk classification is metadata the workflow can act on, not narrative a human has to read.
• Multiple stakeholder paths run in parallel. A 300-page document with regulatory, brand, and legal tags can route those tags to three different teams simultaneously, instead of serializing them.
• Configurable per workflow. Different projects can use different routing maps. A regulated pharma campaign and an OTC consumer campaign can use the same Agents with different routing rules.‍
• The audit trail captures the routing. Every routing decision (who got which file, what triggered the routing, when) lands in the audit trail alongside the findings and decisions.

Who it's for

• Compliance and regulatory operations leaders managing review throughput across multiple specialist functions.
• Project managers running review programs that involve legal, brand, regulatory, and operational reviewers, who currently spend significant time triaging and assigning.
• Specialist reviewers (legal, regulatory, senior brand) whose time is best protected for the work that requires their expertise.‍
• Operations and platform teams building workflow templates that scale across products, brands, or business units.

Under the hood

AI-Powered Risk Assessment combines Aproove's AI Agent framework with the Decision-Based Workflow engine. AI Agents return findings as structured Tags (severity, category, custom metadata fields) and Notes (component-bound, with attribution and timestamps), written back to the proof at the component level. Workflow Actions can read Tag metadata through trigger metadata evaluation, gating execution on specific Tag conditions. Routing is implemented through Aproove's standard workflow primitives: Step Groups, Step Guests (assignees), Decision Buttons, and conditional routing rules. Components flagged with specific Tags can be routed independently of the parent file through component-level permissions and partial-file task assignments. Multi-stakeholder routing supports parallel execution where Step Groups operate concurrently. Decision conflicts trigger Conflict Manager escalation. Time-based escalation supports SLA enforcement on flagged items. Every routing event (trigger fire, assignment, response, escalation) is recorded in the project audit trail alongside the Agent findings that initiated it. The mapping of Tags to routing destinations is configured at the workflow template level and inherited by all projects using that workflow.