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Engineering Blog · Post #28

AI-Powered Conflict Resolution: How InsightUW Recommends Actions and Next Steps for Every Clearance Issue

How InsightUW's Clearance AIService generates 15 recommendation templates across 8 categories — with per-issue actions, confidence scores, risk levels, and 5-8 ordered next steps — turning clearance from a bottleneck into a guided workflow.


The Problem

Corporate clearance produces issues. A sanctions near-match, a capacity overage, a broker with an expired appointment — each issue lands on the underwriter's desk as a problem to solve. But the issue itself is only half the story. The harder question is: what do I do about it?

Most platforms stop at detection. They flag the issue and leave the underwriter to figure out the response. Should this be escalated? To whom? What documentation is needed? Is this a hard stop or can I proceed with conditions? The answers depend on institutional knowledge that lives in the heads of senior underwriters and compliance officers — knowledge that is not available to a junior analyst at 6 PM on a Friday when a rush submission needs clearance.

The gap between "issue detected" and "issue resolved" is where submissions stall, decisions get delayed, and carriers lose placements to faster competitors.

The InsightUW Approach

InsightUW's Clearance AIService does not just detect issues — it recommends what to do about each one. For every clearance issue, the AI generates a structured recommendation: an action (proceed, escalate, investigate, merge, or decline), a narrative explanation, a confidence score, a risk level, and 5-8 ordered next steps specific to the issue type.

graph TD subgraph Issues["Clearance Issues Detected"] A["Issue 1: Sanctions near-match<br/>Sanc-003, severity: critical"] B["Issue 2: Broker conflict<br/>BRK-001, severity: high"] C["Issue 3: Capacity warning<br/>CAP-001, severity: medium"] end subgraph AI["Clearance AIService"] D["Select Template<br/>from 15 templates<br/>across 8 categories"] E["Generate Recommendation<br/>action + narrative +<br/>confidence + risk"] F["Build Next Steps<br/>5-8 ordered steps<br/>per issue"] end subgraph Per Issue["Per-Issue Output"] G["🔍 Issue 1: Investigate<br/>Confidence: 82%<br/>Risk: high<br/>5 next steps"] H["⬆️ Issue 2: Escalate<br/>Confidence: 91%<br/>Risk: high<br/>8 next steps"] I["✅ Issue 3: Proceed<br/>Confidence: 88%<br/>Risk: medium<br/>6 next steps"] end subgraph Overall["Overall AI Summary"] J["Overall Risk: High<br/>3 issues found<br/>1 critical, 1 high, 1 medium"] K["AI Clearance Summary:<br/>Submission requires investigation<br/>of sanctions match before<br/>proceeding. Broker conflict<br/>needs senior review."] end A --> D B --> D C --> D D --> E E --> F F --> G F --> H F --> I G --> J H --> J I --> J J --> K

The 5 Recommended Actions

Every clearance issue receives one of five recommended actions:

Action Meaning Typical Trigger
proceed Issue is informational or low-risk; safe to continue Capacity utilization under 90%, advisory-only rules
escalate Issue requires review by a more senior role Broker conflicts, authority-level questions
investigate More information needed before a decision Sanctions near-match, unverified data
merge Duplicate submission detected; merge with existing Same insured, overlapping coverage
decline Issue is severe enough to recommend declining Confirmed sanctions match, moratorium in effect

15 Recommendation Templates Across 8 Categories

The AI service maintains specialized templates organized by issue category:

Category Templates Actions Covered
sanctions_match 3 investigate, escalate, decline
duplicate_submission 2 merge, investigate
broker_conflict 2 escalate, investigate
capacity_breach 2 escalate, proceed
territory_restriction 2 decline, escalate
lob_moratorium 1 decline
large_limit 1 escalate
compliance_gap 2 investigate, escalate

Each template includes the action, a narrative pattern, a base confidence score, a risk level, and a set of next steps. The AI contextualizes these with submission-specific data — insured name, LOB, limit, broker, and the specific rule that fired.

Per-Issue Recommendation Structure

Every issue recommendation contains:

Field Description Example
action Recommended action escalate
narrative Human-readable explanation "Broker Pinnacle Risk is not currently appointed. Submission should be escalated to senior underwriter to verify broker relationship and determine if temporary binding authority is appropriate."
confidence AI confidence in recommendation (0-100%) 91
risk level low / medium / high / critical high
next steps Ordered list of 5-8 specific actions See below

Next Steps: The Actionable Difference

The next steps are what transform a clearance issue from "problem" to "guided resolution." Each issue receives 5-8 ordered steps tailored to the issue type and severity:

Example — Broker Conflict (BRK-001): (1) Verify broker appointment status, (2) Check for Broker of Record letter, (3) Contact broker to confirm licensing, (4) Review outstanding balance, (5) Check if insured has existing policy with another broker, (6) Escalate to branch manager if conflict confirmed, (7) Document resolution in clearance notes, (8) Obtain signed BOR letter before binding.

Example — Sanctions Near-Match (SANC-003): (1) Obtain full legal name and DOB of matched individual, (2) Compare against sanctions entry details, (3) Check submission documents for additional identifiers, (4) If confirmed different, document rationale, (5) If unresolvable, escalate to compliance officer.

Overall AI Clearance Summary

Beyond per-issue recommendations, the AI generates an overall clearance summary that aggregates all issues into a single risk assessment:

Field Description
overall risk Highest risk level across all issues
issue count Total issues by severity
summary narrative 2-3 sentence overview of clearance status
recommended path The dominant action across all issues
estimated resolution Projected time/effort to resolve all issues

Smart Action Buttons

The InsightUW UI renders the AI recommendation as smart action buttons on the clearance panel. The AI-recommended action is visually highlighted — a green primary button for "proceed," an orange button for "escalate," a blue button for "investigate." The underwriter sees the recommended path at a glance and can either follow the AI suggestion or choose an alternative action.

Button State Visual Meaning
AI-recommended Filled, primary color This is what the AI suggests
Available Outlined, secondary color Valid but not AI-recommended
Disabled Greyed out Not applicable for this issue

Cyber Submission: Broker Conflict with AI-Recommended Escalation

Scenario: A Cyber submission arrives for DataVault Systems, a cloud storage provider requesting $10M in cyber liability coverage. The submission is from Pinnacle Risk Partners, a broker that currently has a suspended appointment due to overdue balances.

Rule BRK-001 fires:

Field Value
Rule BRK-001: Broker appointment verification
Broker Pinnacle Risk Partners
Status Suspended — overdue balance of $87,000
Severity high

AI Recommendation:

Field Value
Action escalate
Confidence 91%
Risk Level high
Narrative "Broker Pinnacle Risk Partners has a suspended appointment due to an overdue balance of $87,000. This submission cannot proceed through standard clearance until the broker's standing is resolved. Escalate to senior underwriter or branch manager to determine if the broker relationship warrants an exception or if the submission should be redirected."

AI Next Steps (8 steps):

Step Action
1 Verify the current overdue balance amount with accounts receivable
2 Check if a Broker of Record (BOR) letter exists from another broker for this account
3 Determine if the insured has been notified of the broker's suspended status
4 Contact Pinnacle Risk Partners regarding the overdue balance and timeline for resolution
5 Escalate to branch manager with broker history and current submission details
6 If exception granted, document the approval and conditions in clearance notes
7 If no exception, contact the insured to discuss alternative broker options
8 Set a 30-day follow-up to verify broker balance resolution regardless of outcome

Smart action buttons on the UI:

Button State Color
Escalate AI-Recommended Orange, filled
Investigate Available Blue, outlined
Proceed Disabled Grey
Decline Available Red, outlined

The underwriter clicks "Escalate" and the system routes the submission to the next authorized role in the clearance hierarchy.

What This Means for Underwriters

  1. Guided decision-making — every clearance issue comes with a recommended action and ordered next steps, not just a red flag.
  2. Consistent responses — whether handled by a junior analyst or a senior underwriter, the AI ensures the same issue gets the same quality of response guidance.
  3. Faster resolution — underwriters spend less time figuring out what to do and more time doing it. The 5-8 next steps are a ready-made checklist.
  4. Confidence transparency — the AI's confidence score helps underwriters calibrate their trust. A 95% confidence "proceed" is different from a 62% confidence "investigate."
  5. Institutional knowledge at scale — the 15 templates encode the best practices of senior underwriters and compliance officers, available to every user on every submission.

What's Next

In the next post, we will explore Territory Restrictions, Aggregate Capacity, and Broker Standing — the hidden clearance checks that most platforms miss, and how InsightUW enforces them automatically with configurable thresholds.


InsightUW is an AI-powered underwriting workstation for P&C carriers. Request a demo to see AI-powered clearance recommendations in action.

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