AI Features Guide

Policy Comparison Strategies

Use structured data comparisons to control E&O risk and identify premium changes before recommendations go to insureds.

Open Policy Comparison Feature How It Works Back to Guides

How It Works

Prudens turns quote analysis into a repeatable operating process instead of a one-off manual review.

01

Ingest quote sources

Load carrier quote files, proposal artifacts, and supporting documents into one comparison workspace.

02

Normalize to structured fields

Extract limits, deductibles, exclusions, endorsements, and premium values into a common schema.

03

Run comparison logic

Evaluate like-for-like terms, highlight missing coverage, and score variance between options.

04

Apply risk and premium controls

Trigger E&O checks and premium movement alerts based on your operating thresholds.

05

Publish recommendation output

Store rationale, communicate tradeoffs, and pass approved outcomes to proposal and submission workflows.

Feature Capabilities That Matter in Production

Designed for agency operations where consistency and defensibility are required, not optional.

Structured side-by-side analysis

  • Every quote is normalized into the same field model for fair comparisons.
  • Limits, exclusions, deductibles, and endorsements become machine-readable.
  • Reviewers compare like-for-like instead of interpreting mixed document formats.

E&O control framework

  • Flag materially different terms before producer recommendation.
  • Require explicit acknowledgment for excluded or reduced coverages.
  • Store comparison history and rationale for audit and compliance defensibility.

Premium movement intelligence

  • Track premium deltas at quote level and component level.
  • Detect unusual increases relative to prior period or target bands.
  • Route high-impact movements to review queues before client delivery.

Audit-ready decision trails

  • Capture recommendation logic and final selection reason for every comparison.
  • Preserve source document links and extracted field lineage.
  • Support management review and QA calibration over time.

The Structured Data Layer

Standardization is the core advantage: comparison quality improves when every quote uses the same schema.

Data Domain Examples Why It Matters Operational Outcome
Coverage Terms Limits, sublimits, deductibles, triggers Creates apples-to-apples analysis across carriers Lower recommendation inconsistency
Exclusions and Endorsements Coverage carve-outs, special conditions, attached forms Exposes hidden risk differences that impact insured outcomes Reduced E&O exposure
Premium Components Base premium, fees, taxes, optional charges Separates total premium movement into explainable components Proactive pricing communication
Carrier Metadata Submission requirements, appetite indicators, notes Connects comparison output to next-step workflow readiness Faster proposal and submission handoff
Decision Evidence Recommendation rationale, reviewer notes, approvals Makes every decision traceable for QA and compliance Audit-ready operating record

How To Use This In Your Team Workflow

Use this runbook to operationalize comparison quality in 30 days.

Step-by-step usage

  1. Create a comparison record and save it before analysis starts.
  2. Upload all carrier quote documents and required supporting resources.
  3. Validate extracted structured fields for critical policy terms.
  4. Review differences in limits, exclusions, endorsements, and pricing.
  5. Resolve alerts for E&O and premium movement exceptions.
  6. Approve recommendation rationale and publish to proposal workflow.

Team operating rules

  • Assign one workflow owner per comparison to prevent split accountability.
  • Require a second review when premium change exceeds target thresholds.
  • Do not send proposals until unresolved comparison alerts are cleared.
  • Publish weekly QA summaries of mismatch, override, and exception patterns.
  • Continuously refine extraction and mapping rules from real-world quote variance.

Recommended KPI targets

Comparison cycle time Reduce by 40% while preserving review quality
First-pass recommendation quality Reach 90%+ without rework loops
Unexplained premium deltas Drive to near-zero with component-level visibility
E&O exception closure Resolve 100% of flagged high-risk comparisons before delivery

Run comparison as a controlled system, not a manual task

Use structured data, enforce quality gates, and move approved outcomes into proposal and submission workflows with confidence.

Open Policy Comparison Feature