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Convr (AI Underwriting Workbench)

by Convr

AI Application
Low Confidence

Convr AI Underwriting Workbench is an AI-native platform for commercial property & casualty (P&C) insurance underwriting and submission intake. It digitizes and fuses incoming insurance submissions with external data sources to surface underwriting insights, business classification, and risk scores. Modules span the full submission lifecycle: Intake (intelligent document processing that ingests, splits, classifies and extracts data from structured and unstructured documents), Workflow (collaboration and triage), Risk 360 (real-time risk view from all data sources), d3 Desk (centralized underwriting decision workspace), Answers (instant retrieval of underwriting answers), Scores (AI-driven risk scoring to prioritize submissions), Risk Context Engine/RCE (full risk context driven by a P&C ontology/knowledge graph), Insights (book-of-business trend analysis) and Convr AI (agent-driven AI). Intended users include commercial P&C carriers, MGAs/MGUs, brokers and agents, and underwriters/operations/data teams. Use cases include submission intake and triage, duplication detection, enrichment, loss analysis, rating preparation, risk selection, and small commercial underwriting (e.g., Scout).

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Transparency Score

Weighted across four pillars · updated October 10, 2026

Overall grade
13% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Document Data Extraction
Document Classification
Workflow Automation
Risk Assessment
Data Enrichment
Recommendation Engine
Predictive Analytics
Knowledge Graph

Vendor Information

Complete information about the vendor/provider of this AI application

ConvrView all products →
Convr
Contact Information
convr.com
info@convr.com
Registered Address
475 N Martingale Rd, Suite 820, Schaumburg, IL, 60173, US

EU AI Act Provider Information

Verification Status:
Unverified
Convr
475 N Martingale Rd, Suite 820, Schaumburg, IL, 60173, US
info@convr.com

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

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Added: October 10, 2026
Updated: October 10, 2026

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