Risk 360

The commercial P&C data lake – comprised of the ​digital footprint of millions of businesses – powering every submission.

How Risk 360 Works

Enable More Efficient and Accurate Underwriting

Enrich submissions from thousands of private and public data sources. Risk 360 runs at intake, not as a separate manual step. Your speed to quote improves because the enrichment is part of the workflow, not a delay added to it.

How It Works

Enable More Efficient and Accurate Underwriting

Enrich submissions from thousands of private and public data sources.

Fills in the Gaps

Submissions are enriched from the Risk 360’s data lake - firmographics, inspections, violations, licenses, permits, news, and social media - covering millions of commercial businesses.

Validate Through the Knowledge Graph

Convr knowledge graph connects across thousands of data elements - surfacing relationships, conflicts, and signals - no single data source can reveal on its own.

Deliver Structured, Scored Insights

Enriched data flows directly into the underwriting workbench - pre-scored, schema-mapped, and ready for the underwriter to act on. No external lookups, no separate logins, no manual reconciliation.

Bring Your Own Data

Risk 360 lets you bring it in - historical loss data, custom rating factors, proprietary risk indicators - and combine it with Convr’s enrichment in a single underwriting view to gain a more holistic applicant view and build more confidence in risk selection.

Enable More Efficient and Accurate Underwriting

Bring a real submission to your demo and we'll enrich it with Risk 360 Live.

Transform Your Business Today

Increase Efficiency by 130%

“With Convr, we now start reviewing most submissions the same day we receive it. We can do this without the need for quality checks on our end because we know Convr has taken care of it.”

VP of Underwriting · Tangram
The Convr AI Underwriting Workbench

Every Tool Your Underwriting Team Needs

Convr's modular workbench covers the full submission lifecycle from intake and enrichment to scoring, decisioning, and portfolio analysis, so underwriters work faster, smarter, and with more confidence at every step.

Scores

Know Which Risks Are

risk 360

A Complete Picture of
Every Risk

convr ai

Improve Productivity with  
Speed and Confidence

Resources

News and Insights

Insights, announcements, and trends shaping the commercial P&C insurance industry.

News

Convr® Strengthens Customer Experience Team with New Vice President Hire

CHICAGO (April 28, 2026) – Convr®, the leading artificial intelligence (AI) company serving commercial insurance organizations with its modular underwriting workbench announces the hiring of Jason Allen as Vice President, Customer Experience.

In this role, Allen will lead Convr’s Customer Success Services and Customer Support teams, driving strong adoption, support and advocacy across Convr’s customer base. With a strong strategic focus, Allen will further strengthen the bridge between Convr’s cutting-edge AI technology and customer requirements for the Convr Underwriting Workbench. He will partner closely with Business Development, Product and Executive Leadership to align roadmap, go-to-market strategy and customer feedback.

Allen has extensive experience driving business value with AI-powered operating systems that improve efficiency, as well as a proven track record of client success driving accelerated time-to-value. Most recently, he served as Senior Vice President, Global Customer Experience, for Aprimo, the enterprise Marketing Technology organization serving regulated and non-regulated industries. For nearly 10years with increasingly responsible roles, Allen delivered an end-to-end customer lifecycle operating model spanning onboarding, adoption, renewals and expansion, focused on customer efficiency with executional discipline for improved customer outcomes and engagement.

Prior to his time at Aprimo, Allen served as Vice President of Professional Services and Solutions Sales at Teradata. Earlier in his career, he served as a managing consultant at Ernst and Young/James Martin and Company focused on operational excellence.

Jason’s expertise in enterprise AI SaaS systems, automation, and program implementation will help Convr’s clients more readily achieve and demonstrate industry-leading growth and efficiency.

Allen has an Master of Business Administration from The University of Chicago Booth School of Business and a Bachelor of Science degree from Indiana University’s Kelley School of Business. He and his family live in Indiana.

Look for him soon at online and in-person events demonstrating his strong commitment to customer success at Convr. Learn more about Convr at convr.com.

News

A Decade of Innovation: Convr Celebrates 10 Years as the Top Underwriting Workbench

CHICAGO (April 7, 2025) – Convr®, the leading artificial intelligence (AI) company serving commercial insurance organizations hit a critical milestone this month: 10-years of transforming the commercial property and casualty (P&C) insurance industry with AI and data.\n“The Convr AI Underwriting Workbench powered by a commercial P&C Risk Context Engine and proprietary ontology continues to lead innovation in the commercial insurance underwriting space, unlocking insights and performance improvements that drive customer success,” said Harish Neelamana, Founder, President and CPO at Convr.\nFounded by underwriters, for underwriters in 2016, Convr is commemorating a decade of advancements in the commercial insurance world, backed by a decade of trusted partnerships with many of the top commercial insurers such as Ohio Mutual Insurance Group, WCF Insurance, Western National Insurance among others who have realized measurable successes, including:

  1. 130% increase in efficiency
  2. 70% reduction in submission through quote times
  3. 30% increase in win rate for new business underwriting
  4. Quote turnaround times reduced to 1-2 days
  5. 10x increase in productivity

In addition, Convr customers across the board have experienced reduced customer IT spend, quicker identification of material changes within renewals, and increased number of submissions processed daily. \n“The Convr AI Underwriting Workbench is the most advanced and visionary platform available today,” said Gary Johnson, Vice President of Commercial Lines for Ohio Mutual Insurance Group. “Our underwriters are eagerly anticipating the workflow, accuracy, and service advantages that we’ll realize once we have this key tool at our disposal.”\nEven more, over the course of the past decade, The Convr AI Underwriting Workbench surfaced some 120 billion risk exposures and added 17 billion data points to the Risk 360 data lake as well as released hundreds of enhancements to Convr users. As a leading AI-powered commercial insurance data-driven underwriting workbench, Convr is proud to mark these wins as a reflection of ingenuity, innovation and customer success.\nConvr has an unparalleled passion for commercial insurance underwriting and we’re certain our customers will continue to see benefits well beyond our tenth anniversary. You can schedule a demo and explore how Convr’s AI Underwriting Workbench can transform your commercial underwriting performance, efficiency and profitability.

Blog

Convr Accelerates MGA Growth

From Intake automation efficiency to data modeling for hidden insights, Convr is helping Managing General Agents (MGAs) turn fragmented submission documents into structured, enriched data – accelerating clearance, rating, and quote times to unleash profitable growth.

Everyone knows the best models win at taming documents!\nOur Intake module ingests and enriches data from both structured and unstructured documents including PDFs, Excel and emails across commercial property and casualty (P&C) insurance asset types, including ACORDs, Inspection Forms, SOVs, Loss Runs, Schedules, and more.

Powered by Convr AI and the Risk Context Engine – a purpose-built commercial insurance ontology, knowledge graph, and semantic layer that powers a multi-line schema – transforming fragmented submissions into structured, decision-ready intelligence. By grounding every document, application and data source into a consistent schema, Convr Intake ensures contextually complete, consistent, and reliable data from the start. The result is faster processing, fewer manual touchpoints, and improved risk clarity for accelerated MGA Growth.

Through Risk 360 – a commercial insurance data lake comprised of the digital footprints of millions of businesses – Convr standardizes addresses, performs geo-coding, enriches submissions with CAT modeling codes, and adds property intelligence data such as distance to coast and other hazard indicators. The enrichment delivers a holistic decision-ready view of risk prepared for underwriting, rating, and carrier reporting.

By eliminating re-keying and reducing back-and-forth data gathering, submissions are ready to quote in less than 10 minutes! This is how our MGA customers underwrite smarter and faster to unlock substantial written-premium growth without adding to headcount.

If you’re exploring ways to scale faster with AI, better data and meaningful operational efficiency, Convr welcomes the opportunity to share how leading MGAs are using Convr today.\nJust reach out to Convr today to see how we can help!

Frequently Asked Questions

Find quick answers to common questions about our platform, capabilities, and implementation.

What document types and intake channels does the Intake solution support?

Convr Intake AI supports ingestion of structured and unstructured insurance documents, including ACORD forms, broker emails, Statements of Values (SOV), loss runs, supplemental applications, and broker‑provided forms. Submissions can be received via UI, email, SFTP, or API, and are stored in a centralized digital document library for ongoing use across the underwriting lifecycle.

How does Intake use AI to extract, classify, and standardize submission data?

Convr Intake AI uses Intelligent Document Processing (IDP) with machine learning to split, classify, and extract data from incoming documents and normalize the results into a standardized submission schema, regardless of document format. Extraction confidence scoring is applied to assess input quality and guide review.

How does the platform handle low‑confidence extractions and human review?

The Intake workbench includes Human‑in‑the‑Loop (HITL) capabilities that allow underwriters or operations teams to review, validate, and correct extracted data in‑line. Feedback is captured to improve model performance over time while preserving audibility and workflow continuity.

How does Intake support clearance, triage, and prioritization of submissions?

Convr Intake supports clearance, duplication detection, fitness rules, and submission labeling. Submissions move through configurable workflow stages such as clearance, triage/prioritization, enrichment, loss analysis, and rating preparation, enabling faster routing and reduced manual effort.

How is intake data governed, stored, and made available downstream?

All extracted and enriched intake data is stored as part of a structured submission schema, persisted in Convr’s platform and made available via UI, Excel views, and open APIs. Intake outputs feed downstream underwriting, rating, quote, and bind workflows while supporting traceability, audit requirements, and integration with policy administration systems.

Explore Our Resources

Turn knowledge into action with resources built for smarter, faster underwriting.