June 8, 2026
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Convr® Unveils the Risk Context Engine, Grounding AI Underwriting in a Commercial P&C Knowledge Graph and Ontology
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Convr® Unveils the Risk Context Engine, Grounding AI Underwriting in a Commercial P&C Knowledge Graph and Ontology

CHICAGO (June 9, 2026) – Convr® today unveiled the Convr Risk Context Engine (RCE), the industry's first knowledge graph and semantic ontology built specifically for commercial property and casualty (P&C) underwriting. Calibrated on a decade of production data and more than 2,500 integrated sources, the RCE powers every AI capability across the Convr AI Underwriting Workbench and gives carriers and MGAs the grounded, explainable foundation that agentic and generative AI alone cannot provide.

Carriers, MGAs and brokers are evaluating agentic agents, generative assistants, and large language models at an unprecedented pace. Most of these tools share a critical weakness: they are built on general-purpose foundation models with limited understanding of commercial insurance and not calibrated on real underwriting environments. The result is AI that can be inaccurate, inconsistent, irreplicable, and unexplainable. Underwriters, chief underwriting officers, and regulators cannot accept those qualities in risk decisioning.

The Convr RCE solves that problem. Built and refined since Convr's first founding, the RCE is a commercial P&C knowledge graph and semantic ontology that encodes the language, structures, exposures, classifications, and decision logic of underwriting into a unified, machine-readable model, calibrated against a decade of real submissions, real exposures, and real underwriter feedback from leading carriers in production. Every AI capability in the Convr workbench – from intake to business classification, risk scoring, data enrichment, and workflows, runs on top of the RCE. The result is AI that doesn't just sound right. It is right, and can prove it: every classification, appetite call, and risk-score output traces back through the ontology to the source submission documents, loss data, and underwriter decisions that informed it.

The regulatory direction is reinforcing the value of RCE. The NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers, now adopted in some form by roughly half of US states, requires governance, transparency, and accountability for AI in regulated underwriting decisions, with parallel frameworks in New York, Colorado, and others. Those outcomes are not achievable on top of black-box inference; they require AI grounded in an inspectable knowledge graph and ontology of the underwriting domain. That is exactly what the RCE provides, with every decision traceable to the ontology and source data behind it.

"The industry is having the wrong conversation about AI in underwriting," said John Stammen, Chief Executive Officer of Convr. "Everyone talks about models. The real question is what they're grounded in. Without a commercial P&C knowledge graph and ontology underneath them, generative and agentic AI are confident guessers. The RCE supplies the missing context . . . what a submission means, what an exposure is, what an underwriter decides and turns outputs into decisions a carrier can defend. This is exactly what Convr has been building since 2016."

Availability
The RCE powers all Convr AI Underwriting Workbench deployments today. Carriers, MGAs and brokers interested in learning more can visit convr.com or contact a Convr representative.

Media Contact
Alex Williams
Senior Promotions Manager
alex.williams@convr.com
217-737-2782

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 The Underwriting Eco-system

About Convr

Convr is a modular AI underwriting, data and intelligent document automation workbench grounded in the only P&C-specific Risk Context Engine that delivers consistent, traceable, verifiable risk data, in-line. The result: full lifecycle visibility from submission to renewal, better risk selection, faster decisions, and more profitable accounts across rate, quote, bind workflows.

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

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Convr® Launches Scout to Help Insurers Underwrite Small Commercial Faster with Greater Insights

CHICAGO (September 29, 2026) – Convr®, the leader in AI for commercial insurance, today announced Scout, a new feature within the Convr AI Underwriting Workbench Answers module that helps insurers uncover hard-to-find business data and write small commercial risks faster.

Many small businesses such as landscapers, contractors, food trucks, and other Main Street operations have limited digital footprint. That absence of information has traditionally meant slower reviews, more manual research, and higher uncertainty about whether a business and its exposures are what the submission claims.

“Scout closes the knowledge gap on insureds,from open question to decision-ready,” said Harish Neelamana, Founder,President and Chief Product Officer at Convr. “It's built for insurers writingsmall commercial risk that want to scale without sacrificing the diligence thatcomes with truly knowing the account.”

Scout completes an advanced web search with just a business name and address and dives into the Convr Risk Context Engine’s data lake to glean hard to find risk insights in instances where teams lack the supporting forms and documents needed to assess a small business.

Firmographicand exposure items such as business metrics, hours of operation,classifications, property and locations, liens, licenses and violations andmore are all generated into a single record with commercial insurance context quicklyorganized and ready for review.

“You can’t get this data and delivery just anywhere. The information is generated within a single record with commercial insurance context and ready for quote, instead of data hunting and digging through search engines,” said Eli O’Donohue, Head of Data and AI Underwriting Solutions at Convr. “We’re surfacing hard to find data, determining whether the risk fits appetite, and putting a complete view of the risk in a single view, with real commercial insurance context.”

Brokers,carriers, MGAs/MGUs are already adopting Scout to speed up small commercial underwritingwithout sacrificing the diligence needed to write these accounts confidently.If you too would like to experience Scout within the Convr Answers module, schedule a demo on convr.com,today.

Media Contact
‍Alex Williams
Senior Promotions Manager
alex.williams@convr.com

XX MIN READ

Convr® Launches DocData, Propelling Submission Excellence and Intelligence for Carriers, MGAs, and Brokers

CHICAGO (September 8, 2026) – Convr®, the leading artificial intelligence company serving commercial insurance organizations, has introduced DocData for commercial brokers, carriers, and MGAs to submit their insurance application documents and receive a comprehensive risk summary for each submission in minutes.

DocData summarizes operational characteristics, exposures, loss history, and other essential data from original submission documents, providing organizations with a reliable overview that lets them know of the risk.

"Carriers,MGAs, and brokers share the same interest in perfecting application data whilereducing handling time,” said Harish Neelmana, Founder, President and ChiefProduct Officer at Convr. “Now they can feed submission documents to Convr and geta comprehensive review of the risk in just minutes.”

First-time users receive five submissions at nocost within five days. Users who see value in expanding to higher volumes can upgradeto the full Convr AI Underwriting Workbench with confidence in the returns theywill see.

Media Contact
Alex Williams
Senior Promotions Manager
alex.williams@convr.com

‍

XX MIN READ

LUBA Workers' Comp Goes Live with Convr® to Advance Its Underwriting with AI

CHICAGO (August 18, 2026) – Convr® announced that LUBA Workers' Comp has joined the growing roster of carriers deploying Convr's platform to power AI-driven underwriting. LUBA, a regional workers' compensation carrier headquartered in Baton Rouge, Louisiana, will leverage Convr's modular AI-native underwriting workbench, grounded in the Risk Context Engine to accelerate submission processing, deepen risk insights, and tighten underwriting consistency across its team.

The partnership reflects a shared conviction: that the future of specialty underwriting belongs to carriers that combine deep domain expertise with AI purpose-built specifically for commercial insurance. LUBA brings nearly three decades of workers' compensation expertise across the Southeast; Convr brings the only AI Underwriting Workbench grounded in a proprietary commercial P&C ontology refined over a decade of production data. Together, the two companies are bringing AI-native submission intake, enrichment, classification, and agentic AI decisioning directly into LUBA's underwriting workflow without disrupting the carrier's existing systems or the underwriting discipline that has driven its growth.

Through the partnership LUBA's underwriting team will gain:

  • Submission intake and triage that instantly extracts data from ACORD forms, loss runs, and broker emails, reducing manual processing and accelerating time to quote
  • Enriched risk insights drawn from thousands of data sources, surfaced inline within the submission for faster, confident decisions
  • Greater underwriting consistency through agentic AI workflows, standardized data, and structured decisioning, reducing referral dependency and tightening cycle times
  • A modular deployment that integrates with LUBA's existing technology stack without disruption

All capabilities are grounded in Convr's Risk Context Engine, the only commercial P&C ontology in the industry built and calibrated on a decade of production data.

"LUBA is exactly the kind of specialty carrier the industry should be watching – they’re disciplined, focused, and serious about combining deep expertise with the right technology," said John Stammen, Chief Executive Officer at Convr. "We're proud to partner with LUBA's team and to bring the Risk Context Engine to bear on workers' compensation underwriting across the Gulf South. This is what AI in insurance is supposed to look like: grounded, explainable, and built to make great underwriters even better." ‍

Sapiens Integration
Through the relationship with LUBA, Convr is now also integrated with Sapiens International Corporation, a global leader of AI-centric, SaaS-based insurance software. The connection is designed to give mutual carrier customers a seamless path from submission intake through underwriting decision, powered by Convr's AI and enrichment capabilities and delivered within the Sapiens ecosystem.

Availability
The Convr AI Underwriting Workbench is live and in deployment with LUBA Workers’ Comp. Carriers, MGAs, and program administrators interested in learning more about Convr's platform can visit convr.com or contact a Convr representative.

Media Contacts
Convr
Alex Williams
Senior Promotions Manager
alex.williams@convr.com
217-737-2782

LUBA Workers’ Comp
Jennifer Vaccaro
Vice President, Communications & Public Relations Manager
jvaccaro@lubawc.com
225-389-5822

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