March 17, 2026
CASE STUDY
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Convr AI Powers Underwriters with Actionable Insights, Faster

Convr, the leading AI underwriting workbench provider for commercial insurance, equips underwriters with an AI Assistant within its Convr Underwriting Workbench.

CHICAGO (March 17, 2026) – As the leader in artificial intelligence (AI) for commercial insurance, Convr® equips customers with a conversational AI assistant embedded directly into the underwriting workbench.

The Generative AI approach supports underwriting analysis by helping teams dig deeper into submission data and uncover actionable insights. Those insights can then be acted upon immediately — informing changes, updating the submission, creating tasks, or taking other necessary steps — so underwriters can move forward efficiently.

Purpose-built on the Convr Context Engine — comprised of a commercial insurance ontology, knowledge graph, and semantic layer that powers a multi-line schema — this unique foundation enables the Generative AI to deliver high-performing interactions out of the box with minimal model dependencies showing a holistic view of the risk with ease and confidence.

How Convr AI works

The Generative AI module lets underwriting teams discuss submissions interactively and complete action steps directly within the submission. The AI-powered assistant reviews both the data in a submission and relevant public data available to Convr. It then creates a summary with key observations for the underwriting team, and complete the remaining steps needed to finalize the submission.

The technology is designed to enhance underwriting efficiency and accuracy as the Generative AI streamlines day-to-day tasks by instantly retrieving submission details, summarizing risk data, and answering underwriting questions in real time.

“This is similar to ChatGPT where we can ask any observations or questions about a submission and the result is an accurate account or summary of the results,” said Harish Neelamana, Co-Founder and President at Convr. “Following a prompt, it can actually take an action and finalize the submission for the underwriter.”

Whether a customer is reviewing a complex commercial policy or triaging new submissions, the Generative AI module helps underwriters work smarter, not harder all within the Convr AI ecosystem. And conversations with the AI Assistant are memorialized in the underwriting file making it easy for an underwriter to analyze and improve its usage.

This workbench feature marks a pivotal moment in commercial insurance as Convr advances the industry from manual underwriting to technological innovation.

 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.

Trusted by Leading Commercial Carriers, MGAs and Brokers

News

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

XX MIN READ

New Convr Survey Uncovers the Real Bottleneck: It's the Data, Not the People

CHICAGO (July 21, 2026) — Convr®, the leading AI-native underwriting workbench purpose-built for commercial P&C insurance, today released new findings from its 2026 Convr Insurance Talent and Tech Trends Survey that challenge a long-standing industry narrative.

While carriers continue to cite talent shortages as a primary obstacle to faster, more consistent underwriting, the survey of 211 commercial insurance professionals reveals that the real bottleneck is the data and technology environment underwriters are forced to work within.

Underwriters aren't slow. Their tools are.

When asked what slows down underwriting most at their companies today, respondents pointed overwhelmingly to data and tooling problems rather than people problems:

  • 35.1% cited manual data entry as a top barrier
  • 27.5% pointed to dated, legacy technology
  • 24.6% identified too many submission data sources
  • 23.2% named old processes
  • 21.3% reported lack of reliability and consistency in their current systems

Compounding the issue, 63% of carriers report operating in hybrid technology environments — a legacy core with cloud-based tools layered on top — and another 22.7% remain predominantly legacy on-premise. Only 14.2% describe their core underwriting platform as mostly modern SaaS or cloud-native.

The talent narrative deserves a closer look.

When asked about the hardest underwriting talent attributes to acquire, the top response was "high productivity" (50.2%), a quality that depends as much on the systems underwriters use as on the underwriters themselves. Other top-cited attributes included insurance expertise (43.1%), technology competence (38.9%), and the ability to source appropriate data (37%).

"For years, the industry has framed underwriting capacity as a talent problem and there's no question the talent pipeline matters," said John Stammen, Chief Executive Officer at Convr. "But our data tells a more honest story. Underwriters aren't slow. They're being asked to do extraordinary work on top of fragmented data, manual entry, and legacy systems that were never designed for the volume or complexity of today's P&C market. The carriers winning the productivity battle aren't the ones hiring more underwriters, they're the ones giving their underwriters the data, tools, and the workflow to actually do their jobs."

Underwriters know exactly what they need.

When asked what their underwriting teams would benefit most from, respondents pointed to capabilities that directly address the data and tooling gap:

  • 47.4% cited AI tool training
  • 46.9% cited pre-screened and enriched submissions
  • 45.5% cited simplified access to data
  • 42.2% cited better historical account and loss data
  • 36.5% cited improved data source visibility

These are not aspirational asks. They are foundational requirements and they map directly to the capabilities Convr delivers through its modular AI-powered underwriting workbench.

"Every carrier we work with has talented underwriters," Stammen added. "What they don't have yet is an environment that lets those underwriters operate to the best of their abilities. That's the gap Convr was built to close. When you take manual data entry off an underwriter's plate, you don't just save time. You unlock judgment, speed, and consistency at scale."

About the 2026 Convr Insurance Survey

The 2026 Convr Insurance Talent and Tech Trends Survey was conducted in April and reflects responses from 211 commercial insurance professionals working in property and casualty, with strong representation from leadership (35.1%), VP/Executive (37%), and management (42.2%) roles across carriers, MGAs, brokerages, and specialty markets.

For more information, visit convr.com.

Media Contact:
Alex Williams
alex.williams@convr.com
217-737-2782

XX MIN READ

Crestwell Underwriters Expands New Partnership with Convr® to Modernize Commercial Underwriting

CHICAGO (July 7, 2026) – Convr®,the leading underwriting workbench for commercial insurance organizations, offering a modular platform that streamlines underwriting workflows from submission to decision, today announced an expanded partnership with Crestwell Underwriters, a provider of specialty property insurance programs designed for condominium and homeowners associations.

Crestwell Underwriters originally approached Convr to address a familiar challenge across commercial P&C underwriting: a manual, time-intensive submission process that pulled experienced underwriters away from higher-value risk decisions. The company began with Convr's Intake module to automate and streamline its submission workflow.

"Crestwell Underwriters first saw value in Convr's Intake module and recognized that Convr could help eliminate submissions that didn't meet our risk appetite and reduce the need for manual review by an underwriter," said Paul DiFrancesco, ChiefUnderwriting Officer at Crestwell Underwriters.

The partnershiphas since expanded. Crestwell Underwriters now leverages both Convr Intake and Convr Scores, gaining a more complete view of each submission and a faster path from data to decision.

"Crestwell Underwriters is primed to take their underwriting to the next level through the power of Convr," said John Stammen, Chief Executive Officer at Convr."What sets Crestwell apart is their willingness to challenge the status quo and envision the best approach to commercial underwriting.”

By combining Intake and Scores, Crestwell Underwriters has placed their organization in a position to process more business, focus their underwriters on the risks that truly fit their appetite, and deliver faster, more consistent decisions to their broker partners.

About Convr Intake and Scores

Intake ingests, splits, classifies, extracts and prioritizes precise data from structured and unstructured documents including: PDF, Excel, Word, and emails to automate and streamline clearance and loss analysis workflows.

Scores helps underwriters evaluate and prioritize submissions to ensure quoted business fits their risk appetite.

“This is exactly the kind of forward-thinking partnership we built Convr to support, and we're proud to be on this journey with them,” said Stammen.

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

XX MIN READ

Convr® Makes the Industry's Only Commercial P&C Risk Context Engine Available to AI Agents via Model Context Protocol (MCP)

CHICAGO (June 25, 2026) – An underwriter reviewing a $40M manufacturing submission can now ask their AI assistant — Microsoft Copilot, Claude, or any compatible agent, "What are the key risk characteristics on this account and how does it compare to similar risks?" and get an answer grounded in Convr's commercial P&C Risk Context Engine (RCE). That includes exposure profile, prior losses, peer benchmarks, and classification, all traceable to source.  

Convr® has added support for the Model Context Protocol (MCP), the open standard that lets AI agents call external systems as tools, making the RCE the industry's only commercial P&C knowledge graph and semantic ontology purpose-built for underwriting — available to any MCP-compatible AI system.

What underwriters can now do from inside their AI agent of choice:

  • Triage new submissions against carrier appetite  
  • Pull exposure summaries, prior-loss context, and peer benchmarks mid-conversation with a broker
  • Validate classifications and surface missing information before binding
  • Ground AI-drafted quote rationale, declination letters, and referral memos in RCE data the underwriter can trace

Because the RCE is calibrated against real commercial P&C submissions and refined in production across carriers, MGAs, and brokers, every response carries the same grounding and traceability as work done directly in the Convr Underwriting Workbench.

"Underwriting decisions are only as good as the context behind them, and the best source of commercial P&C insurance context is the Convr Risk Context Engine," said Harish Neelamana, Founder, President and Chief Product Officer at Convr. "With MCP, an underwriter can stay in Microsoft Copilot, Claude, or whichever AI agent their carrier has standardized on, and the RCE meets them there — with the same grounded, traceable intelligence they'd get inside the Convr Underwriting Workbench. The decision gets made faster, with better context, and the underwriter never has to leave the tool they're already in."


Availability

MCP connectivity is available to Convr Underwriting Workbench customers. 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

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