News

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
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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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CHICAGO (June 23, 2026) – Convr^®, the leading AI UnderwritingWorkbench for commercial property and casualty (P&C) insurance, today affirmed its commitment to a core-system-agnostic architecture that deliversAI-powered underwriting across every major policy administration platform including Guidewire, Duck Creek, Sapiens, and other core systems used by carriers and MGAs worldwide.

The announcement comes as commercial insurance organizations confront a difficult modernization reality: the speed of AI is accelerating, but core system replacement cycles remain measured in years, not months. Carriers and MGAs cannot afford to wait for a full core system transformation before deploying AI in underwriting, and they cannot afford to be locked into AI tools that work with only one platform. Convr's architecture is designed expressly for this moment, bringing AI-powered intake, enrichment, classification, scoring, and agentic decisioning to underwriting teams without disrupting their existing systems of record.

Built to integrate, not to replace

Convr's AI Underwriting Workbench is purpose-built as a modular layer that integrates with, not in place of, a carrier's existing system architecture. Through modern APIs, configurable data exchanges, and a flexible integration framework, Convr's platform connects with the major commercial insurance ecosystems, including:

·      Guidewire

·      DuckCreek

·      Sapiens

·      Legacy and proprietary systems

Convr's integration approach is grounded in the same proprietary commercial P&C ontology that powers the rest of the workbench, allowing the platform to translate between data models, classification schemas, and exposure structures across systems. The result: underwriters get a unified, AI-powered submission experience regardless of which core platform sits behind it.

"Underwriting transformation cannot wait for core system transformation," said John Stammen, Chief Executive Officer at Convr. "Our customers run on every major platform in the industry, and they need AI that works with what they already have. We built Convr from day one to be the connective tissue between underwriting intelligence and core systems, not a replacement for either."

Availability

Convr's Underwriting Workbench and powerful Risk Context Engine is available today for carriers and MGAs operating on any major commercial insurance core system. Organizations interested in learning more can visit convr.com or contact a Convr representative.

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

CHICAGO (June 16, 2026) – Convr^®, the leading AI company serving commercial insurance organizations with its modular underwriting workbench, today announced a strategic partnership with Property Guardian, the wildfire risk analytics platform from Green Shield Holdings. Through the agreement, Property Guardian's property-level wildfire intelligence will be available directly within the Convr AI Underwriting Workbench, giving underwriters the data they need to confidently select, price, and monitor wildfire-exposed risks without interrupting their workflow.

Wildfires have become one of the most consequential and fastest-evolving perils in property insurance, reshaping appetite, capacity, and pricing across the western United States and beyond. Underwriters increasingly need transparent, defensible, property-level wildfire data to write business in exposed markets, rather than declining accounts or relying on generic regional risk scores. By integrating Property Guardian into Convr's workbench, customers gain a unified view of submission data, enriched business intelligence, and wildfire-specific risk insights, all in one place.

What the partnership delivers

Convr’s Property Guardian users can expect:

• Property-level wildfire risk insights — including structure, parcel, community, and regional analytics — surfaced inline within Convr submissions

• Access to Property Guardian's analytics, built on exclusive data partnerships with leading wildfire modeling and imagery providers

• Faster, more defensible underwriting decisions in wildfire-exposed markets, with the ability to expand appetite into accounts that might otherwise have been declined for lack of clarity

• Reduced reliance on costly in-person loss control inspections

• A unified workflow that combines Convr's intake, enrichment, classification, and decisioning capabilities incorporating Property Guardian's specialized wildfire analytics

“Wildfire risk has fundamentally changed how property underwriters need to think about selection and pricing, and our customers have been clear that they want trusted wildfire intelligence available at the point of decision, not three tabs away," said John Stammen, Chief Executive Officer at Convr. "Property Guardian brings the depth of wildfire science, modeling, and expertise that complements the Convr AI Underwriting Workbench. Together, we're giving underwriters the clarity to write more business confidently in some of the most challenging markets in the country."

“Convr is transforming how commercial insurance organizations move from submission intake to underwriting decision, and this partnership brings Property Guardian’s wildfire intelligence directly into that workflow,” said Pat Blandford, Founder & CEO of Property Guardian. “Wildfire-exposed business does not have to be an automatic decline. With the right property-level data, underwriters can better understand risk, identify where mitigation and resilience matter, and make faster, more defensible decisions. Together with Convr, we’re helping carriers and MGAs bring greater clarity, consistency, and confidence to one of the industry’s most challenging perils.”

The integration is available to Convr customers immediately. Carriers and MGAs interested in learning more can visit convr.com or contact their Convr representative.

About Property Guardian

Property Guardian (part of Green Shield Holdings) delivers advanced wildfire analytics that help carriers, MGAs, and insurance professionals select, price, and mitigate risk in wildfire-exposed markets. By combining cutting-edge science with exclusive data partnerships, Property Guardian transforms thousands of wildfire signals into clear, actionable insights at the property level. Our intelligence supports smarter underwriting and portfolio management across the entire insurance lifecycle. Learn more at www.propertyguardian.com.

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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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CHICAGO (June 2, 2026) — Convr®, the leading AI underwriting workbench purpose-built for commercial P&C insurance, today released findings from its 2026 Convr Insurance Talent and Tech Trends Survey, revealing a striking gap between how quickly carriers are adopting AI in underwriting and how confident they are in the strategy guiding that adoption.

The survey of 211 commercial insurance professionals — including a majority at the leadership, vice president, and executive levels — found that AI adoption in underwriting is accelerating across the industry, yet strategic clarity is lagging.‍

The pace of adoption is undeniable:

• 89.5% of respondents expect more underwriting tasks to be automated in the coming years
• 70.6% delivered new AI underwriting tools to their teams in 2025
• 65.9% plan to deliver additional AI tools in 2026
• 53.6% have AI deployed in at least one production underwriting workflow

But strategic confidence has not kept pace:

• Only 20.4% of leaders are "highly confident" their organization has a clear, actionable AI strategy for underwriting
• More than 40% rate themselves in the bottom half of the confidence scale
• 56.9% describe their organizational culture toward AI as "cautiously open — interested but wanting proof before commitment"

"The industry has crossed a threshold," said John Stammen, Chief Executive Officer at Convr. "AI in commercial underwriting is no longer a question of whether, but a question of how. What our survey reveals is that while carriers are moving quickly to deploy AI tools, many are doing so without the strategic framework to ensure those investments deliver lasting business outcomes.”

That gap between adoption and strategy is the single biggest risk facing commercial P&C leaders today, and it's also the biggest opportunity. The carriers who close it first will define the next decade of underwriting, according to Stammen.

The survey also surfaced the operational realities driving urgency around AI adoption. Respondents pointed to manual data entry (35.1%), dated and legacy technology (27.5%), and too many submission data sources (24.6%) as the leading factors slowing underwriting at their companies today. Meanwhile, 63% of carriers operate on hybrid technology environments — a legacy core with cloud-based tools layered on top — underscoring why a unified, AI underwriting workbench has become a strategic imperative rather than a nice-to-have.

Stammen noted that beneath Convr’s underwriting workbench is a data-first architecture purpose-built for commercial underwriting, not an AI layer bolted onto legacy systems. At its core is Convr’s Risk Context Engine, a unified intelligence framework that connects structured and unstructured submission data, business logic, and AI models into a single source of truth, grounding AI decisions in real underwriting context rather than generic output. Powering the engine is Risk 360, Convr’s proprietary insurance data lake, with 10 years of historical underwriting data continuously enriched by more than 2,500 public and private sources and 785 million data points on 87 million companies. Together, they give carriers what point AI tools cannot — a strategic foundation that turns AI adoption into repeatable, measurable underwriting outcomes.

When asked what would most benefit their underwriting teams, respondents pointed to AI tool training (47.4%), pre-screened and enriched submissions (46.9%), and simplified access to data (45.5%) — all areas where Convr's modular workbench is actively helping carriers close the strategy-to-execution gap today.
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"Strategy without execution is theory. Execution without strategy is chaos," said Stammen. "Convr was built to give carriers both a clear path from where their underwriting operates today to where it needs to be tomorrow."‍

About the 2026 Convr Insurance Survey‍

The 2026 Convr Insurance 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.

CHICAGO (May 28, 2026) – Commercial underwriters using Convr® now have access to a significantly expanded partner ecosystem. Convr continues to add new third-party data, software and integration partners to support our customers’ unique workbench applications.

New to Convr’s  growing partner ecosystem are:

• Guidewire Technology Alliances Growth
• Coherent
• Swiss Re CatNet®
• Swiss Re Property Data Services (PDS)
• Exavalu
• Property Guardian
• And more
  

"Convr’s ability to plug in third-party data and software partners is incredibly beneficial for customers,” said John Stammen, Chief Executive Officer at Convr. “Our extensive partnerships and pre-plumbed connections enable both comprehensive capabilities and quick time to value."

The Convr AI Underwriting Workbench powered by a commercial P&C Risk Context Engine continues to lead innovation in the commercial insurance underwriting space. The expansion of our partner relationships showcases our dedication to unlocking even more performance improvements for customers now and into the future.

The expanded partner ecosystem reflects a broader shift in how commercial underwriting is done. As carriers, MGAs, and brokers face mounting pressure to write more business without growing teams, we help define a viable solution for processing a submission in minutes versus days – increasingly the winning characteristic for business. Convr's partner integrations combined with its AI-native workbench and underlying Risk Context Engine give underwriters the data and tools they need at the moment of decision, not after the submission has gone cold.

Insurance organizations interested in learning more can visit convr.com or contact their Convr representative.‍

Media Contact

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

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.

CHICAGO (April 7, 2026) – 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.

“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.

Founded 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.

“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.”

Even 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.

Convr 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.

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.