News

CHICAGO (August 4, 2026) – Convr^®, the company that invented theAI-native commercial underwriting workbench, today announced the strategic positioning of d3 Desk, the rating and quoting engine inside its Convr AIUnderwriting Workbench. The d3 Desk module gives commercial P&C carriers and MGAs a single environment to rate risks, generate quotes, and initiate bind, eliminating the workflow gaps that have historically forced underwriters to jump between systems.

Foryears, commercial underwriters have relied on disconnected tools to move fromsubmission to bind. The fragmentation slows decisioning, introduces re-keyingerrors, and adds operational friction confounding scale. By incorporating rateand quote natively inside the Convr AI Underwriting Workbench — with APIintegrations to any partner system even manual spreadsheets — d3 Desk completesthe binding process with a new industry level of productivity.

"Ourcustomers have been asking for one thing consistently . . . close theloop," said John Stammen, Chief Executive Officer at Convr. "They love what we do upstream with intake and risk analysis, but the moment anunderwriter has to leave the workbench to rate or quote, the productivity gainsare diluted, but d3 Desk solves that. Underwriting teams can now move from asubmission landing in their inbox to a quote being delivered without everleaving our workbench."

Built for the reality of commercial underwriting

Unlike consumer or small-commercial rating engines, d3 Desk is designed for complexity. The engine handles multi-line, multi-state, and multi-coverage scenarios, accommodates carrier-specific rating logic, and supports the kind of underwriter judgment that commercial submissions require. Quotes generated through d3 Desk are grounded in Convr's Risk Context Engine — a foundation that combines a 161-million-entity data lake, a commercial P&C schema continuously refined since 2016, a knowledge graph that validates every datapoint, and a domain ontology built specifically for commercial insurance.

That grounding matters. AI-driven rating is only as reliable as the data it uses to reason. d3 Desk's outputs are explainable, traceable, and consistent with  the underwriting guidelines a carrier has built into the platform.

Bindthrough any partner System

While d3 Desk handles rate and quote natively, it is intentionally open at the bind stage. Carriers can connect d3 Desk via API to their existing policy administration system (PAS), whether that is a major core platform, a cloud-native PAS, or a homegrown solution. This approach gives carriers the speed of an integrated workbench without forcing them to replace systems they already rely on.

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

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

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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

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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