December 2, 2025
xx min read

Convr® Holds the Universe of Commercial Insurance within P&C Submission Ontology

The leading AI company serving P&C insurance organizations with its workbench has been surfacing data from its vast and expanded submission ontology since 2016.

CHICAGO (December 2, 2025) – Convr AI® is celebrating a decade in the commercial insurance data domain in the new year by recognizing the depth of its submission ontology. The leading artificial intelligence (AI) company serving commercial insurance organizations with its underwriting workbench has been surfacing data from its vast, continuously updated and expanded submission ontology for customers since 2016.

The Convr AI underwriting workbench is powered by a commercial P&C insurance ontology – a smart framework that centralizes all customers’ data, logic, and workflows into one connected system. It securely combines their customer data with enriched submission data and deeper risk insights, all feeding into downstream systems and supporting historical change analysis.

The submission ontology acts as a central, unified framework to connect disparate data, business logic and actions, creating a dynamic, centralized commercial insurance domain-specific schema with JSON output.

Convr’s submission ontology is a vital differentiator because it:

  • Connects disparate data into a single, structured model. This creates a dynamic map of the business, linking digital assets to underwriting decisions.
  • Acts as a control layer to ground underwriting AI models with a set of defined data, logic, and actions. This ensures AI-driven decisions are reliable and actionable, reducing hallucinations.
  • Enables real-time action and automation by connecting data, models, and operational systems in real-time – allowing for automated processes and the ability to act directly from the data.
  • Supports agile development by creating a harmonized layer of business concepts; new applications can be built quickly on top of the existing ontology.
“It's not just another tech layer,” said John Stammen, Chief Executive Officer at Convr. “It’s the backbone for smarter, faster, and more consistent underwriting in the commercial P&C insurance domain.”

The Convr AI submission ontology has developed over the past decade informed by the data needs of 80% of the written premium in the commercial insurance domain and is readily available out-of-the-box, ensuring immediate integration and deployment without customer development for future-proofed standardization.

Our pre-built ontology supports diverse underwriting requirements across both standard and specialty lines, covering the full workflow from submission through rate, quote, and bind. It was purpose-built for commercial underwriting workflows, integrating essential enrichments directly into the submission through bind process.

“Our approach eliminates the need for Convr customers to incur costs or operational overhead for document analysis and ontology maintenance,” said Stammen.

All customers, from brokers to carriers and MGAs, benefit directly from ongoing updates and enhancements to the ontology that Convr implements on their behalf without additional effort.

This historical marker for Convr is a win for commercial insurance and is a pivotal moment as we advance 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 a commercial P&C insurance ontology enriching, prioritizing, and expediting decisions with the best data and insights automating rate, quote, bind workflows.

Trusted by Leading Commercial Carriers, MGAs and Brokers

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XX MIN READ

New Convr Survey Reveals a Confidence Gap in Commercial P&C: Carriers Are Adopting AI Faster Than They Can Build a Strategy for It.

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.

"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.

XX MIN READ

Convr® Expands Extensive Partnership Lineup

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.

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XX MIN READ

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.

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