May 20, 2025
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Commercial P&C Insurance Industry Leaders Primed for Digital Transformation

Results are in from the Convr AI Insurance Talent and Tech Trends Survey and commercial P&C insurance leaders in the U.S. are primed for digital transformation.

Convr AI® Insurance Talent and Tech Trends Survey Results Are In

CHICAGO (May 20, 2025) – Digital transformation and on-the-job training is on the docket for commercial P&C insurance organizations in 2025. In this year’s Convr Insurance Talent and Tech Trends survey, Convr surveyed 200 commercial property and casualty (P&C) insurance decision-makers across the U.S. to dig into the role talent and technology play in driving results.

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The findings? Nearly 92 percent of insurance industry leaders—manager and above said they are providing up-training to their underwriting teams to advance their skills in data analytics, automation and digital underwriting.

And workers want it! Forty-five percent of respondents said their underwriting team members want better access to technology and tools to improve their quality of work and 42 percent said their underwriting teams want training on the latest technology.

The appetite is there—but are leaders listening? Over half, 53 percent of respondents said they definitely expect more underwriting tasks to be automated over the coming years. And that could be because they believe underwriting work is monotonous. In our survey we asked just how tedious entering underwriting data is and 84 percent of leaders admitted it was somewhat to very tedious work.

But there is a glimmer of hope, it seems they see value in underwriting technology, as more than half of the respondents are certain anywhere from 25-50 percent of manual underwriting work could be automated. With too many submissions, lack of good technology and too much manual data entry—all respondents can agree there is a bevy of pain points and setbacks in their underwriting departments.

And there is another certainty; nearly 85 percent of insurance industry leaders think using better technology will reduce employee attrition while 93 percent agree using technology helps attract younger workers.

What is even more startling is their take on technology and performance with nearly 95 percent agreeing that their company’s overall performance could be improved through process efficiencies in underwriting. And two process efficiencies Convr can aid in are data and artificial intelligence (AI). Nearly 46 percent identified that their underwriting team could benefit from simplified access to data and 43 percent believe access to AI tool training could be key in driving their submissions forward faster.

So technology adoption is happening—but not by all. Some 74 percent of leaders said their company delivered new underwriting tools to their team in 2024—but still, more than 17 percent did not. This year, in 2025 the projected number grew with 83 percent of teams expecting to deliver new technology tools to their underwriters.

And what are they after most? Workflow management, data/data management and underwriting productivity/performance measurement tools. All things Convr does for customers now and can do you for, too.

These are not just nice-to-have insights; they represent a fundamental shift in how commercial P&C insurance organizations are thinking about their tech stack for now and the future.

At Convr, researching customer needs and attitudes will continue to shape how we work with our customers, and it will also support how we approach partnerships moving forward. But this research is not just for us—it is for insurance providers everywhere. We want you to dig into the data, reflect on your own strategies, and share these insights with your teams. There is no better time to add new technologies such as Convr’s Underwriting Workbench to your tech stack than the present.

If you're looking for ways to digitize, enhance and expedite your underwriting, our modular solutions can help! See what we have to offer at convr.com/workbench.

About Convr AI®

Convr is an AI underwriting, data, and intelligent document processing workbench that drives world-class customer experiences. It delivers premium growth, insights and efficiency for commercial P&C insurance organizations of all sizes, including many of the top 20 carriers, MGA's, Brokers and Reinsurers. Convr is revolutionizing the industry through data, discovery and decision intelligence. To learn more, visit www.convr.com. Follow Convr on Twitter,Instagram,LinkedIn and YouTube.

 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.

XX MIN READ

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.

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

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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