April 15, 2025
xx min read

Data Enrichment: Where Convr Shines

So how do we use AI and data in our Convr Underwriting Workbench? We digitize the submission, extract the information and build an historical record.

Convr is an artificial intelligence (AI) underwriting, data, and intelligent document processing workbench. Our underwriting workbench enriches and expedites commercial property and casualty (P&C) insurance underwriting.So how do we use AI in our Convr Underwriting Workbench? Convr digitizes the submission, extracts the information and builds a historical record. That historical record is enriched with vast amounts of data from various sources, such as social media, financial records, public records, and medical histories, streamlining the data-gathering phase. \nThe data comes from our deep data lake known as Risk 360 AI. Our data is commercial P&C insurance-industry specific, organized for the purpose of insurance evaluation and as reliable as any single primary source. Plus, our range of domain-specific sources is staggering, as is our commitment to continuous improvement.\nWe bring nine years of continuous learning to the AI table, as our commercial P&C insurance models have advanced with every point of access. Our data pipelines connect with thousands of data sources that are continually refreshed in concert with source updates. There is no other resource that can deliver the best and most relevant data in-line with your underwriting operation.\nOur AI-infused, modular underwriting platform containing our Risk 360 AI data lake significantly simplifies searches from thousands of sources and millions of websites—cutting down on an underwriting team member’s manual effort to gather information while simultaneously reducing the number of time-consuming searches from external sources. \nWith Convr’s Risk 360 AI commercial property and casualty insurance underwriting teams can also:

  • Visualize a deeper applicant view
  • Assess risk appetite compliance with greater efficiency
  • Synthesize vast amounts of information
  • Empower underwriting actuarial and data science teams to bring their own data (BYOD) to our seasoned models
  • Retain and reuse applicant data for future pricing and claims modeling, operational and portfolio analysis

How does it work?Our unrivaled insights from machine learning (ML) models synthesize the vast array of purpose-gathered information and deliver a comprehensive view of the submission based on your underwriting risk appetite. \nThe information is delivered through a visual knowledge graph to support your underwriting process. With faster discovery, the graph exposes detailed insights that enable easier interpretation of findings and a deeper look at search results, to better guide your decisioning. A historical record is then captured for renewals, operational and portfolio insights, as well as claims and audit evaluations. \nThe process takes seconds—not hours or days, saving your team time and resources by increasing efficiency and speeding submission-to-quote. And the more updates and current information that gets added to the data lake, the better results and decisioning for underwriting teams. \nBringing data enrichment to the table is where we really shine. By leveraging AI, commercial P&C insurers can make underwriting faster, more accurate, and more transparent, which can improve their profitability. \nIf you would like to learn more about that element of our workbench or any other ways we are improving outcomes for underwriters, we encourage you to meet with our team today.

blogs

Keep Reading

More articles on AI, underwriting and the future of commercial P&C.

XX MIN READ

Glean Insights on Hard-to-Find Small Businesses with Convr’s Biz Intel Feature

A huge portion of commercial property and casualty (P&C) insurance applicants barely exist online. Many small and mid-size commercial insureds (the bread and butter of commercial insurance underwriting) are nearly invisible online.

Think about it . . . landscapers, contractors, florists and more. The  food truck owners, small town auto mechanics and mom and pop shops . . . many don’t have:

  • a website
  • a strong social media presence
  • consistent business filings
  • complete insurance applications

Underwriting team members call this a low digital footprint risk and it’s a problem for them. When the submission comes in, they need to know if the business is real, if the owners do what they claim to do, and if the exposure is what the agent says it is.

But if the business has no digital presence, the underwriter is lost without their normal verification tools including website and online reviews, access to pertinent safety records and satellite exposure checks as well as prior filings.

That’s where Convr’s AI Underwriting Workbench shines. With our Biz Intel web search feature for low digital footprint companies, that hard to find information easily turns up for the underwriter within our underwriting platform.

The Convr Underwriting Workbench’s Biz Intel can uncover:

1) Business Classification

2) Appetite relevant exposures

3) Number of employees

4) Revenue

It turns an unknown into a knowable risk, giving the underwriter the opportunity to decide whether or not to write the risk rather than to spend time investigating it further. It’s a shortcut for underwriting team members of all levels as they spend less time searching for the details that move the decision.

All in one place:

In the Convr AI Underwriting Workbench, every new submission with the web option enabled, runs Biz Intel and returns the results inline. The hard-to-find details land next to the submission you're working on, not three tabs away from it.

Why it matters:

Low-digital-footprint submissions take time that underwriters often can't justify spending. Enrichment surfaces the missing data automatically, so accounts that would have been deprioritized or declined for lack of information become writable.

Convr’s Biz Intel users get:

1) First-quote advantage: Brokers place business with the first to quote. If your underwriting team is out searching Google, the Secretary of State, checking maps and emailing questions – you could be missing out on deals. With Convr AI data enrichment, the data comes to the underwriter instead of the other way around – and the first quote is more often yours.

2) Reduced referral dependency: When reliable information on low digital footprint companies is available in the file, more submissions can be decided where they land. Junior underwriters escalate only the accounts that genuinely need a second set of eyes. Senior underwriters spend their time on the complex risks and judgment calls that actually require their experience – not on questions a richer file would have answered on its own. Across the team, consistency improves and cycle times tighten.

3) Greater portfolio profitability: This is the real return on investment. Commercial carriers rarely lose money on catastrophic risks. Instead, they lose money on thousands of slightly mispriced/misunderstood small and mid-size policies – and low-visibility insureds are exactly where this is most common.

Convr's AI Underwriting Workbench isn't a productivity system. It's a loss ratio control system. If thin-file submissions are costing your team time or premium, we should talk – visit us at convr.com today.

XX MIN READ

Convr Accelerates MGA Growth

From Intake automation efficiency to data modeling for hidden insights, Convr is helping Managing General Agents (MGAs) turn fragmented submission documents into structured, enriched data – accelerating clearance, rating, and quote times to unleash profitable growth.

Everyone knows the best models win at taming documents!\nOur Intake module ingests and enriches data from both structured and unstructured documents including PDFs, Excel and emails across commercial property and casualty (P&C) insurance asset types, including ACORDs, Inspection Forms, SOVs, Loss Runs, Schedules, and more.

Powered by Convr AI and the Risk Context Engine – a purpose-built commercial insurance ontology, knowledge graph, and semantic layer that powers a multi-line schema – transforming fragmented submissions into structured, decision-ready intelligence. By grounding every document, application and data source into a consistent schema, Convr Intake ensures contextually complete, consistent, and reliable data from the start. The result is faster processing, fewer manual touchpoints, and improved risk clarity for accelerated MGA Growth.

Through Risk 360 – a commercial insurance data lake comprised of the digital footprints of millions of businesses – Convr standardizes addresses, performs geo-coding, enriches submissions with CAT modeling codes, and adds property intelligence data such as distance to coast and other hazard indicators. The enrichment delivers a holistic decision-ready view of risk prepared for underwriting, rating, and carrier reporting.

By eliminating re-keying and reducing back-and-forth data gathering, submissions are ready to quote in less than 10 minutes! This is how our MGA customers underwrite smarter and faster to unlock substantial written-premium growth without adding to headcount.

If you’re exploring ways to scale faster with AI, better data and meaningful operational efficiency, Convr welcomes the opportunity to share how leading MGAs are using Convr today.\nJust reach out to Convr today to see how we can help!

XX MIN READ

Convr® Evolves Data Catalog for Faster, More Transparent Underwriting

Convr®, took a leap toward delivering the next big advancement in artificial intelligence (AI) underwriting through the enhanced performance and usability improvements of its Data Catalog within its commercial insurance underwriting workbench in 2026. Convr’s Data Catalog makes it easier for underwriting team members to discover the thousands of data sources that are compiled in Convr’s Risk 360 data lake.\nThe leading artificial intelligence (AI) company serving commercial insurance organizations with its underwriting workbench implemented a new view for the company’s Data Catalog which aligns with its commitment to transform the commercial insurance underwriting industry and enables frictionless underwriting.\nWithin the model, users can easily glean insights from its extensive list of nearly 3,000 external data sources. Underwriters can also search across all Convr data sources, filter through the list by location, and view detailed information about each source with greater clarity. This new format allows users to quickly understand what data is available and how frequently it is refreshed.\nWhat it shows:The Data Catalog displays detailed information about each data source, including:

  • Source name
  • Data type
  • Source update frequency
  • Convr update frequency
  • State
  • Last updated date

The new table format makes it much faster and more intuitive for users to locate the data they need. The clickable links are up-to-date avenues that serve as a streamlined source to greater information and transparency into submission data. Our customers have much to gain from this new functionality.\nTogether, these advancements within the platform's user interface mark a pivotal moment, advancing the industry toward a more intelligent and trustworthy underwriting process built on accessible, high-quality data.

Realize End-to-End Underwriting Excellence with Convr AI

Experience how commercial P&C insurance organizations benefit from submission through quote with a frictionless process enriched by AI decisioning, empowering them to make better decisions, faster.