July 23, 2024
xx min read

Leveraging AI to Save Time and Money

As all insurers know, time is money—it's a valuable resource that should be used efficiently and productively and Convr AI can help commercial insurers do that.

As all insurers know, there is a critical balance between the time spent on submission review and the need to issue quotes in a timely fashion. And in today’s world of technological advancements employing artificial intelligence (AI) is one way insurers can move quickly, satisfy customers and ensure quality selection—saving time and money for their organization.\nHow does AI save time and money? AI can limit mistakes, organize work, digitize processes, make work easier for everyone and create customer satisfaction—all things that save time and money, along with a better experience.\nAt Convr AI, when customers choose our underwriting workbench, they choose our AI to do all of these things and more. They’re typically in search of better information and increased efficiency; sometimes they want to simplify their \nworkflows. One way they do that is by simplifying and streamlining the intake process with our Intake AI product. \n \nHow Intake AI WorksIntake AI eliminates manual submission processes by digitally ingesting, preparing and analyzing underwriting documents for customers. It also verifies and digitizes structured and unstructured documents such as ACORD, broker forms, email content, loss runs, supplemental forms, statements of value (SOV) saved in PDF, Microsoft Excel and Word and email formats splitting and staging the documents then extracting select data via machine learning models (MLM) to register, clear and analyze insurance submissions in real-time. \nThe digitized submission data is then stored in a digital document library and flagged as high or low confidence. High confidence submissions that meet fitness rules are enriched with the best sources of public and private data for straight-through processing (STP) or underwriting referral and review. \nLow confidence documents are automatically set-up for review by a human-in-the-Loop (HITL) digital assistant to process using a side-by-side online viewing panel that displays the original document on one side with an open form for editing on the other side. The corrected low confidence document is then also cleared for straight-through processing (STP) and/or underwriter rating. \nSo how does Convr supply a more complete look at the risk? Convr’s Risk 360 AI is a data lake comprised of the digital footprint of millions of businesses—built with an underlying knowledge graph that unleashes detailed insights from the intersection of tens of thousands of data elements. \n \nHow Risk 360 AI Works \nRisk 360 AI requires only a business name and address to streamline submission research and enhance applicant data with the power of AI. Data cards with submission details are then generated through AI features and machine learning models (MLM) derived from Convr’s data lake which regularly streams fresh data from thousands of public and private data sources with more than 85 million businesses and nearly 785 million entities. \nSources of data, DBA’s, business classification codes, business profiles and more are automatically embedded within an underwriting file that includes a snapshot of the submission details enhancing account communications, pricing reviews, claims management and re-insurance submissions. \nSo just these two Convr resources alone—Intake AI and Risk 360 AI—would be more than enough to bring significantly improved focus and efficiency to your underwriting team, getting them on track to do business in an easier way that will in turn speed up submission-to-quote and improve your customer outcomes—saving time and money. \nBut Convr doesn’t stop with just Risk 360 AI and Intake AI. There are other services within our full suite of modularized products that inter-operate to best meet your needs. Read how we can flex to best solve your problems here on our platform page: https://convr.com/workbench/. \nOr sign up now to meet with our team to see how Convr’s Risk 360 AI and Intake AI can transform how your underwriting teams can better perform and positively impact your performance and profitability.

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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.