July 20, 2023
xx min read

Three Hot Topics for Workers Compensation Executives

AI and Machine Learning methodologies are new partners to workers’ compensation automation for loss avoidance, and colleague recruitment and retention.

Workers Compensation organizations including carriers, state insurance funds and rating bureaus share a great deal in common. Notably, they are all directly impacted by regulatory, economic, societal, and environmental conditions while trying to protect American productivity.

\n

At a time when the pace of change continues to accelerate, Workers Compensation executives must be vigilant in their observance of emerging trends and the adoption of new ideas and methods to address them. Some of the hot topics include:

\n

  • The changing workplace – retention and the talent gap
  • \n
  • Data access and accuracy
  • \n
  • Advancing technology AI and technology enablement

\n

The Changing Workplace

\n

The pandemic wreaked painful havoc on nearly every workplace around the world. Suddenly, offices, hotels, restaurants and nearly every gathering place was emptied. Isolation and illness forced the adoption of new technologies and medical treatments. Three years later, workers are less tethered to their offices than ever before and in many cases, are insistent on more flexible work conditions. Additionally, nearly two-thirds of workers are looking for a new job, and 88% of executives are seeing higher turnover than normal, according to a survey by the consulting firm PwC.

\n

The workforce has become less experienced and less loyal, exposing the workers compensation industry to potentially higher exposure and pricing insecurity.

\n

Data Access & Accuracy

\n

Another of the trends that will increasingly affect workers compensation organizations is the proliferation of data and the essential requirement to understand data lineage, relevance, and accuracy. While analytics has long been an essential tool among workers compensation providers, trended data was considered reliable. With massive changes, that assumption is now highly questionable. The need has gone beyond a team of data scientists to the need for new and integrated data sources and models that can be updated and validated with increasing frequency.

\n

Internal teams can no longer manage the data deluge alone.

\n

Advancing Technology

\n

AI and Machine Learning methodology is essential to keep up with the pace of change. Chat GPT has received a lot of recent notoriety for good cause. We need to learn faster from experience as new workplace issues emerge at an ever-increasing pace. We need to collect and analyze the right data more quickly to prevent losses. And, we need to predict trends and losses

\n

to avoid poor performance. We also need to adapt technologies in support of our workers’ compensation colleagues to ensure that ours is an industry with the modern technology that fuels worker performance and satisfaction.

\n

AI and Machine Learning methodologies are essential, new partners to workers’ compensation automation for loss avoidance, claims management, and colleague recruitment and retention.

\n

Convr AI is all about helping workers’ compensation insurers, managing general underwriters (MGU) and producers, as well as state boards and rating organizations improve performance by incorporating the best data into advanced AI models. We begin by ingesting Experience Rating Mods (e-mods) and business classification codes into the Convr Underwriting Command Center platform.* From there, Convr AI combines the e-mods and classification codes with peta-bytes of continuously refreshed data housed in our proprietary data lake comprised of thousands of public and private data sources.

\n

A knowledge graph keeps the various data elements connected and machine learning models (MLM) pinpoint the best data surfacing key underwriting insights, business classification/DBAs and risk scores, enabling underwriting teams to make smarter risk decisions, faster.

\n

Using our d3 Risk 360TM data lake, teams find new efficiencies in segmenting business entities by classification code to identify and prioritize audits in high-hazard classes. Then, they benefit from simplified look-up of each company and their DBAs. Using d3 Risk 360, our customers can also identify material account changes. Convr’s data lake is like having a crystal ball—you see things others simply can’t. The ease of use and insights are unparalleled.

\n

Convr would welcome the opportunity to share more about our data ingestion and insights capabilities and how we can help you become more productive and more successfully manage workers compensation performance.

\n

Request a demo by scheduling time with Convr’s Business Development team.

\n

*Note: Affiliate agreements must be in place between the insurer rating board and Convr for Convr to ingest the e-mods.

blogs

Keep Reading

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

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.

XX MIN READ

Are You Ready for an Underwriting Workbench? 4 Signs You’re Ready to Implement Now

A commercial property and casualty P&C insurance carrier’s sustainability and long-term success is best determined not only by their approach to solving today’s problems, but how poised they are for adaptation and future growth.\nUnderwriting workbenches are a powerful and effective solution to solving some of today’s top underwriting issues, but how they align to an organization’s existing processes, technologies and long-term goals will ultimately determine their success and lasting power.\nFor underwriting teams and commercial insurance organizations as a whole, there are some not-so-subtle signals that your underwriters could be ready for an underwriting workbench now and for many years into the future.\nTake a look below to see how these four signs show up across the people, processes and technology within your organization:

  1. Underwriting team members are forced to toggle between multiple systems to evaluate a single risk, losing valuable time that could be used working on other higher-value submissions
  2. Critical data is manually rekeyed or copy-pasted across tools, rather than being automatically and consistently captured, losing efficiency and productivity
  3. Documents such as PDFs, loss runs and emails, etc. are driving most underwriting decisions but are fragmented, manually processed files and hard to operationalize
  4. Quote and bind turnaround times are inconsistent or slipping, resulting in missed opportunities and losing business for your organization

\nOur team has deep insurance experience—so we get it. It’s tough to get everyone on board to implement a new tool or end-to-end solution . . . but the number of companies that have realized quick wins with Convr’s off-the-shelf, AI underwriting capabilities is remarkable—so why wouldn’t you give us a go? \n \nIf you’ve done a simple search online, you’ve likely already discovered the Convr AI Underwriting Workbench, considered our capabilities and have some understanding of how our solutions can solve some of your team’s biggest problems. Powered by a commercial P&C insurance ontology, our workbench enriches and expedites submissions decisions – reducing submission through quote times by 70%, increasing new business win rates, and quickly identifies renewal material changes. \nWith Convr you can start with the module that addresses your biggest bottleneck today, then grow into Convr's broader workbench over time. As a refresher, here are some proven off the shelf solutions you might consider: \nIntake: Our Intake engine eliminates manual submission processing by digitally ingesting, preparing and analyzing underwriting documents. For every submission that flows through your business, we extract key data points and augment the information with third-party data to broaden and deepen the risk profile. By automating and digitizing the insurance application process, underwriting teams can quote faster, with more confidence, enhanced application data and deeper insights. \nRisk 360: Commercial insurance underwriting teams can streamline research and enhance applicant data by enriching submissions with the power of AI. Risk 360 is a vast 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 \nConvr AI: Deep Learning Models, Agentic and Generative AI are assistive to users generating a risk summary from submission data and helping customers perform their workflow tasks with greater ease, improving productivity. \nConvr has the skill and enthusiasm to quickly roll-out your project and implement one of these programs today. These off-the-shelf options we presented above are standard implementations that can be up and running for your operation in as few as four weeks and are a great way to advance your team’s underwriting business goals. Just ask and we’ll give you a customer reference that recently got up and running in as few as 19 days!\nTo learn more about the many modules within Convr’s AI-powered underwriting workbench contact us today at convr.com. \n

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.