{"id":905997,"date":"2026-08-12T15:32:52","date_gmt":"2026-08-12T21:32:52","guid":{"rendered":"https:\/\/www.myconstructionexpert.com\/blog\/?p=905997"},"modified":"2026-08-12T15:32:55","modified_gmt":"2026-08-12T21:32:55","slug":"artificial-intelligence-is-transforming-insurance","status":"publish","type":"post","link":"https:\/\/www.myconstructionexpert.com\/blog\/artificial-intelligence-is-transforming-insurance\/","title":{"rendered":"How AI is Transforming Insurance: Real Results, ROI, and the Road Ahead"},"content":{"rendered":"\n

Dan Reynolds | Risk & Insurance<\/a><\/p>\n\n\n\n

From submission intake to claims processing, artificial intelligence is delivering measurable results for insurers willing to embrace change. Success will depend on overcoming ingrained habits and adopting a more modular approach to technology.<\/em><\/p>\n\n\n\n

The insurance industry stands at a technological inflection point. After decades of relying on legacy systems, manual workflows, and tightly coupled platforms, carriers and brokers are increasingly turning to artificial intelligence to solve long-standing operational challenges. Yet while the technology offers significant promise, implementing it successfully requires more than just adopting new tools. It also demands a fundamental rethinking of how insurance organizations approach technology itself.<\/p>\n\n\n\n

\u201cThis is a pretty technologically abused industry,\u201d said Ryan Cantor, Chief Product & Technology Officer at Origami Risk. \u201cIt\u2019s pretty old tech. A lot of offline, a lot of on-prem, off-prem. If you want an update, it\u2019s going to cost you six figures to test regression.\u201d<\/p>\n\n\n\n

That reality is beginning to shift as AI creates new opportunities for insurers to modernize core processes, unlock efficiencies, and make smarter decisions at scale.<\/p>\n\n\n\n

Where AI is Delivering Tangible Results<\/h4>\n\n\n\n

According to Cantor, two areas stand out as producing the clearest, most measurable impact from AI<\/a> in insurance today: submission intake and claims processing.<\/p>\n\n\n\n

On the front end of the business, submission intake represents one of the most immediate opportunities for AI to drive revenue growth. \u201cThe single largest way to increase revenue is to increase your at-bats. That is, to weed through submissions based on your risk tolerance, your profiles, your scope of business, your niche, whatever it may be,\u201d Cantor said. Historically, this process has relied heavily on human labor, but AI excels at converting unstructured data into structured data.<\/p>\n\n\n\n

\u201cI joke about it: you could give me an application on a napkin, and I could probably turn it into a structured submission and allow you to make computer-smart, intelligent decisions at this point,\u201d Cantor said. That capability enables carriers and brokers to manage submission data proactively, model different risk scenarios, and expand their available universe of business without exposing themselves to unknown risk.<\/p>\n\n\n\n

On the other end of the spectrum, claims processing is being transformed by AI as well\u2014and not a moment too soon. \u201cThe workforce is aging. I have two children, and neither one of them is growing up dying to be a claims adjuster,\u201d Cantor said.<\/p>\n\n\n\n

AI is well-suited to enforcing complex claims guidelines, identifying fraud indicators, and triangulating disparate data sources. That last capability is increasingly critical, as AI is being used by bad actors to manufacture damaged vehicles or embellish hurricane damage on homes.<\/p>\n\n\n\n

\u201cNot only from a detection standpoint, but triangulating sources of data\u2014what was in the written statement, what was in the photograph, the direction of the house or the direction of the car that didn\u2019t quite align with the other car,\u201d Cantor said. \u201cIt\u2019s surpassing individual human capability.\u201d<\/p>\n\n\n\n

The alternative to AI, he noted, is adding more human checks and balances, which will drive up costs without necessarily improving quality. \u201cAI is great at needles in haystacks. If you have a 600-page internal guide or training material, AI will follow it if you train it properly. It doesn\u2019t talk back, doesn\u2019t take vacation, doesn\u2019t want to retire.\u201d<\/p>\n\n\n\n

The ROI Question: A Payback Period, Not a Question of Value<\/h4>\n\n\n\n

For insurance leaders wondering whether the investment in AI is worth the cost, Cantor\u2019s answer is direct: the ROI is there, but organizations need to approach it as a strategic investment rather than an immediate payoff.<\/p>\n\n\n\n

\u201cThe ones who are doing it and are committed, like anything, we\u2019re a core system. People make an investment in the core system for a future payoff,\u201d Cantor said. \u201cWhen we talk about AI, it\u2019s somehow, now they\u2019re gun-shy. Well, there is a future. You do have to train it. You have to dive in. For a little while, you\u2019re gonna carry your old cost. Because with AI, first you try, then you trust.\u201d<\/p>\n\n\n\n

Organizations that have committed to the investment are already seeing results. \u201cThe ones that do, or that were early movers, are absolutely seeing measurable ROI. It\u2019s a non-question that the ROI far surpasses the investment.\u201d<\/p>\n\n\n\n

The benefits extend beyond insurance-specific use cases as well. Data migrations and system conversions, which are historically expensive, time-consuming projects, can now be dramatically accelerated.<\/p>\n\n\n\n

\u201cIf I showed you the source data and it knows Origami Risk or whatever system you\u2019re going to, and I know what date formats it needs to be, and I know what the schema is\u2014that would historically have been millions potentially for some customers. Mapping the data, humans looking at it, transforming it, testing it, refining it. And AI can do it in a couple days.\u201d<\/p>\n\n\n\n

The Talent and Mindset Challenge<\/h4>\n\n\n\n

Despite the clear potential, implementation obstacles are real and they often have less to do with technology than with people and process. Cantor points to a shortage of insurance-minded professionals who are open to new ways of doing things.<\/p>\n\n\n\n

\u201cOur organizational challenge isn\u2019t necessarily finding insurance-minded individuals. It\u2019s finding insurance-minded individuals who aren\u2019t so ingrained that there was only one way to do it,\u201d Cantor said. \u201cBeing open to the idea that there is AI or different kinds of cloud technologies or serverless environments or queuing or more modular API-first approaches.\u201d<\/p>\n\n\n\n

The result, when the wrong people are brought in, is predictable. \u201cYou hire the same company or you hire the same person, and you kind of get what you\u2019ve always got. And you might get a new system or you might get a new implementation, but it\u2019s still suboptimal because it didn\u2019t really leverage all the technical capabilities that are now available.\u201d<\/p>\n\n\n\n

The problem is compounded by internal resistance to change. When a CEO sets a clear direction toward technology transformation, the people closest to the existing processes often push back. \u201cYou have an agency problem,\u201d Cantor said. \u201cYou\u2019re a CEO in an insurance company, you\u2019re hearing from your internal team: they can\u2019t do this, and they can\u2019t do that, and you\u2019re getting all the scare tactics.\u201d<\/p>\n\n\n\n

Cantor also warns against a superficial approach to AI adoption, i.e. simply layering it on top of existing broken systems.<\/p>\n\n\n\n

\u201cThe times where you\u2019re just connecting all your crappy systems together so that you could now pay a tax of AI to ask it a question to pull all that data together\u2026that\u2019s an IT tax. That is: You have really bad technology, and now you\u2019re paying more money on top of your money just so you can get them to talk to each other with AI in the middle of it.\u201d<\/p>\n\n\n\n

Failed implementations, in his view, often don\u2019t have to fail. \u201cThey failed because they were putting a square peg in a round hole as if the hole had to be round. You could change the hole to be square. It\u2019s your company\u2014do anything you want.\u201d<\/p>\n\n\n\n

Keys to Success: Focus on Outcomes and Embrace Modularity<\/strong><\/h4>\n\n\n\n

For insurance leaders looking to succeed with AI and modern technology, Cantor offered two key takeaways.<\/p>\n\n\n\n

First, focus on the outcome, not the journey. \u201cWhen you\u2019re evaluating any technology, focus on the output. Don\u2019t focus on the journey. Every software is going to be different and just be open to that ride,\u201d Cantor said. \u201cWhat people get in trouble is they say, here\u2019s the output I want, and then here\u2019s what every single step of that workflow needs to look like. Then what you get is going to look a lot like what you had.\u201d<\/p>\n\n\n\n

Second, and perhaps most importantly, embrace a modular approach to the insurance tech stack. That\u2019s the bet Origami Risk is making with its own platform, prioritizing drag-and-drop workflows, an API-first mindset, and the ability to plug in and connect to virtually anything.<\/p>\n\n\n\n

\u201cI\u2019ve been at Origami Risk for two and a half years, and I haven\u2019t seen even within the same line of business, two people want to do the same thing,\u201d Cantor said. \u201cTightly coupled policy administration systems or rating systems or form generation or rules engines inevitably leads to constraints.\u201d<\/p>\n\n\n\n

That modularity extends to AI itself. \u201cToday, you might use Origami Risk\u2019s out of the box AI, but you and I see the evolution. In five or ten years, every company may have their own AI models,\u201d Cantor said. \u201cIf you wanna be able to bring your own AI model, you should have the flexibility and the modularity to be able to plug and play.\u201d<\/p>\n\n\n\n

Looking ahead, Cantor sees the insurance industry moving decisively away from the closed, tightly coupled ecosystems of the past. \u201cThe world now is a little bit more modular, a little best in class. It doesn\u2019t mean you\u2019re being asked to just switch to a bunch of systems, but you are bringing data and insights and AI and specialty tools from a variety of places. And being able to kind of orchestrate that centrally is going to be really, really important.\u201d<\/p>\n\n\n\n

\n\n\n\n

When one of your cases is in need of a construction expert, estimates, insurance appraisal or umpire services in defect or insurance disputes – please call Advise & Consult, Inc. at 801.641.8304, or email experts@adviseandconsult.net<\/a>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Dan Reynolds | Risk & Insurance From submission intake to claims processing, artificial intelligence is delivering measurable results for insurers willing to embrace change. Success will depend on overcoming ingrained habits and adopting a more modular approach to technology. The insurance industry stands at a technological inflection point. After decades of relying on legacy systems,… Continue reading How AI is Transforming Insurance: Real Results, ROI, and the Road Ahead<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[10721],"tags":[9895,11331,22],"class_list":["post-905997","post","type-post","status-publish","format-standard","hentry","category-insurance","tag-advise-consult","tag-artificial-intelligence","tag-insurance","entry"],"jetpack_publicize_connections":[],"yoast_head":"\nHow AI is Transforming Insurance: Real Results, ROI, and the Road Ahead - 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