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AI & RMI Weekly
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AI data quality matters more than volume. Construction claims industry sees AI maturation. Brokers p
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By The Institutes ● Mar 05, 2026
AI data quality matters more than volume. Construction claims industry sees AI maturation. Brokers prioritize back-office AI over hype. Contextual AI reshapes insurance decision-making processes.
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ITL: Is AI-Based Data Overwhelming Insurers?
AI is delivering high-quality information to insurers, but the sheer volume of available data risks creating more confusion than clarity, according to Dr. Michael Bewley, vp of AI & Computer Vision at Nearmap, in an interview with Insurance Thought Leadership.
The big picture: While AI applications like aerial imagery for property assessment have matured and proven reliable, the explosion of data sources — combined with emerging technologies like generative AI — requires insurers to carefully evaluate quality and trustworthiness rather than simply accumulating more information.
Conversation highlights:
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On data volume: “Just having so much more data today doesn’t necessarily make for good decisions in and of itself,” Bewley said. “Volume can actually be a detractor because you get lost in the noise.”
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On the core challenge: “In the AI space, the challenge is sifting the signal from the noise,” he said. “Insurers are being bombarded by a huge range of information from different vendors and open information out there on the Web.”
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On GenAI adoption:“GenAI opened up a new world. It is absolutely revolutionary. I think it’s on the level of the internet being invented or the personal computer. So you definitely don’t want to sit by and say, ‘Well, I’ll wait and see what happens,’ or ‘This one’s not for me.’ You’ve got to get involved. But as with the personal computer and the internet coming online, there's uncertainty about how to use it,” Bewley said.
Go deeper: Read the full interview on the Insurance Thought Leadership website.
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While automation has streamlined repetitive tasks, the next wave of insurance transformation is here: AI agents that don’t just execute — they think, learn, and adapt. Join Brianna Connelly, Vice President of AI Engineering & Data Science at Zywave, for an insightful webinar exploring how intelligent AI agents are revolutionizing insurance workflows. Register for this March 11 webinar today.
Sponsored by Insurance Thought Leadership
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CLM: AI Reaches Adolescence in Construction Claims Industry
Artificial intelligence in construction-defect and general liability claims has evolved to operate like a skilled 17-year-old: sharp, inconsistent, and developing faster than the industry around it can fully appreciate, according to Terence Kadlec of MC Consultants Inc. and Steve Lokus of Sompo, writing in CLM Magazine.
The big picture: AI’s failures generate headlines and anxiety, but these missteps represent learning moments for a technology that’s maturing faster than most professionals appreciate.
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The construction claims environment — with its technical complexity, conflicting expert opinions, and constantly changing documentation — serves as an advanced testing ground for AI’s developing capabilities.
Zoom in: AI’s practical applications in 2026 span multiple levels of the claims ecosystem.
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At the carrier level, systems identify recurring defect patterns across service lines and detect unexpected cost inflation in specific regions.
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In claims handling, AI maps complex multi-building files like a junior associate who has retained every key insight.
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For litigation support, AI tracks the evolution of testimony across depositions and identifies contradictions between witnesses and experts.
The takeaway: Construction claims professionals must decide now what kind of adult they want AI to become as it transitions from experimental technology to an embedded workforce partner.
Go deeper: Read the full article on the CLM Magazine website.
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Insurance Brokers Get Real About AI ROI
Insurance brokerages are shifting from AI hype to strategic implementation, prioritizing back-office automation over flashy front-office tools as they seek measurable returns, according to Leaders Edge.
The big picture: Early enthusiasm for AI is giving way to careful cost-benefit analysis, with brokerage firms discovering that unglamorous middle- and back-office applications — like policy checking and certificate processing — deliver better financial returns than customer-facing tools.
What they’re saying: “Early signs are pointing to organizations struggling to attribute material value from AI because they’ve failed to embed it into core processes alongside rigorous frameworks that demand impact,” said Benjamin Funk, chief AI officer at Acrisure.
Yes, but: Precise ROI measurements remain elusive for most firms, with benefits often measured in process efficiency rather than hard dollar savings. A McKinsey report noted that “only a few insurers have extracted outsize value from AI to gain a competitive edge.”
The takeaway: To extract real value from AI, insurance brokerages must look past the hype and embed the technology into their core, data-intensive operational processes.
Go deeper: Read the full story on the Leaders Edge website.
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Insurance Turns to Contextual AI For Better Decisions
Insurers are shifting from basic automation to contextual AI systems that aggregate multiple data streams to support complex underwriting, claims and fraud decisions, according to Tim Queen and Craig Weber of Cognizant, writing in Carrier Management.
The big picture: Traditional AI tools lack persistence, transparency and the ability to replicate human intuition. Contextual AI addresses these gaps by considering a broader range of inputs — from policy history and service requests to social media data — to power more nuanced decision-making that regulators and customers demand.
How it works: Implementing contextual AI requires insurers to take several critical steps:
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Build cross-functional teams that blend AI expertise with deep insurance knowledge across underwriting, claims and actuarial functions.
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Integrate fragmented data from core systems like policy administration, claims and CRM platforms with unified real-time access.
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Layer in additional context from both public and internal sources while implementing security measures like role-based filters to prevent prompt injection attacks.
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Align with regulatory guidance such as the NAIC Model Bulletin, focusing on transparency, fairness and accountability.
The takeaway: Early-moving insurers pursuing contextual AI are positioning themselves for competitive advantages through improved decision quality, faster claims processing and previously invisible opportunities for customer growth.
Go deeper: Read the full story on the Carrier Management website.
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Designation Overview: Associate in Insurance Operations (AIO™)
The Institutes Designations’ Associate in Insurance Operations (AIO™) equips insurance professionals with practical skills to enhance operations, support clients, and streamline processes across underwriting and claims functions.
Who’s it for: AIO is designed for professionals looking to strengthen their foundation in insurance operations:
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Insurance operations staff seeking to understand claims and underwriting processes.
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Client-facing professionals aiming to improve service delivery.
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Team members who prepare commercial account submissions and insurance documents.
Skills gained: The AIO designation develops practical abilities that can be immediately applied:
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Navigating insurance policies to determine coverage and explain decisions to clients.
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Streamlining commercial account submissions for thorough client transactions.
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Building effective relationships with internal and external stakeholders.
What it takes: The program is designed for efficiency and practical application:
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4 total requirements: 3 core courses plus an ethics course.
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100% online learning with virtual exams for all courses.
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3-6 months to complete the full program.
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Average course completion time: 6-9 hours.
Upon completing the AIO, you’ll receive both a mailed diploma and a digital badge to showcase your achievement on social media and in your professional communications.
Go deeper: Learn more about the Associate in Insurance Operations (AIO™) designation and access a free sample course to see if it’s the right fit for you.
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