Claims software shifts toward AI ecosystems, analytics and video intelligence

The new claims stack is being built around integration, not isolation

Claims software is moving past the old promise of one platform that does everything. The more interesting shift now is the stitching together of AI, analytics, communication tools, and video evidence so carriers can handle claims faster and with a cleaner audit trail. Claims Journal’s Claims Tech roundup put that change in sharp relief by showing three very different products converging on the same idea: the claim lifecycle works better when software helps decide, summarize, verify, and document, not just store files.

That matters because claims teams are being asked to do more than process cases. They need decision support, operational prioritization, and defensible records, all without slowing adjusters down. The common thread across the newest tools is simple: reduce manual work where the work is repetitive, and preserve human oversight where judgment still matters.

Sedgwick’s Omni pushes AI deeper into the workflow

Sedgwick formally introduced Omni on May 4, 2026 at RISKWORLD 2026, and the company framed it as an integrated digital ecosystem for claims and risk management. That framing is the key detail. Omni is not being pitched as just another claims app, but as a system that combines Sedgwick’s data set with AI and machine learning to drive predictability, repeatability, and consistency across the full claim lifecycle.

The practical functions Sedgwick named are the ones claims teams actually feel day to day: document and call summarization, digital triage, severity modeling, automated reserving, fraud detection, and quality oversight. In other words, Omni is designed to sit inside the work, not beside it. Mike Arbour, Sedgwick’s CEO, described it as an expert-led, AI-assisted ecosystem that blends machine-scale intelligence with a people strategy, which is a useful signal of where the category is heading.

The real significance is that claims software is becoming a decision layer. Instead of only recording what happened, platforms like Omni are being asked to surface trends, flag risks, and steer attention toward the files that need the most urgency. For carriers, that can change how adjusters spend the day, how managers review severity, and how consistently the organization responds to incoming loss activity.

Verisk is making analytics conversational, but still governed

Verisk took a different route, and it may be just as important. On May 5, 2026, the company said its trusted insurance analytics are available inside Anthropic’s Claude family of models through standardized Model Context Protocol connectors. That means users can ask questions in plain language while still working inside a governed environment, rather than exporting data into a loose, unstructured chatbot experience.

The launch included two connectors: Verisk Underwriting Intelligence, also known as ISO Indications, and Verisk Property Estimating Intelligence, known as XactRestore. Those names matter because they point to the specific workflows Verisk is targeting, underwriting and property restoration, not some abstract AI demo. The value here is speed without giving up controls, which is exactly why regulated users are paying attention.

The standard underneath the integration is important too. Anthropic introduced the Model Context Protocol in November 2024 as an open standard for connecting AI assistants to the systems where data lives. That helps explain why MCP is showing up as a practical integration layer, not just a chatbot feature. In a claims environment, that kind of connector can shorten the distance between a question and a usable answer while keeping the data source, governance, and human decision-making intact.

TruVideo treats video as evidence, not just convenience

TruVideo’s Clarity adds a different kind of intelligence to the mix: video. The company expanded the product into insurance on May 11, 2026, and positioned it around underwriting accuracy, operational efficiency, and better claims outcomes. Its pitch is straightforward and useful, because video can do what photos and notes often fail to do, show context.

With Clarity, applicants and policyholders can submit guided-capture videos remotely, giving underwriters and claims teams a way to review property conditions without a site visit. TruVideo says the system can also document baseline conditions at policy inception, which is a big deal when disputes arise later over preexisting damage. That is the kind of pre-loss evidence that can save time, reduce argument, and make the eventual claim file harder to challenge.

The controls around the media are just as important as the capture itself. TruVideo says Clarity includes secure media management, role-based access controls, timestamps, metadata, and chain-of-custody controls. It can be embedded into existing systems, delivered as a branded mobile app, or used through no-app instant capture links, which makes it flexible enough to fit different carrier workflows. TruVideo’s insurance page also puts a hard number on the problem, estimating fraud costs across all lines at $80 billion to $100 billion annually, a reminder of why defensible evidence is getting renewed attention.

The intake layer is going conversational too

The roundup’s broader market context also pointed to insured.io, which launched Claims AI on May 13, 2026. The product is built to automate First Notice of Loss across voice and chat and to submit claims in real time into an insurer’s core or claims system. That makes it part of the same ecosystem story, because it modernizes intake without forcing a carrier to rip out existing infrastructure.

insured.io also said Claims AI supports English and Spanish out of the box, which matters for real-world intake operations where language access can affect speed and completeness at the front door. For mid-sized carriers especially, that kind of setup can be more practical than a full system replacement. It lets them improve the first mile of the claim while keeping their back-end claims stack in place.

What the market is really telling carriers

Taken together, these launches point to a clear operating model. Carriers are not waiting for a single heroic claims platform to solve everything; they are inserting AI, governed analytics, and video evidence into narrow, high-value points where they can cut cycle time, reduce leakage, and improve customer experience. The software that wins will not just be smart, it will fit cleanly into the way claims are actually handled.

That is why integration is becoming the differentiator. Sedgwick is folding AI into the workflow, Verisk is making analytics conversational through MCP, TruVideo is turning remote video into structured evidence, and insured.io is automating intake across voice and chat. The stand-alone feature is no longer enough. The real advantage now lives in the ecosystem around the claim.