Guidewire launches agentic AI platform for insurers

Guidewire has launched a new platform approach to agentic insurance, designed to support AI use across the insurance lifecycle.

The software provider is positioning the release as a way for insurers to move from limited AI pilots to systems more closely tied to core underwriting, pricing and claims processes. The platform combines applications, data, workflows and controls in one environment.

Guidewire said its agents run on the same platform as its core insurance applications and use an insurer's existing data and workflows. This is intended to give insurers clearer control over what AI systems can access and do, while maintaining audit trails and security boundaries.

"Insurance is a business of decisions and actions made in context," said Mike Rosenbaum, Chief Executive Officer, Guidewire.

"By embedding agentic capabilities where insurers already run their core operations, Guidewire gives agents the context and controls they need to work with speed and precision on a proven durable foundation," Rosenbaum said.

Guidewire outlined a range of tools across underwriting and claims. In underwriting, these include Advanced Product Designer, PricingCentre, Risk Accumulation App, UnderwritingCentre and ProNavigator. The products are intended to help insurers bring products to market more quickly, move pricing models into production faster, assess portfolio exposure and support underwriters with submission summaries and suggested next actions.

On the claims side, it highlighted Concierge, ProNavigator and its Workers' Compensation Solution. These are aimed at helping claims teams capture loss details, surface file summaries and risk indicators, and connect claims work with digital tools and AI support.

"We took a platform approach to AI, so agents run on the same platform as the core, with access to an insurer's context, data, and workflows," said Diego Devalle, Chief Product Development Officer, Guidewire. "The scalability and observability that already support the core now support agents too. That is why insurers can put them to work on live claims and policies, and why developers can build on the same open foundation."

Claims focus

Guidewire also used the launch to emphasise claims handling, where speed and judgement can affect customer outcomes and costs. It said its AI functions sit within ClaimCentre workflows from first notice of loss through adjudication and related processes.

"A claim goes faster when adjusters have the facts from the start," said Amy Mollin, Vice President, Product Management, Guidewire. "We built agents into ClaimCentre, where the work already happens, to capture the loss, summarise the file, and flag risk. That gives adjusters time back for the decisions and conversations that matter most to claimants and injured parties."

Industry analyst Celent said insurers are looking for ways to shift AI from experimentation to operational use. Karlyn Carnahan, Executive Partner, Celent, said the challenge is making such systems work inside the software and workflows insurers already rely on.

"Insurers are moving beyond AI experimentation and looking for ways to put agentic AI to work across the insurance lifecycle," said Karlyn Carnahan, Executive Partner, Celent. "The next challenge is making these capabilities work within the systems and workflows that run the business. That is where the platform matters. By connecting agents to core data and processes, Guidewire gives insurers a practical path to deploy them in production with the controls they need."

Data and tools

Guidewire also set out the technical components behind the launch. These include an Agentic Framework for using Guidewire-built or customer-built agents, Developer Assistants for coding and workflow changes, DevSpace cloud development environments, and the Guidewire Data Platform for combining policy, claims and billing data.

It said Data Studio and Explore provide curated property and casualty datasets, while Kaleidoscope supports predictive models trained on an insurer's own portfolio and, where needed, industry and third-party data. Guidewire added that federated learning allows models to train where data already sits rather than requiring records to be moved.

One customer cited software development as an early use case. "Innovation is about reimagining how work gets done and giving our people the capabilities to make that possible," said Tatjana Lalkovic, Chief Technology Officer, Definity. "Guidewire Developer Assistants bring relevant context directly into the development process, helping our teams move from idea to implementation faster while keeping human judgment and our standards at the centre. It's a great example of how we're using AI to increase the pace of innovation and deliver value to our business, brokers, and customers sooner."

Guidewire said it is also using AI in its professional services work, including migration and implementation activity for customers. This has reduced implementation timelines and allowed insurers to deploy new tools to underwriting and claims teams more quickly.

Some of the announced features are available only to early access customers or remain on the product roadmap.