At last year’s industry conferences, including Guidewire Connections 2025, the excitement around AI in insurance was evident. Fast forward to today, and that enthusiasm has translated into action. The result is not just talk of AI’s potential; actual Generative AI-powered features are now in insurers’ hands, driving tangible improvements in pricing agility, underwriting precision, and claims outcomes.
From a pricing and underwriting perspective, Generative AI is already being used to automate traditional manual tasks, generate insights in plain language, and assist teams in decision-making:
Generative AI-powered automated model ingestion:
Insurers can now convert complex pricing models built in spreadsheets directly into externalized solutions. Generative AI algorithms interpret and ingest spreadsheet-based rating logic, eliminating the need for tedious manual re-coding. This means a pricing model created in Excel by an actuary can be seamlessly transferred into enterprise environments in minutes.
The payoff is rapid access to advanced analytics and deployment capabilities, shortening the time to operationalize new models without the usual overhead of rebuilding models from scratch.
AI-driven analytical workflows:
Insurers can enrich and orchestrate analytical processes automatically by leveraging existing deterministic tools that AI can direct. This allows an insurer’s AI to perform tasks such as running rate simulations, segment evaluation, and end-to-end pricing assumption updates. By letting AI directly drive workflows, organizations achieve new levels of efficiency and consistency, and routine analysis can be automated, freeing up humans to focus on interpretation and strategy.
Generative AI analytical agents for insights:
These provide insurers with a fast, conversational way to understand what’s happening in the business. Powered by Generative AI, agents continuously sift through performance data to identify emerging trends, anomalies, and underlying drivers in an insurer’s portfolio. They proactively highlight segments showing unexpected loss ratio deterioration or growth opportunities and explain the underlying causes in plain language.
Instead of poring over dashboards, users can simply ask the AI agent questions about portfolio results and get instant answers. This capability delivers early, actionable insights—essentially an always-on analyst that monitors experience and flags what needs attention.
Generative AI copilot for collaboration:
Collaborative AI assistants can be designed to elevate team performance and share expertise. They can act as a coach within analytics platforms, guiding users (especially less experienced actuaries or underwriters) through complex tasks and suggesting best-practice approaches. Copilots can answer users’ questions about how to implement a specific pricing strategy or remind them of regulatory requirements, drawing on the wealth of institutional knowledge.
By facilitating knowledge transfer and coaching in real time, they can boost the quality of output across individuals and teams and help standardize excellence by making expert know-how accessible to all, thus promoting consistent best practices in model building, rate deployment, and analysis across the organization.
These innovations are more than just software features—they are reshaping how insurers do business and compete.
Radar™ 5 has these built-in capabilities, embedding intelligence and automation into the heart of the pricing and underwriting process. It allows insurers to respond to market signals with unmatched speed, accuracy, and insight. Tasks that once took days or weeks of manual effort (like translating a new pricing plan into production or combing through data for trend analysis) can now happen in a fraction of the time, with greater sophistication. The net effect is that insurers can adapt faster to emerging experience and execute decisions with greater precision—a decisive competitive advantage in today’s market.
WTW’s heavy investment in AI is already delivering powerful capabilities to clients—capabilities that directly influence insurers’ top and bottom lines. For example, by automating model ingestion and workflow, insurers can react faster to emerging loss experience (updating rates or underwriting rules in near real time) and capture opportunities sooner.
By using Radar’s AI agent to continuously monitor portfolio health, companies can catch unfavorable trends (like rising claims in a segment) early and take corrective action before losses mount. And by leveraging the Copilot and other intelligent aides, firms can raise the game of their talent across the board, ensuring that knowledge and best practices are shared widely rather than siloed.
All of this is delivered within Radar’s secure, governed environment, ensuring that AI augments human decision-makers in a controlled and transparent manner. Insurers can thus innovate rapidly without sacrificing governance or auditability—a critical factor in a regulated industry.
WTW’s Radar 5 marks a new era of insurance analytics: one where AI is embedded at the core to help insurers act faster, with greater insight, and in a more unified way. The excitement around AI has evolved into delivered capability—and insurers are already reaping the benefits.
With hundreds of insurers globally on board, Radar’s Generative AI innovations are scaling across markets and lines, heralding a future where pricing and underwriting are not just performed by experts supported by tools, but by experts augmented with intelligent tools.
This combination of human expertise and artificial intelligence is powerful: it means better decisions, stronger results, and a sustainable competitive edge.
