WTW Enhances RiskAgility Financial Modeller with Advanced Agentic AI Capabilities

WTW has introduced a semi-autonomous AI Assistant for its RiskAgility Financial Modeller (FM) platform, designed to automate complex actuarial tasks. For life insurers and reinsurers, this shift from simple code generation to agentic modelling aims to drastically reduce the time and specialist expertise required for model migration and financial reporting compliance.

What was announced

WTW has introduced a next-generation AI Assistant for its RiskAgility Financial Modeller (FM) platform, a tool central to life insurance modelling and financial reporting. The update integrates semi-autonomous agentic capabilities, moving the platform’s utility beyond simple natural-language queries or basic code generation. This allows actuarial teams to delegate complex, multi-step assignments within a controlled environment that maintains strict governance standards.

The AI Assistant is designed to handle tasks that typically require significant manual intervention. When presented with new product specifications, methodology changes, or migration requirements, the assistant can interpret the data, plan the necessary workflow, and adapt or build the model accordingly. It is capable of executing test runs, investigating issues that arise during the process, and documenting the entire outcome for final review by human experts.

Key applications for the tool include transforming model migrations, implementing regulatory changes consistently, and performing regression and sensitivity tests. By treating these tasks as connected assignments rather than isolated prompts, the assistant aims to address the high costs and time constraints associated with validating complex models on new systems. This functionality is intended to help insurers assess product changes more rapidly and respond to reporting requirements with greater agility, while ensuring that final actuarial judgment remains a human-led process.

"AI assistance in modelling is rapidly becoming commonplace. The real differentiator is no longer whether AI can answer natural-language questions or generate code, but whether it can deliver a coherent modelling outcome – from interpreting an unfamiliar specification and planning the required work to producing evidence ready for actuarial review."

Mark Brown, Global Proposition Lead, Life Financial Modelling, Insurance Consulting and Technology, WTW

The companies involved

WTW, listed on the NASDAQ, is a global institutional provider of advisory, broking, and solutions. The firm operates extensively within the insurance and reinsurance sectors through its Insurance Consulting and Technology (ICT) business. This division provides the software and analytical tools that underpin the financial operations of major carriers worldwide. RiskAgility Financial Modeller (FM) serves as the flagship platform for life insurance modelling, designed to handle the rigorous demands of financial reporting, capital management, and product development.

The company’s market position is defined by its ability to combine deep actuarial expertise with proprietary technology. By maintaining a global footprint, WTW supports insurers in navigating complex regulatory environments and volatile market conditions. The integration of advanced computational tools into their existing software suite reflects a broader corporate strategy to modernise legacy actuarial processes. As a major vendor to the global insurance industry, WTW’s technological updates often set the benchmark for how carriers manage risk and report financial health to regulators and shareholders.

What FF News has reported before

FF News has closely followed WTW’s recent strategic moves across both its technology and brokerage divisions. The firm recently expanded its leadership team in North America, as seen in WTW Appoints Darrel Beaton as Director of Underwriting to Scale North American P&C Operations. In the consumer space, the company has pursued geographic expansion through partnerships, including the report that WTW Egypt and Kanoo Travel Partner to Launch Innovative Travel Insurance Solutions.

The publication also covered WTW’s market intelligence and data-driven platform launches. This includes analysis of pricing trends in Commercial Property Insurance Rates See Sharpest Decline in a Decade: WTW Report. Furthermore, the firm’s commitment to centralising risk data through automation was highlighted when Willis Launches RiskIQ Nexus: AI-Powered Platform to Centralize Global Risk Data, a move that parallels the current focus on agentic AI for financial modelling.

What this means from an insurtech perspective

From an insurtech perspective, this move signals a transition from "generative" AI to "agentic" AI within the core of the insurance value chain. For years, the industry has struggled with the "black box" problem of AI in underwriting and claims; by embedding these capabilities within a governed platform like RiskAgility FM, WTW is attempting to solve the trust gap for actuaries. The pressure now shifts to incumbent legacy core-system vendors who lack the integrated AI capacity to automate multi-step model migrations. If carriers can compress the time needed for regulatory validation, the traditional advantage of large, manual actuarial teams may diminish, favouring firms that can deploy capital faster through automated, yet governed, financial modelling.