WTW launches AI workforce transformation tool for insurers

WTW is pushing insurers and brokers past the usual AI demo phase and straight into operating-model surgery. Its AI Workforce Transformation solution, launched June 2 in New York and London, is built to show where AI should sit inside the business, which jobs need redesign, and which tasks should disappear, shift or stay human.

The pitch is blunt: AI only pays off when carriers rebuild the work around it. WTW says the offering uses proprietary data on jobs, skills and work processes, then applies two AI-enabled diagnostics, WorkVue Agent and ChangeVue. WorkVue Agent maps automation potential across jobs, while ChangeVue flags the areas most ready for adoption, the kind of prioritization insurers need when they are trying to improve quote speed, claims cycle time, service availability and underwriting precision at the same time.

That matters because P&C insurers have spent two years talking about AI in the abstract and are now being judged on execution. WTW’s own insurance research says AI opportunities run across product design, marketing, underwriting, pricing, claims reserving and customer service. In practice, that means the hard questions are not whether a model can read a submission or summarize a claim file, but which roles get reworked, what gets automated, what gets elevated to judgment-heavy specialists and how cycle time, straight-through processing and decision quality will be measured.

The solution is also wrapped in change-management language, which is probably the right move. WTW says the package includes work redesign, skills alignment, rewards and employee adoption, a sign that this is meant to be more than another software layer bolted onto a legacy workflow. Suzanne McAndrew, WTW’s global Employee Experience business leader, and Shai Ganu, its global Executive Compensation and Board Advisory practice leader, are co-leading the research and solution. Julie Gebauer, president of WTW Health, Wealth & Career, said the offering gives C-suite leaders the evidence they need to add AI where it drives productivity and growth. Ganu said boards need precision, not more theory on AI.

The timing lines up with a harsher reality inside insurance. WTW said in 2024 that 35% of work would be done by automation in three years, nearly double the level from three years earlier. In January 2026, the firm said AI’s impact on work had intensified and workforce risks such as burnout, job insecurity and financial stress were rising. Against that backdrop, McKinsey’s warning in 2025 that only a few insurers have extracted outsize value from AI, and Boston Consulting Group’s estimate that just 7% successfully scale pilot efforts, sound less like commentary and more like a verdict. WTW is betting the next wave of AI buying will look less like experimentation and more like redesign.