Marsh Unveils WorkBench to Accelerate Specialty Insurance Placement

Mashrukh Khan: Marsh has rolled out a new AI tool called Broker WorkBench that looks set to shake up how specialty risks get placed in the London market. The platform went live around 22 September 2026 and is designed specifically for Marsh’s UK specialty and wholesale business. Its main claim is ambitious: it can take placement times that currently average two to four weeks and compress them into days or even hours.

The system works by handling the heavy lifting of matching a risk to available capacity, kicking off negotiations and then binding cover with lead markets, digital followers or pre-arranged follow-form capacity. Importantly, every recommendation still has to be signed off by a human broker, so the technology sits firmly in a supporting role rather than replacing judgment. Andrew George, president of Specialty at Marsh Risk, described it as a significant investment in the firm’s AI capabilities, aimed at giving brokers better data-driven insights and more time to focus on clients. He said the platform should help reduce clients’ total cost of risk and strengthen their resilience.

Development was led by Marsh Risk’s UK Specialty team under Dominic Samengo-Turner. The company has indicated that Broker WorkBench will eventually become the standard route for all its UK specialty and wholesale placements into London. That scale commitment sets it apart from smaller pilot projects elsewhere in the market.

Industry observers note that London has already seen a steady push toward digital placement, with platforms such as Whitespace handling a large share of binding. Broker WorkBench builds on that foundation by bringing earlier stages of the process – submission, matching and initial pricing – into a more automated environment. Reports in Insurance Journal and Insurance Business both highlighted the speed claims and the fact that broker approval remains mandatory.

Whether the tool delivers the promised time savings at volume will become clearer over the coming months. For now it represents one of the more concrete attempts by a major broker to apply generative AI to the complex, relationship-driven world of London specialty placement. If it works as advertised, clients should see faster responses and brokers should spend less time on routine administration.