Scaling AI in insurance: Insly report reveals 8 key decisions that count

Insly’s report outlines eight critical decisions MGAs and insurers must make to move from AI experimentation to real scalability. Download the full report below.

For MGAs and insurers, the case for AI has been won. The challenge now is scaling AI in insurance. However, moving from experimentation to real transformation isn’t easy. In fact, BCG found last year that only 7% of insurance companies had successfully scaled AI across their organisations.

Why AI decisions are so hard to get right

Implementing AI into established insurance processes and systems doesn’t come easy. Even when the technology is as powerful and transformative as AI, making the right decisions at the right time can make or break success. As a result, many promising projects stall before they deliver value.

The gap between piloting and scaling

Plenty of MGAs and insurers can point to a successful AI pilot. Far fewer, however, have embedded AI into the processes that run their business day to day. That gap is where most transformation stalls. Therefore, closing it is less about the technology than about the decisions made around it.

Meanwhile, Insly’s latest report helps MGAs and insurers overcome some of the biggest obstacles to moving beyond AI experimentation, embedding it into core processes to deliver real business impact.

The 8 decisions that matter

Readers will learn about the 8 key decisions that every MGA and insurer needs to make when embarking on AI transformation, including:

  • Where to deploy AI for maximum impact
  • How to integrate it into existing systems and workflows
  • How and where to keep a human in the loop
  • Build in-house or with partners
  • How to measure success

 

Lessons from MGAs already scaling

The decisions in this report are not theoretical. For example, Accelerate Underwriting built a lucrative niche MGA on the right technology foundations. Similarly, Renovation Underwriting simplified policy admin to launch new products faster. Together, they show what becomes possible once the groundwork is right.

Ultimately, scaling AI in insurance means staying focused on what really matters and being decisive where it counts. So download our new report and start making the AI decisions that matter.