
At Helvetia France, renewal decisions are made across portfolios of insured sites, each with its own risk profile.
For every renewal cycle, brokers receive large volumes of documentation describing fire risk and other exposures. The information is detailed, technical, and often inconsistent in structure.
What makes the process difficult is not the volume alone, but the combination of:
Before any decision could be made, this information had to be read, interpreted, and mentally structured by the broker.
The work required experience and attention, which made it difficult to standardize.
As the number of sites increased:
The limiting factor was not access to data, but the effort needed to make it usable.
With KAPTO AI, risk documentation is now processed as it arrives, and the information is made available in a structured form.
For each insured site:
Brokers no longer start from raw documents. They work from a consistent representation of risk across cases.
Renewal evaluation no longer scales linearly with volume.
Helvetia France now manages complex renewal cycles with greater control, even as the number of insured sites and documents continues to grow.
“What matters most is working with someone you can trust. You’re not testing a tool, you’reputting something into production that your teams will rely on every day. A lot of solutions look good in a demo, but that’s not the hard part. The real challenge is making it work in production, with all the constraints that come with it. That’s where our experience with KAPTO made the difference, it was something that actually worked in a real operational environment.”
- Alexis Cordero (AI, IOT & Tech Innovation Leader, Helvetia France)