‘Anybody who works in the insurance industry will have experienced the frustration of having to work through multiple systems, requiring the same details to be added again and again,’ says founder
A new end-to-end underwriting platform for the MGA market has been launched.

Called Bertie, the platform aims to streamline underwriting practices “across the full placement process from submission ingestion, to underwriting and pricing, policy document issuance, cash-matching and bordereau production”.
It was founded by former Aspect chief technology officer Luke Aitkins, who said the platform was built around Lloyd’s standards and included a real-time rating engine inspired by the Core Data Record (CDR) and Market Reform Contract (MCR).
The platform also makes use of a single capture system, which Aitkins said improved underwriting efficiency by making data available across multiple screens, forms and platforms without replication.
Frustrating systems
Aitkins said: “Anybody who works in the insurance industry will have experienced the frustration of having to work through multiple systems, requiring the same details to be added again and again.
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“Or starting a process in one platform then having to migrate to another to complete. Despite the hype around insurtech, it can sometimes feel as though our industry technology is lagging behind.”
He continued: “We built Bertie to challenge this. Our platform is the first truly end-to-end platform in the market, giving underwriting and operations teams access to the whole process and meaning they can progress smoothly from submission ingestion to cash-matching and bordereau production with one sign-in and on one platform.
“This is going to save MGAs across the world huge amounts of time in terms of admin and data input and allow them to focus on what they do best, delivering for brokers and their clients.”

He graduated in 2017 from the University of Manchester with a degree in Geology. He spent the first part of his career working in consulting and tech, spending time at Citibank as a data analyst, before working as an analytics engineer with clients in the retail, technology, manufacturing and financial services sectors.View full Profile











































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