‘The insurers who succeed will be those who treat it as a company-wide objective, not just a department-led experiment,’ says chief executive
Some 95% of UK insurers are using artificial intelligence (AI) to aid with their data ingestion processes.
This is according to research from software company Hyperexponential, released today (17 June 2025), which also revealed that despite the proliferation of AI, only 41% of respondents stated that there was a dedicated AI-lead at their company.
Hyperexponential said that the fragmentation was “creating challenges when it comes to delivering consistent AI strategies across departments and regions”.
Surveyees also highlighted concerns with AI governance, with only 18% of respondents saying their AI validation and governance practices are “highly developed and widely communicated”.
Embedding AI
The study, conducted in partnership with independent research company Coleman Parks, surveyed 350 professionals in the UK and US specialty and commercial insurance industries.
Read: Gulf in AI adoption opening between national and regional brokers
Read: Over one-third of London market firms use AI, but concerns hinder adoption
Explore more artificial intelligence related stories here, or discover other news analysis stories here
Amrit Santhirasenan, chief executive at Hyperexponential, said: “It’s encouraging to see insurers embedding AI into their operations, especially around data ingestion, which is a vital step towards truly intelligent automation.
“However, implementation without thoughtful, proportional oversight creates risk. Without a clear strategy that links experimentation with long-term goals, organisations could end up repeating work or missing out on the full benefits of AI.
“The message is clear – AI is not just a technological opportunity and challenge. It’s a leadership, governance and cultural challenge and the insurers who succeed will be those who treat it as a company-wide objective, not just a department-led experiment.”

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
No comments yet