Insurers Urged to Prioritise Company-Wide Strategy as AI Adoption Surges
95% of UK insurers use AI for data ingestion, but only 41% have a dedicated AI lead. Clear strategy and governance are essential for consistent, effective AI adoption.
Strategic clarity needed to guide increasing AI uptake – Hyperexponential
Some 95% of UK insurers now use artificial intelligence (AI) to support their data ingestion processes. This insight comes from new research by software company Hyperexponential, released on 17 June 2025. Despite this widespread adoption, only 41% of companies have appointed a dedicated AI lead.
This lack of clear leadership is causing challenges in delivering consistent AI strategies across different departments and regions. The study also found that only 18% of respondents have well-developed and widely communicated AI validation and governance practices.
Embedding AI across the business
The research surveyed 350 professionals in the UK and US specialty and commercial insurance sectors. Amrit Santhirasenan, CEO of Hyperexponential, explains that while the integration of AI, especially in data ingestion, is promising, it must be coupled with strong governance.
He warns that without a clear strategy linking AI experiments to long-term business goals, organisations risk duplicating efforts or missing out on AI’s full potential.
“AI is not just a technology challenge. It’s a leadership, governance, and cultural challenge,” Santhirasenan says. “Insurers who succeed will treat AI as a company-wide priority, not a department-led experiment.”
Why this matters for insurers
- Consistent oversight: Clear governance ensures AI initiatives align with company objectives and regulatory requirements.
- Maximising value: Coordinated strategies help insurers avoid redundant work and capitalise on AI-driven efficiencies.
- Company-wide engagement: Broad leadership involvement fosters a culture that supports responsible AI adoption.
For insurance professionals looking to deepen their AI expertise, exploring targeted training can be beneficial. Resources like Complete AI Training’s job-specific courses offer practical guidance on integrating AI tools effectively within insurance workflows.
As AI becomes more integral to insurance operations, strategic clarity and governance will determine which companies move beyond experimentation to deliver real, sustainable impact.
