Making AI work in insurance
Artificial intelligence is reshaping expectations across the insurance industry, but many firms remain at the early stages of adoption. While some are pursuing ambitious transformation programmes, others are focusing on practical applications that can deliver immediate operational benefits.
In a recent webinar hosted by Insurance Post in association with Hyland, industry experts discussed how insurers can build confidence in AI, identify high-value use cases and create a foundation for wider adoption across the business.
Insurers’ AI progress
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plan to implement generative AI within three years
of use cases focus on productivity and operational efficiency
of European insurers already use generative AI
65%
23%
64%
*Source: EIOPA Gen AI report Feb 2026
Discussion themes
Building momentum
Many insurers have begun exploring AI tools, but relatively few have embedded them into core business processes. What separates successful adoption programmes from stalled pilot projects?
Workflow value
From document processing and onboarding to underwriting support and customer service, where are insurers seeing the greatest operational gains?
Scaling adoption
Successful AI adoption requires more than technology investment. How can insurers develop the skills, governance and organisational support needed to scale AI effectively?
Future workforce
As AI becomes embedded within insurance operations, how will roles evolve and what new skills will organisations need to develop?
The panel
Clare Knight,
Managing director, Bspoke Underwriting
Jonathan Whitear,
Speciality sales, EMEA and APAC, Hyland
Scott McGee,
Deputy editor, Insurance Post
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1. Hesitance around AI
Chapters
2. Benefits of first-stage adoption
3. Building confidence
4. Overcoming stumbling blocks
6. Keeping pace with AI
7. Ensuring accurate fixes
8. Insurance use cases
9. Agentic AI accountability
What is the biggest challenge your firm faces in its digital transformation journey?
Q
Legacy systems
Siloed data
Regulatory complexity
Lack of a clear digital strategy
Shortage of skilled resources
Cultural resistance to change
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Thank you
Hesitance around AI
Chapter 1:
Benefits of first-stage adoption
Chapter 2:
Building confidence
Chapter 3:
Overcoming stumbling blocks
Chapter 4:
Prioritising processes
Chapter 5:
Keeping pace with AI
Chapter 6:
Ensuring accurate fixes
Chapter 7:
Insurance use cases
Chapter 8:
There’s a lot of ‘moonshotting’, when the real benefit of AI is at the other end of the spectrum.
Jonathan Whitear, Hyland
5. Prioritising processes
10. AI and the future of work
AI and the future of work
Chapter 10:
Agentic AI accountability
Chapter 9: