Biba unveils AI guide to help brokers seize opportunities and manage risks
Biba has launched a guide to help insurance brokers integrate AI safely and comply with regulations. It offers practical advice, real examples, and highlights legal and ethical considerations.
Biba launches guide to help brokers use AI effectively
Biba has released a new guide aimed at helping insurance brokers understand how artificial intelligence (AI) can be integrated into their businesses. The resource is available exclusively to Biba members and has been created by professionals experienced in applying AI within insurance.
The guide outlines practical ways AI can be used, highlights regulatory, legal, and compliance factors, and encourages brokers to consider the benefits AI might bring. At the same time, it warns that AI is not a cure-all for customer service challenges.
Contributions from across the insurance sector
Input for the guide comes from a range of companies including Markel, Gallagher Re, PIB, FullCircl, Romero, CFC, and Cyxcel. Their real-world examples show how AI is currently being applied in insurance operations.
Insights from Biba and Markel leadership
Biba’s chief executive, Graeme Trudgill, said: “AI adoption is moving fast. We want to help members grasp both the opportunities and risks it presents. The AI genie is out of the bottle, so our goal is to help brokers use AI safely and comply with regulations.”
Markel UK’s broker divisional director, Jo Sykes, added: “Markel is proud to support Biba on this guide. It’s a practical tool for brokers managing how AI fits into their business. With expert advice throughout, it will help members use AI effectively and ethically. Resources like this enable the insurance sector to adopt innovation that benefits customers.”
Background and next steps
The guide was developed following a Biba survey assessing member interest and current use of AI. It launched with sponsorship from Markel and aims to provide clear, actionable information for brokers considering AI tools.
- How AI can improve operational efficiency
- Legal and compliance considerations to keep in mind
- Examples of AI applications in insurance
- Practical advice for ethical AI use
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