Leading UK Insurer Explores Multi-Agent AI to Transform Business Intelligence

The Challenge

Like many modern insurers, a leading UK insurer had invested heavily in reporting and analytics, generating valuable insights across multiple business functions. However, accessing those insights still relied on users navigating dashboards, reports, and traditional reporting processes.

The business wanted to simplify how teams interacted with data by providing a natural language interface that enabled users to ask questions directly and receive immediate answers. The goal was to reduce reliance on long-tail reporting requests while empowering business users to access insights independently.

As adoption of AI capabilities increased, a leading UK insurer also wanted to explore how agentic AI could help connect insights across multiple business domains, including claims, pricing, finance and customer operations.

Solution

Advancing Analytics partnered with a leading UK insurer to develop and evaluate AI-powered data access using Databricks Genie. The initial engagement focused on creating an intelligent conversational interface over data already available within the organisation's Databricks environment.

The solution enabled users to query business data using natural language, making it easier to access insights without relying on traditional reports or specialist analytical skills.

Building on the success of the initial proof of concept, the project evolved to explore a more advanced multi-agent architecture. Instead of a single agent answering every question, specialist agents were designed around individual business domains such as:

• Pricing
• Finance
• Claims
• Customer Contact Operations

These domain-specific agents could then be orchestrated by a supervisory agent capable of investigating business issues across multiple functions. For example, if a key business metric changed unexpectedly, the supervisory agent could query each specialist agent, analyse the contributing factors, and return a consolidated explanation to decision makers.

The team also explored how capabilities such as Databricks Genie One could accelerate adoption by reducing implementation complexity, improving visual responses, and providing a more intuitive user experience.   

Expected Business Outcomes

While the multi-agent solution continues to evolve, the initiative is designed to help a leading UK insurer:

• Democratise access to data across the business.
• Reduce dependence on manual reporting and analyst intervention.
• Accelerate decision making through conversational AI interfaces.
• Enable cross-functional investigations that span claims, pricing, finance and customer service.
• Improve understanding of business performance drivers through automated root-cause analysis.
• Increase user adoption by providing a more intuitive and accessible analytics experience.

Why Advancing Analytics

Advancing Analytics helped a leading UK insurer move beyond traditional reporting and explore the practical application of agentic AI within a real business environment. By combining deep Databricks expertise with emerging AI technologies, the team enabled a leading UK insurer to assess how intelligent agents can transform the way organisations access, understand and act on data.