Case Study: The Automobile Association achieves 70% faster insights with Databricks AI/BI Genie

A Databricks Case Study

Preview of the Automobile Association Case Study

Achieving faster insights with AI-powered self-served analytics

The Automobile Association, the UK’s leading roadside assistance provider, was struggling with fragmented reporting, slow access to insights, and too much dependence on data specialists for routine questions. Before working with Databricks, teams had to navigate complex dashboards or raise tickets for simple analytics requests, creating delays and governance concerns.

Databricks helped the Automobile Association deploy AI/BI Genie with Genie Conversation APIs, integrating natural-language data queries into Microsoft Teams so employees could self-serve insights instantly. The solution reduced data silos and manual work, and delivered 70% faster insights, enabling quicker decision-making and freeing the data team to focus on higher-value analysis.


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Automobile Association

Matt Sanderson

Head of Data Products for Channels


Databricks

457 Case Studies