Insurer kickstarts AI ops with comprehensive reviews & pilot

Existing AI solutions, lacking governance & infrastructure

The local branch of a European insurer was looking to scale up its enterprise AI capabilities. We conducted a multi-faceted review of data architecture, codebases, AI governance and MLOps, and evaluated their AI use case ideas. They had a modern, Databricks-based infrastructure in place, provided by their parent company, but lacked internal knowledge on how to make the most out of the system.

Out of the 7 workstreams, one was aimed at developing an HR chatbot that can prove the viability of the platform. 

 

AI strategy & new HR tool MVP based on large-scale review

Based on our findings, we advised the local branch on scaling up AI operations and outlined a roadmap with required steps, while also providing suggestions to address gaps in AI governance and MLOps. Additionally, we supported them in building knowledge bases on running Databricks-based systems.

Later, we developed a custom tool, currently in MVP phase, that will allow all employees of the local branch to use a chat interface for HR-related queries, alleviating load from HR employees. In the future, further functions will be added.