Accelerating Innovation in the Digital Insurance Sector with AWS

Policy Expert, part of QMetric Group, is a UK insurance provider using technology and innovative underwriting to deliver competitively priced home, motor, and travel insurance. Partnering with ML6, they set out to strengthen their AI capabilities and transform real-time quote generation.

Catch up quickly
Policy Expert teamed up with ML6 to build an MLOps solution on AWS, using components like Glue, SageMaker, and Fargate. With Thompson Sampling at the core, the system balances exploration and exploitation in real-time quote generation, enabling smarter decision-making. ML6 also provided advisory workshops and a clear roadmap, helping Policy Expert accelerate their AI adoption, gain deeper customer insights, and speed up innovation across their insurance lifecycle.
About this client
The National Cyber Security Centre (NCSC) of the Netherlands is the national expert working towards a digitally secure Netherlands. As the digital infrastructure of Dutch organisations is of vital importance it’s the NCSC's mission to strengthen the cyber security of the Netherlands by connecting stakeholders and preventing cyber incidents. As a government organisation, the NCSC operates under strict security and ethical standards and plays a crucial role in the Dutch digital landscape. They recognised the potential of AI to enhance their capabilities and to facilitate the growing set of target organisations, that’s why they sought to adopt it responsibly and strategically.
Impact
With the help of artificial intelligence, machine learning and the AWS Cloud, Policy Expert was able to get more insights towards its customers and more confidently drive decisions regarding the insurance quote features, thereby pushing innovation with an eye on enlarging their competitive edge.

Challenge
Policy Expert is a digital and technical stronghold and wanted to significantly expand their know-how related to setting up a Machine Learning environment, best practices and state-of-the-art modelling techniques. These components are essential to accommodate the level of AI needed to generate customer related insights and radically innovate a digital insurance quote’s lifecycle on multiple fronts, including real-time decision making on the insurance policies they offer.
ML6 has a great team of data scientists with advanced technical knowledge. Our collaboration was smooth and efficient.

Solution
By leveraging AWS components such as AWS Glue for (timely) data processing, AWS SageMaker for model training & hosting and AWS Fargate to host our applications, we co-developed an MLOps solution for a first use-case. With Thompson Sampling at the basis, we optimised the exploration and exploitation balance that is inherent to sequential real-time quote generation.

Working with Policy Expert was rewarding. Combining our ML and AWS capabilities with their technological know-how and business understanding, we were able to go to production in the shortest cycle possible and make the right decisions along the way.
Results
ML6 supported Policy Expert in building up AI and MLOps expertise while accelerating their innovation cycle. The collaboration can be grouped into four key areas.
Clear Roadmap
Helped the internal team validate assumptions, generate data-driven insights, and define a project roadmap for decision-making.
Technical Understanding
Mapped out an initial technical proposal, highlighting important caveats and ensuring a solid grasp of the challenge.
Hands-On Learning
Ran workshops to structure data and projects, simplifying concepts with concrete examples and step-by-step decomposition.
Accelerated Innovation
Enabled Policy Expert to work directly with MLOps and AWS ML components, significantly speeding up the innovation cycle.
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Frequently Asked Questions
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