Beating risk with machine learning

A global insurer’s ability to meet regulatory requirements and risk mitigation was challenged by an immense volume of audio recordings and other communication types.



The insurer will be able to use BEAT to automatically review more than two million customer interactions recorded over 8 years in a time efficient and consistent manner, thus providing upfront insight to inform the review.

By passing customer interactions through BEAT's segmentation engine a risk rating is automatically applied to each file in line with the firm's Past Business Review methodology, providing an upfront distribution of potential redress volumes.

The rapid implementation by Deloitte and agile methodology allowed BEAT to be fine-tuned during roll-out which ensured outcomes were continuously improved and aligned to changing methodology.

The increased levels of automation has enabled the organization to identify and realize additional efficiencies that would have been impossible through a traditional manual approach.

Tech-tonic shifts are happening now. Work with a team of experts who help financial services firms adapt to, and take advantage of, technological change.

Key contacts

Richard Widdas

Partner and Global Financial Services Consulting leader
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Scott Nicholass

Partner and Global Financial Services Consulting Technology leader
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Lauren Schmidt

Director and Global Financial Services Consulting Chief of Staff
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