UK Insurer Covéa Partners with Shift Technology on Fraud Detection and Claims Processing
Covéa, a UK insurance company, has selected Shift Technology to build a single system for managing fraud and financial crime across underwriting, claims, and policy adjustments. The partnership replaces fragmented tools with one end-to-end approach that tracks risk from policy inception through settlement.
Covéa's underwriting operation saw return on investment within three months of deployment, according to the announcement. The gains came from earlier risk identification and reduced leakage in the underwriting process.
How the System Works
Shift's platform integrates third-party data sources including CUE Data and Companies House. The system generates risk signals that help teams across motor, home, commercial, and high-net-worth insurance lines prioritize cases and intervene earlier.
The technology combines three capabilities: predictive models to surface risk, generative AI to synthesize and explain cases, and automation to orchestrate actions-all with human oversight built in.
Broader Transformation
Stephen Long, Claims, IT & Operations Director at Covéa, said the partnership strengthens the company's ability to detect financial crime while driving more efficient operations. He called it "a major step in our financial crime strategy."
Covéa and Shift expect the collaboration to expand beyond fraud detection. Additional automation and new risk use cases are already under consideration as the insurer continues to modernize its operating model.
George Robbins, Head of UK Markets at Shift Technology, said insurers increasingly view fraud detection as part of broader operational transformation rather than as an isolated function. "By combining predictive models, generative AI, and agentic capabilities, always with human oversight, insurers can take earlier, more consistent actions and generate measurable value at scale," Robbins said.
For executives evaluating enterprise AI strategy, this partnership illustrates how insurers are consolidating multiple risk functions into unified platforms. See our guide to AI for Insurance for more on how the sector is adopting these tools, or explore AI for Executives & Strategy for frameworks on enterprise implementation.
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