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Hiscox cuts claims data extraction time 83% with Microsoft 365 Copilot rollout to 3,000+ staff

A documented Document Processing & OCR in Specialty Lines deployment at Hiscox, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Source-extracted record
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

Reduced from up to 1 hour to 10 minutes (83% faster)Claims Data Extraction Time
1 hour saved on tasks previously taking 4 hoursTask Time Saving per Prompt
Grew from 300 to 3,000+ users in 2 yearsCopilot User Adoption

Source-reported figures — cited source: ukstories.microsoft.com

The Challenge

Hiscox's claims team spent significant time manually extracting and synthesising information from multiple sources — emails, thousands of pages of expert medical evidence, and complex legal documents. This administrative burden prevented underwriters and claims handlers from focusing on higher-value decision-making and personalised customer service.

The Solution

Hiscox rolled out Microsoft 365 Copilot to all 3,000+ employees across 14 countries, embedding GenAI capabilities within the productivity tools staff already used. Adoption was accelerated through an AI champions network, shared prompt libraries, drop-in sessions co-supported by Microsoft, and a dedicated Teams channel for peer-to-peer guidance.

Results

A senior technical claims underwriter reduced the time to identify and record key claim information from up to one hour to as little as 10 minutes. Staff reported that a single Copilot prompt could save an hour on tasks that previously took four. Copilot adoption grew from 300 users to over 3,000 in two years, with 200+ employees on a waiting list at peak demand.

Key Takeaways

  • Embedding AI within existing productivity tools (M365) minimises onboarding friction and accelerates enterprise-wide adoption.
  • Peer champions and organic word-of-mouth — driven by visible time savings — create internal demand that outpaces supply.
  • Starting with high-volume, repetitive tasks such as claims summarisation produces immediate, measurable ROI that builds confidence for broader AI investment.

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Details

AI Technology
Generative AI
Company Size
Enterprise
Company
Hiscox
Evidence status
Source-extracted record
Deployment timeframe
Not reported by source
Directory entry published

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