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AI use case
AstraZeneca partnered with ServiceNow to deploy AI directly embedded in its laboratory operational systems, digitizing and automating over 60,000 laboratory requests per year. T…
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Title
AstraZeneca: AI-Embedded Laboratory Request Management System
Content
AstraZeneca partnered with ServiceNow to deploy AI directly embedded in its laboratory operational systems, digitizing and automating over 60,000 laboratory requests per year. The AI system handles the full lifecycle of lab requests — from submission and routing to execution tracking and result recording — eliminating manual paperwork and reducing administrative overhead for research scientists. The deployment is part of AstraZeneca's broader initiative to embed AI agents in core scientific workflows rather than running isolated pilots. The system integrates with existing Laboratory Information Management Systems (LIMS) and research databases, using AI to prioritize requests, flag anomalies, and route samples efficiently. Measured outcomes include saving 30,000 hours annually across the global research operations team, significantly reducing turnaround time for lab result processing. This deployment is cited as a leading example of embedding AI where the work actually happens, rather than alongside it, and is referenced in McKinsey research on high-performing AI organizations that fundamentally reimagine processes rather than just automating tasks.
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Cambridge
Company/Organization
AstraZeneca
Continent
Europe
Country
United Kingdom
Category
Pharmaceuticals
Type
Deployment
Id
8af7129a-f5dd-4b61-ae63-9939b81c999c
Created At
2026-04-06T03:08:39.293859+00:00