Use cases — stage 04
Scale & Govern
Named examples from the tools pharma teams use to monitor, govern and keep validating an AI system once it is already live in production.
39 stories across 5 vendors
ServiceNow10
- 01Global life-sciences company's AskHR digital hub (ServiceNow HR Service Delivery + Now Assist) handles 250,000+ requests/year, 75–76% self-submitted, 5,000 knowledge articles at 88% quality rating
- 02Healthcare asset/medical-equipment management company uses the ServiceNow AI platform for technician support; 22% developer-productivity improvement
- 03Unified a multi-vendor IT environment, raising first-contact resolution from 85% to 90.1%
- 04Global medtech company's decade-long shared-services digital transformation (finance, procurement, HR, sales, supplier portal) on ServiceNow
- 05Medical-equipment provider to 3,700+ hospitals; 100+ process improvements, idea-to-production cut to 1 week, faster equipment-repair turnaround
- 06North Carolina health system uses ServiceNow AI/Virtual Agent to speed IT-issue routing and resolution (co-branded HIMSS case study PDF
- 07COVID-19 symptom checker + nurse chatbot built on ServiceNow
- 08IntegrationHub/App Engine cut monthly invoicing effort from 40–80 hours to 13 hours
- 09Described in ServiceNow marketing copy as "fulfilling its life-saving mission" on the platform
- 10Vaccination scheduling, COVID-19 testing, and contact-tracing workflows for 6.5M citizens via Customer Service Management
IBM9
- 01Salesforce + integration platform cut COVID-19 test-result processing from 8 hours to minutes
- 02IBM product engineering/design added medicine management, secure messaging, appointment booking, test results
- 03IBM Blockchain-based encrypted ledger for Electronic Health Records
- 04IBM Consulting modernized legacy Medicaid systems on hybrid cloud
- 05AI/ML-powered Document Intelligence Platform automates invoice/PO/delivery matching
- 06Legacy Watson Health case study for this clinical-trials CRO
- 07IBM MaaS360 + Watson unified endpoint management for IoT/non-standard device IT support
- 08IBM infrastructure work mitigating pharma supply-chain risk post-pandemic
- 09IBM Consulting built "Pulse," a blockchain platform tracking prescription-drug ownership transactions
Credo AI8
- 01HR-tech talent-matching startup achieved EU AI Act compliance ~10x faster using the Credo AI platform
- 02Aerospace/defense customer established lifecycle AI risk management for defense operations
- 03Global energy company unified AI governance across 500+ AI use cases
- 04Global tech company embedded/automated AI governance into enterprise workflows via a 3-step process
- 05Global consumer packaged goods company operationalized responsible AI governance across business units
- 06Scaled generative AI governance in financial services, cutting new-use-case review effort
- 07Global reinsurance provider standardized algorithmic bias assessment/reporting for regulatory compliance
- 08"Accelerating AI Governance Maturity From Principles into Practice" — a webinar, not a case study, featuring Parth Patel (Exec Director, AI & Data Science at Madrigal) discussing how Credo AI's framework complemented Madrigal's internal AI-governance processes
Sware7
- 01Projected to save 1.5 FTE/year on ERP validation; now FDA audit-ready with end-to-end traceable, data-first validation
- 02User-friendly Res_Q software enabled streamlined, access-controlled audits
- 03Res_Q platform + Sware's people resources drove validation time and cost savings
- 04Joint GxP-compliant paperless-workflow offering for life sciences built on Res_Q
- 05Cut validation time 30–40% by centralizing validation across multiple sites on Res_Q
- 06Shifted from CSV to CSA, accelerating validation by 75% and freeing ~1 FTE of labor
- 07Validation workstream execution time cut from days to hours
ModelOp5
- 01Cut AI risk-rating process from two weeks to one day via a Responsible AI framework (presented as a fireside-chat writeup, not a standalone case-study page
- 0250% reduction in time-to-market for bond-trading AI using ModelOp Center
- 03AI model operations at scale, monitoring hundreds of production models
- 04Composite fraud-detection model deployed via ModelOp Center
- 05Near-real-time credit-scoring updates via automated model lifecycle