What challenges did LinkedIn face before AI implementation?

Manual credential verification was time-consuming and costly for HR and IAM teams. High risk of fraudulent or inaccurate self-reported information on LinkedIn profiles. Screening and onboarding processes were delayed, impacting business agility. Healthcare organizations faced prolonged medical credentialing processes and patient-provider journey inefficiency. Financial services organizations struggled with secure, repeatable identity proofing for transactions.

What was the impact of the AI solution?

Reduced credential verification and onboarding time significantly. Lowered operational costs associated with manual verification.

Source

MicrosoftLive sourceProductionEvidence: Low25/100

EY streamlines credential verification and onboarding in HR and healthcare

Use case typeIdentity verificationUpdated Jun 13, 2026

EY developed and implemented a solution using Microsoft Entra Verified ID and identity orchestration to address challenges in employment and supplier credential validation, initially in partnership with LinkedIn. This solution automates the verification of employment and credentials, significantly reducing manual processes, costs, and onboarding delays. Following a successful pilot, EY expanded the solution to other industries, notably healthcare, facilitating faster and more reliable medical credentialing as well as improved patient and provider experiences. The financial sector also benefited with more secure and efficient identity proofing for transactions. The result is a scalable platform that supports the unique verification needs of multiple industries and expedites onboarding while enhancing trust and operational efficiency.

Organization: LinkedIn
Industry: Professional Services
Location: United States
Published: January 2025

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: LinkedIn
Provider: Microsoft
Maturity: Production
Linked source: ey.com

The result is a scalable platform that supports the unique verification needs of multiple industries and expedites onboarding while enhancing trust and operational efficiency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1Credential verification
2Onboarding automation
3Medical credentialing

Manual credential verification was time-consuming and costly for HR and IAM teams.
High risk of fraudulent or inaccurate self-reported information on LinkedIn profiles.
Screening and onboarding processes were delayed, impacting business agility.
Healthcare organizations faced prolonged medical credentialing processes and patient-provider journey inefficiency.
Financial services organizations struggled with secure, repeatable identity proofing for transactions.

Implemented Microsoft Entra Verified ID integrated via an identity fabric and orchestration process.
Automated validation with LinkedIn for employment and supplier credentials.
Developed an interoperable system to enable easy onboarding of enterprises with unique verification needs.
Expanded the implementation for specific use in healthcare and financial services industries.

Technologies

Azure AI Microsoft Entra Verified ID

Reduced credential verification and onboarding time significantly.
Lowered operational costs associated with manual verification.

Architecture

The solution combines Microsoft Entra Verified ID with a custom identity fabric and orchestration layer, integrated with LinkedIn for credential validation. The platform can be extended to other verification needs and supports integration with healthcare and financial sector workflows.

Implementation partners1

Sources & evidence1

Evidence: Low25/100Evidence strength