MicrosoftExpanded

Cognizant transforms healthcare administration through generative AI automation

Cognizant, in collaboration with Microsoft, has integrated generative AI into its TriZetto software platform to enhance productivity and efficiency in healthcare administration for payers and providers. The partnership leverages Microsoft Azure, Azure OpenAI Service, and Semantic Kernel to power the TriZetto Assistant, a tool that helps automate workflows inside the TriZetto user interface. The assistant can summarize and enrich content, interpret configuration documents, provide configuration templates, and activate desktop automations that reduce manual workload. By enabling contextualized automation and data access, the solution addresses common administrative bottlenecks in healthcare, such as configuration complexity and compliance requirements. It also enhances data security and ensures regulatory compliance while maintaining granular access controls. The initiative aims to support healthcare organizations in achieving greater operational efficiency, faster processing, improved accuracy, and better patient outcomes at scale. The partnership is positioned as advancing innovation and creating tools that improve experiences for healthcare professionals and patients alike.

Organization
Cognizant
Industry
Healthcare
Published
April 2024

Reported outcomes

Strategic outcomes

New product / capabilityAutomated healthcare administration workflowsSpeed & agilityImproved processing and workflow efficiencyRisk & complianceStrengthened regulatory compliance and securityCustomer experience & trustImproved patient and member outcomes

Primary read

Use case focus

Showing 3 of 3

  • 1Generative AI-Powered Healthcare Administrative Automation
  • 2Automated Configuration Document Interpretation for Healthcare
  • 3Desktop Workflow Automation in Healthcare Administration
  • Healthcare administration faced high manual workload and complex workflows.
  • Organizations struggled with hidden administrative costs and inefficiencies.
  • Regulatory compliance required extensive, manual documentation and high data security.
  • Configuration processes were complex, time-consuming, and prone to errors.
  • Payers and providers needed improved productivity and operational efficiency.
  • Patient/member experiences needed improvement due to administrative delays.
  • Integrated generative AI capabilities into Cognizant's TriZetto platform using Microsoft Azure, Azure OpenAI Service, and Semantic Kernel.
  • Deployed the TriZetto Assistant on Facets to automate healthcare administration workflows.
  • Implemented solutions for summarizing, enriching, and acting on enterprise data.
  • Automated interpretation of configuration documents and generation of templates.
  • Enabled desktop automation to reduce manual steps and improve process accuracy.
  • Maintained robust access controls and auditability to ensure compliance and security.
  • Enhanced user experience and streamlined workflows in healthcare administration.
  • Increased operational efficiency by automating manual and repetitive tasks.
  • Improved accuracy and reduced processing time for administrative procedures.
  • Enabled better cost containment at scale for healthcare organizations.
  • Supported improved regulatory compliance and enhanced data security.
  • Contributed to better outcomes for patients and members.
Architecture

Generative AI capabilities are embedded in the TriZetto Assistant, integrated with the TriZetto software platform. The solution leverages Microsoft Azure, Azure OpenAI Service, and Semantic Kernel, with the assistant accessing TriZetto application programming interfaces (APIs) to source enterprise data and automate desktop tasks. User identity management provides secure and contextual access to data, automates interpretation of documents, and enables pre-built workflow templates. The solution maintains access controls and auditability, extending the value of TriZetto and Microsoft investments in healthcare organizations.

Sources & evidence1
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2026.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

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