Infosys scales enterprise AI adoption with Sentara
Infosys has partnered with Sentara to establish a scalable AI-driven framework aimed at transforming healthcare services. The collaboration utilizes Infosys Topaz Fabric to integrate AI across IT, hospital operations, and clinical support, focusing on efficiency and improved patient outcomes.

*this image is generated using AI for illustrative purposes only.
Infosys has announced a strategic collaboration with Sentara to create a scalable foundation for AI-driven transformation in healthcare services. Announced on June 24, 2026, the partnership aims to enhance efficiency, support clinicians and staff, and improve experiences for patients and members by leveraging enterprise AI across IT operations, hospital management, and clinical support functions.
Strategic Framework and Implementation
Infosys is leveraging Infosys Topaz Fabric, a purpose-built agentic services suite, to unify infrastructure, models, data, applications and workflows into a composable, agent-ready ecosystem. This framework will allow Sentara to utilize reference architectures, AI-first SDLC modernization and governance scaling to embed AI across core hospital and enterprise workflows. The collaboration emphasizes responsible AI design, enterprise guardrails and operational readiness to move AI from experimentation to production.
Key Focus Areas
The collaboration targets specific domains within Sentara's operations to drive efficiency and improved outcomes. The primary focus areas include:
| Focus Area | Details |
|---|---|
| IT Operations | Leveraging AI to enhance and streamline information technology functions |
| Hospital Operations | Applying AI to improve efficiency and management within hospital settings |
| Clinical Support | Utilizing AI tools to strengthen clinical workflows and support systems |
Executive Commentary
Jamisson Fowler, SVP and Chief Digital Officer, Sentara, stated that the collaboration enables a thoughtful and scalable approach to AI adoption. He noted that the initiative ensures AI is deployed to genuinely improve how hospital teams work, supporting efficiency, care delivery and the communities served, while remaining secure, compliant and patient-centered.
Venky Ananth, EVP and Global Head, Healthcare, Infosys, highlighted that healthcare organizations are at a pivotal moment where AI can meaningfully enhance clinical and operational outcomes. He emphasized that the collaboration focuses on unlocking AI value by building a strong enterprise AI foundation spanning architecture, governance and AI-first delivery models.
Historical Stock Returns for Infosys
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +2.65% | -7.61% | -10.04% | -36.67% | -33.30% | -29.71% |
How will the success of this AI implementation be measured in terms of tangible patient outcomes and operational efficiency?
What are the potential risks and challenges in scaling AI across clinical workflows, particularly regarding data privacy and regulatory compliance?
Could this partnership serve as a blueprint for other healthcare systems looking to adopt AI at scale?

































