Infosys and Sentara Health have launched a strategic collaboration to scale enterprise AI across the healthcare provider's operations. By implementing Infosys Topaz Fabric, Sentara aims to integrate agentic AI into hospital workflows, enhancing efficiency for clinicians and improving care experiences while maintaining strict responsible AI governance and security standards.
Infosys (NSE, BSE, NYSE: INFY), a global leader in AI-first business consulting and technology services, announced a strategic collaboration with Sentara Health on June 24, 2026, to accelerate the adoption of enterprise artificial intelligence (AI) across clinical and operational healthcare workflows.
The partnership is designed to create a scalable foundation for AI-driven transformation, focusing on enhancing efficiency, supporting clinicians, and improving the overall experience for patients and health plan members. By leveraging Infosys Topaz Fabric—a purpose-built, agentic services suite—Sentara aims to unify its infrastructure, data models, and applications into a cohesive ecosystem that allows for responsible and governed AI deployment.
Scaling AI from Experimentation to Production
The collaboration emphasizes moving beyond isolated AI pilot projects toward a cohesive, enterprise-wide strategy. By utilizing Infosys Topaz, Sentara will integrate AI directly into its core hospital systems and enterprise workflows.
According to officials, the framework will allow Sentara to implement reference architectures and AI-first software development life cycle (SDLC) modernization. The initiative targets several key areas within the healthcare system, including:
Clinical Support: Enhancing tools for clinicians to improve care management and decision-making.
Operational Efficiency: Automating administrative tasks to support staff and reduce institutional friction.
Patient Experience: Improving digital front-office interactions to streamline member and patient engagement.
"Healthcare organizations are at a pivotal moment where AI can meaningfully enhance clinical and operational outcomes when it is adopted responsibly and at scale," said Venky Ananth, Executive Vice President and Global Head of Healthcare at Infosys. He noted that the focus is on operationalizing innovation across hospital systems to provide tangible efficiency gains for staff and patients.
Commitment to Responsible AI Governance
As Sentara integrates AI into day-to-day operations, the collaboration places a heavy emphasis on responsible AI design and "enterprise guardrails." This approach is intended to ensure that as AI capabilities evolve, they remain compliant, secure, and patient-centered, aligning with both organizational strategic goals and broader healthcare regulatory considerations.
Jamisson Fowler, Senior Vice President and Chief Digital Officer at Sentara, highlighted that the partnership is essential for moving AI from experimentation into production. By embedding intelligence directly into operational workflows, Sentara aims to operate with greater speed, consistency, and resilience, ultimately allowing its teams to focus more effectively on patient care.
Official Sources
According to the official joint announcement released by Infosys and Sentara Health on June 24, 2026, the collaboration is a multi-year effort to build a scalable foundation for AI transformation. The technical deployment relies on the Infosys Topaz Fabric, which the company describes as a composable, agent-ready ecosystem designed to span AI strategy, road-mapping, and governance.
Why It Matters
For the healthcare sector, this partnership represents a shift toward "agentic AI"—systems that do not just provide analytics but actively support and automate complex workflows. By standardizing AI architecture across a major health system like Sentara, the collaboration aims to solve the "last mile" problem of AI adoption: ensuring that theoretical gains in clinical efficiency translate into real-world improvements for clinicians and patients.
Key Facts at a Glance
Strategic Focus: Creating a scalable, enterprise-wide foundation for AI adoption in clinical and operational workflows.
Technology Suite: Leveraging Infosys Topaz Fabric to unify infrastructure, models, and data workflows.
Primary Goals: Enhancing clinician support, optimizing hospital operations, and refining the patient digital experience.
Responsible AI: Emphasis on enterprise guardrails, governance, and operational readiness to move AI from pilot to production.
FAQ
What is Infosys Topaz Fabric?
Topaz Fabric is a purpose-built agentic services suite that allows organizations to integrate AI—including generative and agentic models—into their existing enterprise applications and workflows.
How will this impact Sentara clinicians?
The partnership aims to reduce administrative burdens and provide better decision-support tools, allowing clinicians to spend more time on direct patient care.
Is this part of a larger trend in healthcare?
Yes, healthcare organizations are increasingly moving toward integrating AI into core operational layers (such as ERP and clinical records) rather than using it only as a standalone analytics tool.
What is the significance of "agentic" AI in this context?
Agentic AI refers to systems capable of taking autonomous actions within workflows to achieve specific goals, moving beyond simple information retrieval.
Sources: Infosys and Sentara Healthcare AI Transformation