Agentic AI, for a nontechnical audience refers systems that are able to act autonomously while staying within certain boundaries. They collect information, perform tasks and coordinate actions on behalf of human beings. Agentic AI can do more than just analyze data. They can also schedule pointments, remind people about their medications, escalate cases, and initiate follow-ups. Ananth noted that “Agentic AI acts as force multiplier for systems overstretched.” It enables communities to receive care that is not available, affordable, or geogrhically isolated. To tackle these issues, Infosys has integrated agentic workflows in platforms like Infosys Topaz Fabric, which is used for rid AI agent creation, Infosys Helix, for core administration and Wingspan, for upskilling the workforce, as well as its Responsible AI Toolkit, for governance and safety. Ananth stated that the initiatives are intended to simplify navigation, expand reach and support early interventions. We focus on solutions that will help patients get care faster and reduce the delays caused by administrative complications.

Bridging Gs for Underserved Communities.

When resources are limited, coordination gs may be just as harmful as infrastructure gs. Ananth thinks agentic AI is a clear advantage in this area.

“Traditional AI analyzes data. He said that agentic AI acts upon it. “This cability is critical when resources are scarce and jobs are left unfinished.”

AI agents can, for instance, identify high-risk patients and initiate preventive outreach to them in their local languages. They can also guide them along the digital triage process and ensure they are followed up. Importantly, these systems follow rules defined by clinicians. They escalate cases when human intervention is needed. This combination of initiative, supervision and control makes agentic AI better able to bridge access gs than passive prediction models alone”, he said.

Digital triage, population outreach, automation prior authorizations and chronic disease management are among the most promising plications. The health systems that use agentic workflows report faster care navigation as well as more consistent patient engagement. This is especially true in rural areas and communities with low income. Ananth: “These solutions enable a shift from reactive to proactive care.” The AI is not replacing doctors or nurses. Ananth made it clear that AI agents are there to support clinical decision making, not to replace it. Infosys integrates “human in the loop” controls that ensure clinicians can validate all actions. He added that AI also flags uncertain situations instead of guessing. “The principle of AI is very simple: the clinician decides, and AI assists.” Adoption depends, however, on the workforce’s readiness. Ananth stated that “simulation-based practices help clinicians integrate AI in daily routines with confidence.” “The goal for AI is that it feels like a trustworthy teammate, and not a disruptive interruption.”

Safety Measures Against Bias Infosys’ systems incorporate bias-detection tools, diverse datasets for training, and continuous monitoring of performance. Ananth explained that design principles included inclusive personas as well as multilingual accessibility and careful evaluation of the social determinants. Agentic systems are intended to escalate cases that have ambiguous answers for human review, rather than make uncertain decisions. Ananth is unambiguous on the issue of accountability: “Accountability always remains with the healthcare organization, the licensed professionals who oversee care, and the governance structures which ensure that all AI recommendations can be reviewed.” Ananth said: “Technology is helpful, but the responsibility for clinical and organizational outcomes cannot be delegated by AI.”

From Periodic to Continuous Care. AI agents can help health systems shift from episodic to proactive care by integrating data from wearables and imaging devices, lab reports, electronic health records, and social determinants. Ananth stated that “our goal is to deliver high-quality health care to every community regardless of income or geogrhy.” If agentic artificial intelligence is successful, not only will it optimize healthcare operations but also change the way care is delivered. It could make access more inclusive, anticipatory and equitable.

Published on February 11, 2026 04:43 PM, IST.

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