As healthcare races toward digital transformation, the role of AI is shifting from experimentation to enterprise-scale adoption. Yet, in a sector where safety, compliance, and explainability are non-negotiable, general-purpose AI platforms often fall short. In this exclusive conversation with IndiaMedToday, Ramakrishnan JN, CTO – AI & Engineering at CitiusTech, discusses how CitiusTech Knewron is purpose-built to address these challenges. From embedding compliance guardrails and interoperability checks to enabling human-in-the-loop oversight, Knewron is designed to accelerate product
development without compromising trust.

What was the core vision behind launching CitiusTech Knewron, and how is it different from general-purpose AI platforms?

The main goal of launching CitiusTech Knewron is to address the unique challenges of healthcare product development engineering, where accuracy, compliance, explainability, and safety is critical. Unlike general-purpose AI platforms, CitiusTech Knewron is purpose-built for healthcare, integrating domain-specific context, workflows, and regulatory guardrails across the product lifecycle.

Capabilities such as persona-specific workbenches, policy-as-code compliance, pre-built healthcare studios, process transformation kits, protocol-driven integration, and human-in-the-loop oversight make Knewron a unique platform that delivers predictable, auditable, and interoperable outputs.

While general AI platforms focus on accelerating individual engineering tasks, CitiusTech Knewron emphasises trust, safety, and healthcare relevance.

Can you share examples of how CitiusTech Knewron helps accelerate product development while maintaining trust and compliance?

For claims automation, a generic AI tool might generate workflows that look correct but fail downstream, for instance, by violating FHIR interoperability rules, causing rework and delays. CitiusTech Knewron embeds compliance checks, payer-specific logic, and interoperability protocols directly into the development lifecycle, producing deployment-ready and auditable outputs from day one. Its domain-native approach allows product managers to build more complete backlogs with CitiusTech Knewron as a thought partner, while downstream design, architecture, and code generation include traceability and correctness checks - reducing risk and accelerating time-to- market.

From a business standpoint, how do you perceive the opportunity for CitiusTech Knewron in the Indian healthcare market India is CitiusTech’s engineering hub and the build center for CitiusTech Knewron. Thousands of engineers are being trained in AI and agentic AI, with delivery capacity expanding across Mumbai, Bengaluru, Chennai, and Hyderabad. This enables global deployments while developing deep healthcare-AI expertise locally, making India a core pillar of CitiusTech’s growth strategy.

With initiatives like the Ayushman Bharat Digital Mission (ABDM) driving digital health adoption, where do you see the strongest demand for healthcare native AI platforms in India?

We expect demand to be strongest in areas that require interoperability, compliance, and scale, like claims automation, population health, provider network optimization and clinical summarisation and inferences. These are the use cases where a healthcare native platform like CitiusTech Knewron can deliver safe, auditable, and deployment-ready outputs.

India’s healthcare sector is cost-sensitive and diverse. How do you plan to balance ROI, adoption, and accessibility for different segments—from large hospital networks to mid-tier providers and digital health startups?

Our commercial focus remains on the US and global markets. India continues to be our engineering and delivery hub, where we build scalable, cost-efficient solutions that ultimately help improve ROI and accessibility for our clients worldwide.

Going forward, how do you see CitiusTech Knewron contributing to CitiusTech’s overall portfolio? Do you expect it to become a significant percentage of your business in the next few years?

CitiusTech Knewron builds on CitiusTech’s deep domain expertise and compliance frameworks, unifying them into an AI- powered, healthcare native product development platform. This helps clients build faster, safer, and more compliant solutions. AI is seen as a major inflection point for CitiusTech, enabling a broader array of services and deeper client engagements globally.

AI governance remains a big gap in healthcare, even with guardrails in place. How does CitiusTech see its role in shaping industry-wide governance standards?

CitiusTech Knewron embeds multi-layered guardrails including policy-as-code, PHI handling, HIPAA/FDA/GDPR/MDR compliance, OWASP security standards, and configurable gates, ensuring governance is continuous and automated. Because policies are enforced through configuration rather than retraining, teams can innovate quickly while staying within strict compliance boundaries. Agent interactions are also governed and routed for human review where needed, preventing propagation of errors and ensuring auditability.

Healthcare AI depends on sensitive patient data. How does CitiusTech Knewron ensure compliance, security, and accountability across geographies with varying regulations (HIPAA, GDPR, DPDP Act) CitiusTech Knewron adheres to HIPAA, GDPR, PHI, SOC, MDR, and OWASP standards, with secure deployment options in private cloud, VPC, or on- premises environments.

Its policy-driven compliance layer allows rapid adaptation to region-specific rules without retraining models, ensuring outputs remain compliant, auditable, and safe globally.

CitiusTech Knewron emphasises human-in-the-loop oversight. How do you strike the balance between automation and explainability, so AI decisions never become a “black box” in healthcare Explainability and auditability are built in at every step, with validation points and compliance gates that cannot be bypassed.

Clients can add review steps for sensitive tasks, maintaining human control where it matters most while letting automation handle repetitive, lower-risk work, delivering both speed and accountability.

Beyond product development, do you see CitiusTech Knewron evolving into areas like patient engagement, clinical decision support, or automating compliance audits at scale?

Future releases will include prebuilt domain-centric studios for agentic workflows, a cognitive healthcare architecture covering data ingestion through observability, and AI-Ops dashboards for agent lifecycle management at scale. These capabilities will further streamline development and could support more clinical and operational use cases over time.

Looking 3–5 years ahead, how do you envision CitiusTech and CitiusTech Knewron shaping the future of AI-driven healthcare solutions globally?

We see a shift toward domain-native PDLC where AI augments human capability rather than just automating tasks. CitiusTech Knewron demonstrates that speed and governance need not be trade-offs, its prebuilt compliance gates and domain-aware orchestration reduce friction, freeing resources for innovation while keeping safety and accountability at the core.