Agentic AI is not the future, it is already redefining how digital-first enterprises operate. In this high-level discussion, technology leaders unpack how autonomous AI agents are reshaping IT architectures, decision systems, operational models and enterprise-wide intelligence. From smart automation to real-time orchestration, discover how CIOs are building organisations where AI is not just a tool but a trusted co-pilot powering agility, resilience and scalable innovation.

The new governance blueprint: How Tehcnology Leaders govern autonomous agents, ensure compliance, and build real-time, AI-native operating models

• Architecting cross-enterprise intelligence: Breaking silos with interoperable systems and autonomous workflows that learn and adapt
• Agentic AI in action: Real-time decision support, anomaly detection, predictive operations and cost optimisation
• Autonomous experience engines: Using agents for hyper-personalization, campaign automation, and end-to-end journey orchestration

Nilanjan Das
Chief AI Officer
India Today

Vibhu Srivastava
Vice President, AI Works (Business first AI)
Axis Max Life Insurance

Satyendra Pratap Singh
Head - Data & AI
Mankind Pharma

Anil Jhanwar
Industry Leader

Neelima Sharma
AI & Digital Officer
Ministry of Labour & Employment

Moderator
Harnath Babu
CIO
KPMG India

Agentic AI—AI systems that can act in a goal-directed manner with some autonomy—is causing a significant upheaval in the financial services sector. Traditional automation operates according to static rule-based procedures, but agentic AI is proactive, learns from interactions, adjusts to changing circumstances, and is capable of autonomous decision-making within predetermined parameters.

• Traditional Automation: Rule-based systems that streamline repetitive tasks but lack adaptability or context-awareness.
• Intelligent Automation: Smarter tools using ML and NLP to handle semi-structured tasks, still needing human oversight.
• Agentic AI: Autonomous AI agents that act with initiative, adapt in real time, and execute complex financial tasks end-to-end.

Divyan Kavdia
Leader - Analytics & AI
Axis Max Life Insurance
KPMG India

Shobit Agarwal
Director- AI ML Data Engineering
Mastercard

Devi Prasad Sharma
AVP - IT
Kotak Mahindra Bank

Moderator
Santanu Ganguly
CEO
StrategINK

As autonomous agents begin making real-time decisions, enterprises must ensure complete visibility into their actions. Observability and traceability provide the trust layer—capturing what the agent did, why it acted, and which data influenced its choices. Without this transparency, risks around governance, compliance, and security escalate rapidly in an AI-native enterprise.

• Enterprise-grade logs capturing every agent action, trigger, and outcome
• Explainability layers revealing the reasoning behind decisions
• Audit trails and data lineage ensuring compliance and trusted inputs
• Real-time monitoring and fail-safe controls to prevent unintended consequences

Mukesh Sharma
CTO
Paisabazaar

Vipin Jain
CTO & CPO
CollegeDekho

Krishna Kant Mishra
CIO & AVP - IT
Subros

Rishab Jain
Head - Analytics
HT Media

Karan Agarwal
Chief Product & Technology Officer
DeHaat

Rupali Gupta
Global Director of Platform Engineering- (Platforms & Applications)
dunnhumby

Moderator
Harsh Vardhan
Global Head - Digital Innovation
Apollo Tyres

By enabling autonomous, context-aware decisions that increase productivity, lower costs, and improve agility, agentic AI is revolutionising industrial operations. These intelligent agents go beyond static automation by dynamically optimising processes and adapting in real-time. However, there are still issues, particularly with workforce adoption, scalability, data privacy, and legacy system integration. investigating how businesses can realise the full potential of agentic AI in the manufacturing sector by striking a balance between innovation and real-world application.

• Understanding the Shift: How Agentic AI differs from traditional industrial automation systems.
• Bridging the Gap: Strategies for integrating Agentic AI into legacy manufacturing environments.
• Securing Smart Factories: Addressing data privacy and cybersecurity in autonomous operations.
• Scaling and Skills: Human-AI collaboration and roadmap for enterprise-wide deployment.

Varun Bansal
VP & Head - IT
Bata India

Moderator
Annie Mathew
CIO
Ashoka University

AI agents act towards predetermined goals in dynamic environments, Gen AI concentrates on creating content, and Agentic AI permits autonomous decision-making. Each signifies a unique change in the way enterprise systems use intelligence. Unlocking their full potential in practical situations requires an understanding of their distinct roles, technological underpinnings, and interactions.

• Difference – Core distinctions in function, autonomy and architecture
• Decoding – How each AI model operates and where they intersect
• Impact – Business value, operational shifts, and adoption priorities across industries

Harvansh Singh Sagar
CVP & Head - IT infrastructure & Digital Operations
Axis Max Life Insurance

Anurag Srivastava
Head - Business Intelligence
PNB Housing Finance

Narrottam Sharma
CIO
Jubilant FoodWorks

Sourav Dasgupta
CIO
Allcargo Terminals & TransIndia Real Estate

Sudhakar Jha
Group IT Head - Strategy, Planning & Enterprise Architecture (CIO Office)
Gujarat Fluorochemicals

Gaurav Rawat
Senior Partner Engineering, Strategic Partnerships
Google Cloud India

Moderator
Santanu Ganguly
CEO
StrategINK

Agentic AI may signal a future of autonomous decision-making, but enterprises today are still wrestling with the hard realities of taking AI from prototype to production. This session cuts through the noise to examine what truly holds back scale, value, and governance in real-world deployments.

• Exposes the real friction points in enterprise AI adoption — cost, governance, customer experience, and production readiness.
• Brings perspectives from across the AI value chain, including global finance where an “Ethical Quotient” is foundational.
• Hear from a leading CIO on converting AI investments into measurable customer NPS gains.
• Learn from logistics analytics experts on enforcing true ROI through “actionable data” that drives outcomes.

Rajeev Batra
CIO
Bennett & Coleman (The Times of India)

Vikram Khurana
Vice President -Analytics & Gen AI
Delhivery

Anurag Jain
Chief Digital & Technology Officer,
Yum Brands

Dr. Shakti Goel
Chief Architect & Data Scientist
Yatra Online

Moderator
Xavier Kurian
CRO
Neysa

Hospitals are shifting from rule-based diagnostics to autonomous decision-support that learns, interprets data, and acts in real time. CIOs will explore how autonomous intelligence is transforming workflows, triage, imaging, and risk prediction—and what it takes to build AI-native hospitals that anticipate and act.

• From Rules to Reasoning: How autonomous agents interpret clinical signals and provide context-aware recommendations
• Clinical Decision Safety: Ensuring explainability, traceability, and clinician trust in autonomous insights
• Integration Challenges: Bringing autonomous decision agents into legacy HIS, PACS, EMR, and critical systems
• Operational Impact: How autonomous decision support reduces workloads, enhances triage accuracy, and accelerates care delivery

Rajiv Sikka
CIO
Medanta

Arun Goyal
CIO
Sir Ganga Ram Hospital

Gaurav Bagga
CTO
Emoha

Moderator
Prateek Tokas
Chief Knowledge Officer
StrategINK

Organisations must implement cutting-edge defences fuelled by agentic AI to remain resilient as cyber threats change quickly. Agentic AI facilitates real-time threat detection and deception, improves risk quantification for proactive defence, and permits autonomous security hygiene through self-healing and continuous monitoring. In order to protect against increasingly complex attacks, these agent-based AI systems lessen the workload for humans and enhance risk management in general.

• Automated Security Hygiene: Role of Agentic AI in self-healing code, self-patching, and continuous attack surface monitoring
• Autonomous and Deceptive Defence: Use of XDR, SOAR, and AI-driven deception systems to adapt and respond to threats
• Augmented Oversight and Risk Quantification: Identifying vulnerabilities and predicting impact with AI-powered tools
• Challenges and Ethics: Balancing automation with human oversight, privacy, and governance in AI-driven cyber defence

Ruby Mishra, National IT Security Officer, KPMG
CIO
KPMG India

Virander Singh
CISO & AGM - IT
Indraprastha Gas

Deepak Rana
Global, CISO
Evalueserve

Ashish Pandey
Head - IS & DPO
MagicBricks

Amit Pradhan
SVP - IT & CIO
Dixon Technology

Moderator
Prateek Tokas
Chief Knowledge Officer
StrategINK