The Year of Agentic AI: Capturing Early Wins and Defining Priorities

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 Technology 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

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

The concept of preserving and communicating with digital representations of departed loved ones is transitioning from science fiction to emotional reality as agentic AI advances. Now, presence can be replicated by digital twins driven by voice, behavior, and personal data, adding a new level of comfort, continuity, and even healing.

• Digital Immortality – Can Agentic AI faithfully carry the essence of those we've lost?
• Emotional Impact – How do digital presences affect grief, closure and memory?
• Ethical Dilemmas – Where do we draw the line between preservation and simulation?

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.

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.

Agentic AI is revolutionizing healthcare by making it possible to deploy autonomous systems that analyze sophisticated medical information, allocate care, and respond to changing patient needs. These smart agents automate clinical processes, alleviate administrative workload and facilitate more accurate, targeted treatment choices— while maintaining data stewardship and ethical practices.

• Designing modular, collaborative agent architectures
• Integrating multimodal clinical data
• Maintaining transparency and regulatory compliance
• Enhancing care coordination through intelligent automation

As Agentic AI moves from experimentation to execution, Global Capability Centers (GCCs) are evolving into intelligence-led enterprise hubs. This panel examines how autonomous agents are reshaping GCC operating models, leadership mandates, and global value creation.

• From Delivery to Decision-Making – How Agentic AI is transforming GCCs from execution centers into autonomous decision hubs.
• Operating Models Reimagined – Redesigning GCC workflows, talent models, and KPIs for agent-driven systems.
• Governance, Trust & Control – Managing autonomy, accountability, and risk in AI-led GCC environments.
• Scaling with Impact – Moving beyond pilots to enterprise-wide adoption and measurable business outcomes.