Agentic AI Confluence 2026

As AI moves beyond model development toward large-scale deployment, orchestration is emerging as the next critical layer of innovation and competitive advantage. With its unique combination of deep technology services expertise, Global Capability Centers (GCCs), a vibrant startup ecosystem, and world-leading Digital Public Infrastructure (DPI), India is well positioned to shape this layer globally. This keynote explores how India can build sovereign, scalable, and exportable AI orchestration frameworks while creating new opportunities for innovation, economic growth, and global leadership in the AI era.

Key Discussion Points:

• Why is orchestration becoming the next strategic layer in global AI adoption?
• India’s unique strengths: services ecosystem, GCCs, startups, and DPI
• Building sovereign and globally exportable orchestration frameworks
• Opportunities for startups in orchestration platforms, agent ecosystems, and AI evaluation tools
• The role of industry collaboration and policy in enabling responsible orchestration
• How can India position itself as a global leader in the AI orchestration economy?

As organizations move beyond AI pilots toward enterprise-scale adoption, many encounter fragmented deployments, disconnected workflows, siloed data, and increasing governance complexity. The AI Control Plane is emerging as the orchestration layer that unifies agents, workflows, data, and policy controls into a scalable, reliable framework for AI operations. This session will examine the architecture of modern AI orchestration stacks and explore how cloud platforms, APIs, and developer ecosystems are enabling seamless coordination across multi-agent environments.

Key Discussion Points:

• Why current AI deployments remain fragmented and difficult to scale
• Components of the AI orchestration stack: control plane, execution, and governance layers
• The role of cloud, APIs, and developer ecosystems in accelerating orchestration
• Observability, state management, and reliability in multi-agent systems
• How platforms are evolving from infrastructure providers to AI orchestration enablers
• Best practices for building governed, scalable, and enterprise-ready AI ecosystems