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The World Digital Architect Conclave is a premier gathering of enterprise architects, technology leaders, and digital transformation practitioners. Built on the belief that architects need a dedicated community of practice, the conclave provides a platform to move beyond day-to-day delivery and engage in meaningful conversations around architecture, engineering, governance, emerging technologies, and the future of enterprise technology leadership.

Join us as Vijay Subramanian, alongside fellow industry leaders, shares perspectives on how organizations can architect for the next era of AI-driven enterprises.

Leadership Conversation: The Economics of Intelligence
Token Economics, Agentic Systems, and AI Factories: What Must Organizations Rethink?

This leadership conversation explores how these shifts are redefining enterprise architecture, operating models, governance, platform engineering, and the evolving role of architects and technology leaders. 

Whether you’re defining your enterprise AI roadmap or scaling AI across the organization, Orion brings deep expertise in digital engineering, cloud, data, and AI to help enterprises transform ideas into measurable business outcomes. 

Meet Our Team

Vijay Subramanian

Senior Director – Product Delivery Management

Orion Innovation

Prabhat Kumar Singh

AI Solution Lead/Architect

Orion Innovation

Prabakar Murugan

Senior Technical Architect

Orion Innovation

Ashokkumar Vellaisamy

Senior Technical Lead

Orion Innovation

Ashok K Sharma

Director – Learning & Development

Orion Innovation

Shangri-La Hotel, Bengaluru

July 3, 2026

Meet at World Digital Architect Conclave 2026

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FAQs

Your questions,
answered.

The World Digital Architect Conclave (WDAC) is an enterprise-focused event that brings together architects, CIOs, and technology leaders to discuss digital architecture and AI-led transformation. It creates a platform for strategic thinking beyond delivery, focusing on governance, platforms, and emerging technologies shaping modern enterprises. 

Enterprise architecture provides the structure needed to scale AI effectively. It ensures alignment across data, platforms, and governance while enabling organizations to manage complexity as AI adoption increases across business functions and operations. 

Agentic systems are AI systems that can operate autonomously to make decisions and complete tasks. They are relevant because they enable intelligent automation at scale, reducing manual intervention and improving efficiency in enterprise operations.

Token economics refers to the cost and usage model associated with AI systems, particularly large language models. It impacts budgeting, scalability, and architectural decisions, requiring organizations to optimize usage and control costs while maintaining performance.

An AI factory is a structured approach to building, deploying, and scaling AI models across the organization. It standardizes processes, tools, and governance to deliver consistent and measurable business outcomes from AI investments. 

Organizations can scale AI by aligning architecture, data platforms, governance models, and talent. A strong foundation in cloud, platform engineering, and data integration helps ensure that AI initiatives move from pilot to production successfully. 

Enterprises should rethink their operating model when AI moves from experimentation to strategic adoption. This shift requires new governance structures, cross-functional collaboration, and updated roles for architects and technology leaders. 

Answer