Most enterprises are no longer struggling to access AI technology. The real challenge is transforming the organization around it.

While AI pilots and proof-of-concepts continue to proliferate, many fail to scale because enterprises underestimate the changes required in data, governance, operating models, decision-making structures, and organizational accountability.

In this candid discussion, technology and AI leaders share practical lessons from large-scale enterprise transformations across automotive, fintech, banking, and global enterprises. The conversation moves beyond AI hype to examine what it actually takes to become AI-ready.

Key topics include:

Why AI pilots plateau and fail to scale
Building the data foundation required for enterprise AI
Agentic AI and which enterprise workflows are genuinely production-ready today
Governance, risk, and responsible AI adoption
How AI changes operating models, decision ownership, and workforce structures
The commercial implications of AI replacing traditional headcount-driven services
A practical roadmap for leaders looking to move from experimentation to enterprise-wide AI adoption

Attendees will leave with a clear understanding of the organizational, technological, and leadership changes required to build an AI-ready enterprise and a practical action plan for accelerating AI transformation within their own organizations.

Key Takeaways
Why most AI transformations fail despite successful pilots
The role of data quality, governance, and operational accountability in AI success
How agentic AI is being deployed in production today
Practical strategies for scaling AI across large enterprises
A 90-day action plan to accelerate AI readiness

Deepak Gupta – Group Chief Technology, Product & AI Officer (CTAIO), AMPL. Leading AI, data, cloud, platform engineering, and enterprise transformation initiatives across automotive retail, after-sales, financial services, insurance, and digital platforms. Former CTO at CARS24 and Chief Technical Architect at Airtel Africa, with over 25 years of experience building AI-driven and platform-led enterprises.