Deepti Singh

AI investment decisions are becoming increasingly complex. Organizations are facing a flood of potential use cases, competing priorities, unclear value assessments, and difficult decisions around where to invest, what to build, and what to buy. The challenge is no longer identifying what AI can do - it is determining where AI will create meaningful business impact and ensuring it actually changes how work gets done. 

Through candid discussion and peer-driven problem solving, participants will explore how organizations are prioritizing AI investments, overcoming deployment roadblocks, and pivoting strategies when initiatives fail to deliver expected outcomes. 

Bring your challenges and explore solutions around:

• How to prioritize AI use cases and identify where investment will create the greatest business value
• Building a practical framework for evaluating AI readiness, including process maturity, data foundations, and true cost of ownership
• Navigating build-versus-buy decisions and selecting the right technology partner
• Creating deployment playbooks that address adoption, training, governance, and operational ownership
• Knowing when processes are stable enough to introduce the next wave of automation