Aruna Katakamsetti

As Agentic AI moves from concept to capability, Shared Services leaders face a critical question: should we invest in an off-the-shelf platform or build a custom, in-house solution?

This session details the strategic, technical, and operational trade-offs of each path. Participants will explore how to evaluate organizational readiness, assess internal capabilities, and compare long-term value between buying and building agentic AI. We’ll also cover key factors like integration complexity, data governance, scalability, and total cost of ownership.

Through guided discussion and practical frameworks, attendees will walk away with clearer criteria for decision-making—plus concrete next steps for piloting or procuring agentic AI solutions tailored to their organization’s needs.

Key Takeaways:

• Understand the core differences between off-the-shelf and custom-built agentic AI solutions
• Learn how to assess your organization’s readiness and internal capabilities for AI adoption
• Explore critical factors such as integration challenges, data governance, scalability, and total cost of ownership
• Gain frameworks to evaluate long-term value and ROI for buy vs. build decisions
• Receive practical guidance on next steps for piloting or procuring agentic AI tailored to your environment