From Search to Action: What Makes Agentic AI Work in Practice

A candid conversation with a Principal Analyst at Forrester

<hr>

Recorded live at AWS: Reinvent, this is a candid, unfiltered conversation between Rowan Curran, Principal Analyst at Forrester, and Uma Sandilya, Chief Growth Officer at Kore.ai, on what changes when enterprises try to move AI beyond search into systems that are expected to take action.

The conversation reflects how buyer needs are shifting from finding information, to supporting decisions and expecting AI to carry responsibility without introducing risk or confusion. This shifts the focus to context, reliability, governance, and value as AI becomes part of real workflows.

From there, the discussion turns to what it takes to put agentic AI into practice, including ROI, agent sprawl, and the platform decisions required to move from early wins to sustained value.

What You’ll Take Away

• Enterprise AI’s shift from finding information to getting work done
  
• Where search and retrieval still matter, and where they strain at scale
  
• What expectations shift when AI acts inside real workflows
  
• Why governance and reliability matter as agent sprawl sets in
  
• How early decisions shape long-term outcomes and ROI

Who It’s For

This conversation is most relevant for:

• CIOs, CTOs, and CDOs shaping AI strategy
  
• Enterprise architects and platform leaders
  
• Heads of AI, data, and automation
  
• Business leaders accountable for outcomes

Also check out the Forrester Wave™ Cognitive Search Platforms, Q4 2025 [Access here]