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Agentic AI is here. Now how to implement it?

This episode invites a solution architecture point of view about what it really takes to move from agentic experimentation to trusted, real-world impact.

Season 6 | Episode 4 | May 27, 2026
Hosted by Tom Rourke
Featured experts: Ninad Joshi | Logan Wolfe

Episode notes

Agentic AI can accelerate how enterprises modernize, but introducing the capability to established environments—while keeping them running—becomes architectural Sudoku. As these systems introduce new privileges and autonomous actions, they also demand stronger governance, visibility and control.

This episode invites a solution architecture point of view about what it really takes to move from agentic experimentation to trusted, real-world impact.

Featured experts

  • Ninad Joshi, Senior AI Solution Architect, EMEA, Agentic AI and LLMs, Amazon Web Services
  • Logan Wolfe, Partner, Global Enterprise Transformation, AI and Tech Strategy, Kyndryl

Conversation highlights

Please note the transcript has been modified for clarity and length.

Tom Rourke (Host): What happens when agentic AI is applied across complex enterprise systems?

Logan Wolfe: It exposes what’s been hidden. Most organizations still have siloed data, undocumented workflows, and processes that rely on human intuition. When agentic systems try to operate across those boundaries, they surface every gap. In that sense, AI becomes a diagnostic tool—revealing architectural and operational issues that organizations need to address to move forward. (Hear the full response at 04:12)

Tom Rourke: What separates organizations that successfully scale AI from those stuck in experimentation?

Ninad Joshi: One major differentiator is whether organizations define success at the start of the pilot. Many teams experiment with new models, but those efforts stall if they aren’t tied to business outcomes. The organizations making real progress are the ones that align early on ROI, success metrics, governance, and guardrails—then use that foundation to scale successful use cases more broadly across the enterprise. (Hear the full response at 08:44)

More to the story

Read Logan Wolfe’s article, “Sovereignty as Strategy: The New Executive Imperative,” to learn why sovereignty, trust, and control are critical to AI transformation.

Learn how Kyndryl’s Agentic AI Framework helps organizations scale AI with the governance and control required for real-world impact.

Take Kyndryl’s AI assessment to discover how your organization compares to industry benchmarks.

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