Enterprise AI
Agentic AI, AI Agents & Strategy for CIOs and Technology Leaders

With hundreds of AI agents in production, Richard Teachout, Chief Technology Officer at Ashley Furniture, is replacing the central knowledge base with a self-correcting layer that flags when reality drifts from documented process.

Jason Jodoin, President of 23 Advisory Group, on why an agent headcount tells CIOs nothing about the risk underneath it, and how product discipline turns a sprawling estate into a governed one.

As health systems head toward thousands of AI capabilities, Craig Richardville, Chief Digital and Information Officer at UF Health, on the discipline that matters most is knowing when to decommission a model, not just how to deploy one.

THE CRUX Founding Partner Curtis Kim on why any technical model that works still has to prove it deserves a place across the enterprise.

Sandeep Shilawat, Hybrid Cloud CTO at IBM, on why controlling runaway AI spending takes FinOps discipline and AI-powered tools that track the bill in real time.

Rob Spellman, CIO of Leidos QTC Health Services, on judging AI by what it makes his teams capable of, treating faster growth as the goal and cost savings as a side effect.

Surya Jayanti, Director of Software Engineering at Walmart Global Tech, on running separate delivery lanes for professional engineers and frontline vibe coders, and why the semantic layer will outlast any model.

José Freitas, Lead Enterprise Architect at IATA, on why architecture tools can reveal a company’s weak points, but they can’t resolve its ownership problem.

Lem Prestage, Group IT Manager at Southbase Group, on how a voice AI agent and orchestration across 70-plus SaaS platforms turned slow, low-quality safety reporting into fast field-level data.

Global CTO and AI Officer, Vishal Vallabha, explains why private equity gets AI returns only after the data underneath is connected, not from a dashboard sitting on top.

Kenneth Burdine, Deputy CIO of the Kentucky Community and Technical College System, described how treating AI as a force multiplier for proactive operations rather than a novelty technology helped KCTCS compress a network deployment.

The AI bill is coming for everyone. CIO Mastermind founder Scott Smeester explains how technology leaders can avoid getting caught flat-footed.

Jason Andrews, VP of Strategy and Planning for Engineering Operations at Cisco, on why platform migrations work best when teams leave process debt behind.

Sergey Sergeyev, VP of EA and Chief AI Architect, on why vibe-coded replacements are pulling the foundation out from under the enterprise.

Ashish Kulkarni, Principal Enterprise Architect on how frontier models have converged enough that the sole differentiation in enterprise AI is orchestration, governance, and surrounding data quality.



