The Dallas stop of re:imagine 2025 opened not with speculation, but with proof in motion.
At the Astoria Event Venue in Irving, Texas, more than 200 business and technology leaders gathered to explore how large enterprises are moving from AI experimentation to disciplined, measurable execution.
From Prediction to Practice
The event began with a customer dialogue featuring Kari Ramseth, HR Service Center Leader at AMD, who demonstrated what scaling AI responsibly looks like in the real world.
Her team had launched an HR virtual assistant designed to handle roughly 30% of employee inquiries. Expansion came only after the system demonstrated both accuracy and trustworthiness. Within weeks, the assistant was managing thousands of HR inquiries per week — efficiently, consistently, and still allowing humans to engage where empathy and nuance mattered most.
“We went live saying it could answer about 30% of employee questions,” Ramseth said. “Now we’re seeing thousands handled each week — faster, more consistently, and still human where it matters.”
The message was clear: this wasn’t about automation hype, but about dependability through design. AMD’s example set the tone for a day centered on precision, governance, and sustainable innovation rather than unchecked acceleration.
From Projects to Platforms
In the opening strategy briefing, Michael Kropidlowski, Chief Marketing Officer at Kore.ai, outlined how organizations are transitioning from fragmented pilot projects to enterprise-wide AI platforms.
He explained that governance, security, and design now converge to define success. Intelligent systems must operate not as isolated tools, but as extensions of enterprise discipline — connected, compliant, and coordinated.
Cathal McCarthy, Chief Strategy Officer at Kore.ai, expanded that perspective, noting a shift from velocity to coherence.
“After three years of experimentation since GPT-3, it’s becoming clear that the key to enterprise success lies in single-platform solutions,” McCarthy said. “Agentic tools have driven off-the-chart velocity, but the next frontier is orchestration — managing that speed through shared standards and control.”
He projected that by 2028, nearly 95% of enterprises will run AI in daily operations. The competitive advantage, however, will belong to those that unify their AI ecosystems under a centralized backbone, not those drowning in disconnected tools.
Market Perspective: The Governance Gap
In an analyst session, Craig Le Clair, Vice President and Principal Analyst at Forrester Research, framed this transformation with hard data.
He revealed that two-thirds of Forrester’s executive inquiries now revolve around AI orchestration and governance — a sign that the age of pilot projects is over.
Le Clair described this as the next “frontier of competitiveness.”
Companies that build governance and observability into their AI frameworks from the start maintain momentum, while those who scale first and standardize later often find themselves rebuilding under pressure.
“The winners,” he noted, “will be the ones who can grow fast and stay in control.”
Coordination in Practice
The technical deep-dive came from Cobus Greyling, Chief Evangelist at Kore.ai, who positioned coordination as the defining capability of modern enterprise AI.
“The challenge isn’t access to AI anymore,” Greyling said. “It’s coordination — getting systems, agents, and humans to work together safely and effectively.”
Greyling demonstrated how orchestrated AI agents can now execute complex, cross-departmental workflows end-to-end, maintaining audit trails, transparency, and explainability at every step.
The takeaway resonated across the audience: autonomy has value only when it remains observable and accountable.
Interactive Tactical Boards: Strategy in Motion
Throughout the venue, Kore.ai’s interactive tactical boards encouraged participants to chart their organizations’ AI journeys — plotting ROI metrics, scaling challenges, and platform strategies in real time.
This live data visualization turned insight into action, giving attendees a collective snapshot of how global enterprises are adopting AI responsibly while balancing agility with structure.
Executives could see where their peers stood — in readiness, adoption, and governance maturity — creating an open dialogue on best practices for scaling AI securely.
The Executive Lens: Measuring Performance and Risk
The day concluded with an executive boardroom discussion featuring Nolan Waltman of First Service Credit Union, alongside Craig Le Clair and other senior leaders.
The conversation centered on performance, risk, and measurable value — how to convert AI adoption into sustainable ROI. The concept of “AI control towers” emerged, describing centralized frameworks for overseeing hundreds of systems, ensuring compliance, and maintaining transparency across business functions.
Waltman emphasized the financial lens: “Performance metrics must tie back to measurable outcomes. That’s the only way to prove sustained value.”
Le Clair added, “Innovation today isn’t about speed alone — it’s about governance that lasts.”
The Dallas Signal: From Acceleration to Architecture
The Dallas stop of re:imagine 2025 marked a turning point in the enterprise AI conversation.
If the last few years were about rapid deployment, 2025 is about disciplined execution.
From AMD’s proof-based rollout to McCarthy’s single-platform imperative and Greyling’s orchestration model, a clear blueprint for intelligent operations emerged.
AI is no longer a novelty layer — it is core enterprise infrastructure, governed by the same standards as finance, supply chain, and customer service.
Leaders left with a sharpened focus and three clear priorities for the year ahead:
- Unify fragmented tools into integrated platform ecosystems.
- Design observability and auditability into every workflow.
- Measure ROI and compliance with the same rigor as financial performance.
As one attendee reflected while leaving the Astoria Event Venue:
“We’re not building AI skyscrapers anymore. We’re designing cities — systems that can scale, support traffic, and stand the test of change.”
Conclusion: AI as Enterprise Infrastructure
The Dallas session underscored a critical evolution — AI is becoming the enterprise backbone, not just an experimental add-on.
The focus is shifting from speed to stability, from projects to platforms, and from automation to accountability.
The re:imagine 2025 tour continues to signal a defining truth:
AI success isn’t measured by how fast organizations move — but by how safely and sustainably they scale.
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