Dallas Stop of RE: Imagine 2025 opens with evidence rather than prediction. With a customer dialog Carrie Ramseth of AMD, HR Service Center Leader, explained what the discipline scale looks like in practice.
His team introduced an HR assistant to handle about 30 percent of employee inquiries, which spread only after validation and trust were confirmed. I was managing it this month Thousands of inquiries a week.
“We went live saying that it could answer about 30% of employee questions,” Ramsit said. “Now we’re seeing thousands of people handled every week.
The point wasn’t automation hype or trend chasing, but dependability by design. That perspective and others resonated with a room of more than 200 business and technology leaders Austria Event location in Irving, Texas.
From projects to platforms
In the inaugural strategy briefing, Corey.E Chief Marketing Officer Michael Krupadlowski explained how businesses are moving from pilots to platforms.
He explained how intelligent systems serve as an extension of enterprise disciplines by changing governance, security, and design. Cathal McCarthy, Cor.E.’s chief strategy officer, expanded on this theory.
“After three years of experience since GPT3, it’s emerging that the key to enterprise success lies in a single platform solution.”
McCarthy noted that agent tools have driven what he called “off-the-charts momentum.” But the next step is coordination: managing that momentum through orchestration and common standards.
By 2028, nearly 95 percent of enterprises will run AI in daily operations. The advantage lies with those who unify it under one roof instead of scattered tools.
Market approach
Later the analyst class With Craig LeClair, forVP of Maintenance and Principal Analyst, add data to this framework. He reports that two-thirds of Forrester’s executive inquiries now center on orchestration and governance. Leaders who have scaled are now asking how Managing dozens of autonomous systems without fragmentation.
LeClair describes this gap as the next competitive frontier: Companies that build governance from scratch tend to maintain momentum rather than reinvent it.
Coordination in practice
a Technical Research, Cobbs Grilling, Kore.ai’s chief evangelist, reviewed Synergy as a clear potential for enterprise AI.
“The challenge is no longer access to AI,” Grayling said. “It’s synchronicity – getting systems, agents and humans to work together safely.”
It showed how orchestrated agents can now complete end-to-end complex, cross-departmental workflows while maintaining full audit trails. Insight made clean: Autonomy becomes valuable only when every decision is observable and explainable.
Interactive tactical board
Throughout the venue, Cor.E’s tactical boards invited attendees to map their organization’s AI journey. The visualization of live data turns enterprise challenges into a common benchmark, offering a real-time snapshot of how leaders are responsibly scaling AI.
Executive lens
The day ended with a Boardroom discussion Featuring FSCU’s Nolan Waltman. Their focus: efficiency, risk and return.
Oliver described enterprises building “AI control towers” to unify monitoring and compliance across hundreds of systems. Waltman added to the financial perspective: measurement results are the only way to prove consistent value. LeClair closed by emphasizing that innovation is no longer just about speed, but about the governance that drives it.
Throughout the day, one theme reigned supreme: Enterprises are no longer building AI skyscrapers. They are designing cities. Every model, agent and workflow must fit into an infrastructure that can safely scale, support traffic and cope with change. The winners will be those who master urban planning, not just construction.
The Dallas Signal
Dallas demonstrated how large organizations are coding AI and moving from rapid deployment to disciplined implementation.
For example, from AMD’s scalable rollout to McCarthy’s single-platform imperative and Grayling’s coordination model, creating a blueprint for the next era of intelligent operations.
AI is becoming infrastructure, governed by the same standards that define finance, supply chain and customer service.
Leaders were left with clear priorities for the coming months:
- Unify tools scattered across the platform ecosystem.
- design to observe in each workflow;
- Measure ROI as rigorously as any enterprise system.
As one participant noted leaving Astoria Hall, the conversation has focused on accountability and ways to build AI that performs predictably, safely and at scale.