About RMG Associates

Senior Operators,
Not Consultants.

Roy Gatling

Founder & CEO

Roy Gatling has spent 30+ years inside the gap where value is actually won or lost — between a strategy on paper and an operating model that delivers it. At Dell, Adobe, and Micron, he led transformations measured in hundreds of millions of dollars, in environments where a flawed operating decision shows up on the P&L, not in a slide deck.

That is the lens he brings to AI. When generative AI arrived, Roy didn't approach it as a new tool to evaluate — he approached it the way he'd approached every prior transformation: as an operating-model question. He went deep early, building and shipping a retrieval-augmented application in 2024 when the models were far less forgiving than they are today. That work wasn't about the technology. It was about understanding, at an implementation level, exactly where AI breaks inside a real business — and what it takes to make it stick.

RMG Associates was founded on a single observation from that experience: most mid-market firms aren't failing at AI because the tools don't work. They're failing because they're running a fundamental operating-model transformation as if it were a technology project. That misdiagnosis is expensive — and it's exactly the kind of problem Roy has been hired to fix for three decades.

Dell logo

Enterprise Operations

Micron logo

Strategic Execution

Adobe logo

Process Transformation

Roy Gatling, Founder and CEO of RMG Associates

Our Conviction

"AI isn't failing because the tools don't work. It's failing because there's no operating model change."

Follow our CEO

Leadership Team

Operators who translate AI strategy into governed execution.

RMG Associates brings senior leaders who help executive teams move from AI curiosity to adoption-ready operating practices.

James H. Meeker, VP of AI Implementation at RMG Associates

James H. Meeker

VP of AI Implementation

AI implementation is not a software rollout. It is an operating-model change that has to be translated into workflow, governance, adoption, measurement, and executive confidence.

James H. Meeker has spent 30 years bringing complex technology products to market at enterprise scale — the discipline of getting an entire organization aligned, accountable, and moving in the same direction. That is the hard part of AI transformation, and it is the part most AI specialists have never done.

He applies that discipline to a single job at RMG: turning AI strategy into operating practices a leadership team will actually adopt. That means identifying the few high-leverage use cases worth pursuing, aligning the executive sponsors who own them, shaping pilot programs that produce measurable results, and building the adoption and communication plans that make change stick past the kickoff meeting. The focus is never tool enthusiasm. It is execution that changes how work gets done — and the executive confidence to keep going.

Jason Echols, Marketing, Infrastructure and Implementation at RMG Associates

Jason Echols

Marketing, Infrastructure and Implementation

Jason Echols spent more than 20 years inside one of the most technically demanding markets in enterprise hardware — leading global product and technical marketing at Micron across AI, data center, and cloud, working directly with ecosystem partners including NVIDIA and AMD. He has run cross-functional launches and built the narratives, enablement, and messaging that move complex technical products through large organizations.

He now points that same operating instinct at AI implementation: designing the agents, workflow automation, and custom systems that take a team from AI experimentation to durable operating capacity — across product, marketing, legal, security, and operations functions. The work is grounded in one operating question: where can AI reduce friction, speed up decisions, and help teams produce better work at scale?

Having built for the partners whose hardware powers today's AI, Jason understands the full stack — from the silicon up to the workflow — which is rare in a field where most practitioners only see the application layer.

Dave Gannon, Gov/Fed, Infrastructure, Data, Security at RMG Associates

Dave Gannon

Gov/Fed, Infrastructure, Data, Security

Over a 30-year career, Dave Gannon has built, secured, and modernized mission-critical systems for the most demanding clients in the world — the U.S. Army, Navy, and Marine Corps, and the Departments of State, Transportation, and Energy. In those environments the margin for error is zero, and that is exactly the discipline he brings to AI adoption in regulated, high-stakes organizations.

What sets Dave apart is that he works at the intersection of program leadership and deep technical fluency. Where most program managers depend on their teams to translate the technology, Dave digs in himself — across AI, RPA, cloud, software development, databases, and security. That hands-on command means he asks sharper questions, surfaces problems earlier, and earns the trust of both the engineers and the executives he serves.

His focus is direct: help organizations use AI to meaningfully improve efficiency and productivity while holding the security and compliance standards their missions demand — implementation under real operational pressure, not in theory.

Frequently Asked Questions

What you need to know before reaching out.

Who is a typical RMG client?

Mid-market CEOs and C-suite executives at firms with $10M–$500M in revenue who are grappling with strategic business pressures — not just technology implementation. Our clients are typically facing competitive velocity pressure, margin compression, or a board that is asking hard questions about AI readiness.

How is your pricing structured?

Our pricing is anchored to financial impact, not hours. AI Strategy Alignment & Planning is typically USD 29,000 – 59,000. AI Pilot Program is typically USD 95,000 – 250,000+, with most pilots landing between 180,000 and 250,000 USD depending on complexity. AI Advisory (Fractional AI Officer) is typically $18K–$32K per month on retainer. We don't bill by the hour because our clients are buying outcomes, not time.

Do you require a deposit?

Yes. We require a 30% deposit to begin work on AI Strategy Alignment & Planning or AI Pilot Program engagements. The remaining balance is structured against agreed delivery milestones. For longer pilot engagements, we typically structure payments in 30-day tranches tied to milestone delivery.

What industries do you work in?

We work across industries — professional services, manufacturing, distribution, healthcare services, and technology. The operating model challenges we address are not industry-specific. What matters is organizational scale ($10M–$500M), executive-level engagement, and a genuine commitment to transformation.

How do you handle confidentiality?

All engagements are governed by a mutual NDA executed before any substantive conversation. We do not share client names, industries, or outcomes without explicit written permission. Our case studies are anonymized by default.

What if AI isn't the right answer for our organization right now?

We will tell you. Our approach is pragmatic — we have spent decades in large organizations and we know the difference between a technology problem and an operating model problem. If our discovery and planning work reveals that your highest-leverage opportunity is not AI-related, we will say so. We don't sell AI for its own sake.

Ready to have a different kind of conversation?

The first step is a confidential discovery call. No pitch, no commitment — just a direct conversation about where your organization stands and where the highest leverage is.

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