Every great idea has a moment before the moment.
Before the product roadmap, development team, pitch deck, or launch, there is often a quieter moment — a conversation, a question, a realization — that sets everything in motion.
For Austen Robinson, that moment came through a series of conversations with his grandmother, Alana, and a question that kept returning: What happens to all of this knowledge eventually? The answer became Cadenza.AI.
My grandmother has always been very technology-forward,” Austen recalls. “She spent her career in IT, so she wasn’t someone I had to convince that technology was changing the world. If anything, she was curious about it herself.
Before the Business
Austen Robinson is now a freshman at Morehouse College (Class of 2030), the same institution where his father, Robbie, earned his degree more than two decades ago. A detail that reflects how his family has always thought about the future.
But long before Morehouse, Austen had already begun his education in business.
At twelve, he was buying and reselling sneakers and streetwear in Los Angeles. He studied what products moved, negotiated prices, and paid close attention to what people his age actually wanted. He didn’t think of it as market research at the time. Looking back, that is exactly what it was.
By high school, he had turned that instinct into a grassroots marketing business built around a simple observation: brands wanted to understand younger consumers, but the people making those decisions were rarely connected to what was actually happening inside high schools, communities, and culture.
He wanted to close that gap.
“I’ve always liked looking at something that already exists and asking, ‘How could this work better?’” Austen reflects. “That eventually became a big part of how I started looking at RGC.”
The Question That Started Everything
Growing up, Robinson Group Consulting was always present in the background of Austen’s life. He knew his grandparents, Alana and E. O’Neal Robinson, had built something significant. But for much of his childhood, he was focused on finding his own path.
That began to change after his grandfather passed.
Austen started spending more time with Alana, asking questions about the firm and learning more about what she and O’Neal had spent decades building together.
“I wanted to spend time with her, keep her engaged in something she was passionate about, and learn from her while I had that opportunity.”
The more questions he asked, the more he began to see RGC differently.
What existed inside the firm was over two decades of experience, judgment, frameworks, and lessons learned from solving complex organizational problems. And that led Austen back to the question about its continuance.
“My grandmother had spent decades developing this experience. I didn’t want that methodology to only exist in her head, in old engagements, or in documents somewhere. I started thinking about whether we could preserve that knowledge while also making it more efficient and scalable.”
Seeing What Others Missed
At the same time, Austen was watching the AI landscape closely.
He saw companies racing to build new AI businesses, often beginning with the technology and then searching for the problem it could solve.
RGC presented the opposite opportunity.
“RGC already had the difficult part: the experience. AI gave us a completely different way to deploy that experience.”
That distinction became foundational to Cadenza.AI.
Whenever you have something that is structured and repeatable, there is an opportunity to use technology to make it faster.
Rather than asking artificial intelligence to invent a methodology, Austen began asking how AI could help execute a methodology human experts had spent decades developing and refining in the real world. The technology would amplify institutional knowledge and extend its reach across the organization.
The Methodology Was Already There
As Austen looked more closely at how RGC approached client engagements, he saw something important. The process was already structured end-to-end, from assessment through execution planning.
Done manually, that process could take months. There were documents to review, stakeholders to interview, systems to understand, findings to analyze, and recommendations to translate into something leadership could act on.
But the underlying methodology was repeatable.
“Whenever you have something that is structured and repeatable, there is an opportunity to use technology to make it faster.”
The goal was never to replace RGC’s methodology. It was to preserve what worked while reducing the manual effort surrounding it, allowing the firm’s expertise to reach organizations at a scale a traditional lean consulting team alone could not.
“We weren’t sitting down saying, ‘Let’s build an AI product. What should it do?’ We were starting with more than 20 years of RGC experience and asking, ‘How do we productize what already works?’”
That is also where Cadenza.AI begins to separate itself from a general AI tool.
The platform generates answers while examining an organization through the specific lens RGC developed over decades of work—identifying what to look for, what may be missing, the questions that should be asked, and helping leaders determine what matters most.
The Conversation
When Austen brought the idea to Alana, there was no formal founder pitch.
The idea grew naturally from their conversations.
“My grandmother has always been very technology-forward,” Austen recalls. “She spent her career in IT, so she wasn’t someone I had to convince that technology was changing the world. If anything, she was curious about it herself.”
The question became simple: Why couldn’t we do this with RGC?
What followed was a grandmother and grandson learning together — Austen absorbing decades of consulting knowledge while Alana explored what AI and product development could mean for the firm.
“What made it fun was that neither of us approached it like we had all the answers. It became something we could learn together.”
For Austen, her enthusiasm confirmed something important. Cadenza.AI was not about replacing what RGC had built. It was about giving that work another life.
What Honoring a Legacy Actually Means
For Austen, legacy is not about preserving RGC exactly as it has always been. It is about protecting what made it valuable: the relationships, the judgment, the methodology, and the ability to look at an organization, identify what others may miss, and develop a clear path forward.
Those things should not disappear because technology changes.
The CIO on demand solution creates a way to carry them forward.
“One of the most meaningful parts of this entire process has been seeing a new excitement in my grandmother. It’s not only about building a product. It’s seeing her have something new to learn, something new to build, and another vision for what RGC can become.”
There is also humor in the partnership.
“We joke that she’s never going to retire anyway, so I might as well keep giving her new things to work on.”
What Cadenza.AI Is Built to Do
The vision for Cadenza.AI is precise. Organizations using the platform should feel as though they are accessing RGC’s thinking, not simply interacting with software.
Cadenza.AI is an AI-powered virtual CIO advisory platform built on more than 20 years of RGC methodology. It analyzes an organization’s existing IT documentation, identifies gaps across key diagnostic areas, and translates those findings into prioritized, actionable recommendations leaders can use to make better decisions.
Speed matters because work that could traditionally require weeks or months of review can now be significantly accelerated, allowing the value to come from the thinking behind the analysis.
“I want someone using Cadenza to feel like the platform understands their organization, challenges them, identifies things they might have missed, and gives them recommendations that feel specific to their situation.”
That is also why Austen does not see AI and human expertise as competitors.
AI creates enormous efficiency. It can analyze information, organize it, identify patterns, and handle work that could take a human significantly longer. But humans still have to think. Humans have to understand context. They have to innovate. They have to challenge assumptions.
Access to AI will increasingly become commonplace.
The advantage will come from the thinking, experience, and methodology behind it.
“That’s why we don’t see Cadenza as replacing human expertise. We see it as allowing human expertise to operate at a completely different scale.”
More Than a Business
Three generations of the Robinson family have now touched RGC.
Alana and O’Neal built the firm from nothing, turning a corporate setback into a business that would span more than two decades. Their son, Robbie, grew up watching that work take shape. Now Austen — Robbie’s son and Alana’s grandson — is helping carry it into territory none of them could have imagined when RGC began.
“After my grandfather passed, I spent more time with my grandmother. Through that, I started learning about this company my grandparents had spent decades building together. Now we’re creating its next chapter together.”
That is the part of the Cadenza.AI story that will never appear neatly on a product roadmap. It is experience meeting possibility, legacy meeting innovation, and a methodology built through decades of work finding a new way to move.
“Cadenza is a way of preserving what my grandparents built while allowing me to add something of my own to it. It’s their legacy, my grandmother’s experience, and now my generation’s technology coming together.”
Next in the RGC Story Series: The story of how Cadenza.AI was engineered — the philosophy, security-first approach, and team that made it possible.
September 29, 2026
