TD SYNNEX’s Matthew Geer on the promise and pitfalls of No Code AI platforms, tools that let non-developers build AI-powered apps and automations without coding — and why governance and creativity both matter more than ever.
With AI evolving at record speed, the rise of no-code development tools is empowering a new generation of problem solvers — not just seasoned developers — to build powerful solutions. We sat down with Matthew Geer, Sr. Director, Global Google Lead at TD SYNNEX and an AI enthusiast, to explore how these tools are transforming business, the real-world results already emerging, and how organizations should approach governance amid this wave of rapid democratization.
Q: How do you see no code AI platforms transforming the way businesses approach automation and innovation?
Matthew Geer: There are two big ways we’re seeing transformation. On the positive side, companies are looking at their existing business processes and workflows — even those already somewhat automated — and asking: “Where can we insert intelligent agents to further optimize this?”
But there’s a flip side. As these tools become more accessible, they’re enabling a rise in shadow IT — where individuals or teams deploy their own solutions under the radar. It’s exciting to see employees take initiative, but the challenge is ensuring these efforts are manageable and sustainable over time. That’s where governance becomes mission-critical.
Q: What role does AI play in democratizing access to technology for non-technical users?
Geer: That’s what makes this so powerful — and also what makes it dangerous if unmanaged. AI is giving non-technical users a totally new lens on their work. Suddenly, they can envision and automate workflows without needing a traditional development background.
But democratization brings responsibility. When users can implement meaningful automation themselves, the need for guardrails grows. Organizations have to think about how they’ll support governance, visibility, and accountability while still encouraging innovation.
Q: Based on what you’re seeing, how are companies actually using no code AI in practice?
Geer: A lot of what we’re seeing right now is rapid prototyping — and that’s exciting on its own. But I’ve also taken a complex web application all the way from prototype to scalable production, using nothing but prompts. That’s not just impressive; it’s a clear signal we’re standing at the edge of a real transformation.
People know what they want to improve. They have processes they’d love to optimize or agents they’d like to deploy — but they don’t always have the technical expertise or time to build things the traditional way.
These tools change that. With the right platform, a single prompt can turn into a working proof of concept in minutes. And for power users, there’s virtually no ceiling. When the tools are in place, the gap between idea and execution disappears.
Looking ahead — and in this space, “ahead” could mean just a few months — we’ll start to see more production-ready use cases. Platforms will mature, offering stronger governance, observability, and scalability. That’s when no-code AI becomes more than a prototype tool — it becomes enterprise infrastructure.
Q: What’s an example of a project where no code AI delivered tangible, measurable results?
Geer: I’ve got two examples that really show what’s possible.
The first was a project involving a massive list of manufacturer SKUs. Each item had only basic info — just a name and a short description. Using a no-code AI tool, we went from a simple prompt to a fully functional application in under 10 minutes.
The app used generative AI to categorize each SKU with IDC classifications, enriching the data with additional context for downstream tasks. We even extended it to infer likely product pairings — a task that would typically call for a full-blown machine learning pipeline. This was just a POC and a relatively simple set of steps, but we delivered it in minutes with intuitive, usable results — no manual coding, no ML engineering required.
The second example focused more on communication. I was designing a structure for an AI learning journey. Instead of creating a traditional slide deck or a multi-page curriculum document, I used no-code tools to build a dynamic, single-page web app. It visually and interactively presented the full learning experience — course flow, content, assets — in a way that was far more engaging and impactful than static formats.
That experience was a game-changer. We can now build apps not just to do things, but to communicate ideas. We’re moving beyond documents and slides to create rich, interactive experiences — and it’s all within reach, even for non-developers.
Q: How does this shift affect marketing and communications professionals?
Geer: For all the disruption of the creative site of marketing and communication I think we lose sight of the opportunities on the strategy and delivery side. No-code can be transformative. We often talk about gamification in education or management — which is just the idea of making things more engaging by turning them into interactive experiences.
What if we brought that same approach to communications? Instead of advancing through slide (which AI still isn’t great at building), or writing an email that looks functionally similar to a letter written in 500BC, you’re sending an email where the content is an interactive infographic, clicking into what you care about, seeing content dynamically adapt to your interests. That’s gamification too — not in a competitive sense, but in an engagement sense.
No code tools are unlocking this for the average communicator. You no longer need a dev team to test these ideas. You can try them yourself — today.
Q: Bringing it back to TD SYNNEX, how do our vendor partners fit into this no code AI opportunity?
Geer: This space is evolving incredibly fast. What feels novel today becomes commoditized tomorrow. That’s not a bad thing — it means we’re seeing a flood of impactful features, but it also means those features quickly become embedded into broader platforms.
Take Google Gemini. It’s gone from a standalone concept to being integrated across Google Workspace and GCP. You can now architect infrastructure with prompts. Likewise, Microsoft’s Copilot and Copilot Studio are becoming indispensable across productivity and developer workflows.
At TD SYNNEX, we’re uniquely positioned because we have a strong vendor line card of companies that are not just innovating — they’re curating great experiences across these tools. The winners won’t be defined by single features. They’ll be defined by how well they integrate these capabilities to create cohesive, usable, high-impact platforms.
And even more exciting: beyond the big names, we’re also going to see new vendors emerge who invent entirely new workloads we didn’t even know we needed. That’s where TD SYNNEX can help partners navigate the signal from the noise.
Q: Any final thoughts on how to stay focused in a space that’s innovating so rapidly?
Geer: The best advice I can give? Don’t chase every shiny new tool or headline. Focus on the broader ecosystem and how these innovations are converging.
Every time a new feature is announced, ask yourself: “What platform will this become part of?”
That mindset helps avoid innovation fatigue. You’ll spend less time reacting and more time planning how to integrate what matters.
These tools are powerful. But it’s how we bring them together, with intention and context, that will define real success.
Want to explore what No Code AI could do for your business?
TD SYNNEX connects partners to leading tools, guidance, and platforms that make it easy to get started — responsibly and at scale.
If you’re interested in learning more about AI, especially the latest on agentic AI, check out the recent episode of the High-Growth Equation series.
