Toppe//Digital is an open knowledge base for building with AI — design patterns, best practices, and field notes from real work. It's written in public, as things are learned, and shared freely with anyone building in the same direction.
The Founder
Joe Toppe
Joe is former Global CTO at MRM, the digital agency in one of the top 3 advertising holding companies, and an alumni of WPP, Microsoft, and GE, and currently driving AI native transformation in Private Equity at Red Ventures. He’s worked internationally with Fortune 500 companies driving digital transformation.
His career created an unusual vantage point: the ability to see both what legacy organizations are capable of and where they systematically fail to evolve. The last year he spent operating inside an AI-native startup added something most enterprise advisors don't have — firsthand understanding of what agentic AI looks like in production, scaled, and adapted to regulated industries. Not in a pilot. In a product.
This is the rare combination of legacy organizational complexity and AI-native fluency that enterprise transformation actually requires.
What We Believe
Something fundamental has changed. The way we build software is changing, and the economics have shifted as agents take over the building. Anyone with domain knowledge and the right tools can now build working software, automated workflows, and intelligent agents, without a traditional engineering team.
This changes competitive advantage permanently. The organizations that build proprietary data pipelines, proprietary agents, and proprietary AI-powered workflows will compound an advantage that cannot be purchased off the shelf. The ones that keep outsourcing AI capability to vendors and systems integrators will pay more and own less every year.
Speed is now a survival trait. Markets are reshaping faster than annual planning cycles can track, and the moat is no longer a fixed position. It is the ability to read a shift and move on it in weeks, not quarters. The organizations that own their stack can pivot. The ones waiting on a vendor roadmap or a budget cycle cannot. You do not turn fast on infrastructure you do not control.
And none of this is a tooling upgrade. AI-native organizations work differently at the level of how decisions get made, how work moves, and how teams are shaped. The technology is the easy part. The operating model underneath it is where the real transformation lives, and the change management is where most efforts quietly stall. Companies do not fail at this because the tools broke. They fail because the organization never actually changed how it works.
But a working demo is not a running business. Building an agent is easy now. Running agentic workloads in production is the hard part: server-side, against real data, inside regulated environments, without ever losing control of security or audit. That is the line where most AI programs stop. They ship an assistant and call it transformation. AI-native means agents doing the actual work in production, not a chatbot bolted to the side of the old operating model.
Run them without discipline and you get chaos, not capability. Ungoverned agents proliferating across the stack. Data moving in ways no one has mapped. Security postures eroding quietly. Agent sprawl is the shadow IT problem of the AI era, except faster, less visible, and harder to unwind. The answer is not fewer agents. It is a governed platform to run them on. Server-side, observable, secure by default.
That is what we exist to serve. Help organizations become builders. Help them rewire how they operate. Help them run agentic work in production without losing control of it. Build fast. Run it clean. Own what you build.