The Rise of Citizen Developers
Enterprise software has followed the same pattern for years. Business teams identified problems. IT got involved. Requirements were written. Vendors evaluated. Development queues formed. Months later, the workflow finally changed, often after the original need had already moved on.
AI is starting to break that model.
People closest to the work can increasingly build the initial version of the solution themselves. Not production-grade applications. Not fully autonomous systems. But real workflows, automations, copilots, approvals, onboarding tools, reporting layers, and operational software that solve immediate problems.
Some call this "vibe coding." In enterprise environments, it looks more like the rise of the citizen developer.
The real shift isn't that everyone suddenly became an engineer. It's that AI has dramatically lowered the barrier between identifying a workflow problem and actually solving it. The bottleneck is moving away from technical syntax and toward operational understanding. The people who know the work best can now shape the software directly.
That creates real upside. Teams move faster. Internal tooling gets more specific. Expensive point solutions get replaced with workflows built around how the business actually operates. Iteration cycles shrink from quarters to days.
But it also creates a new problem.
AI-generated workflows without structure quickly become the next generation of shadow IT. Fragile automations. Disconnected prompts. Unknown dependencies. No permissions model. No audit trail. There is no visibility into how decisions are made.
The future of enterprise AI isn't just about giving employees AI tools. It's about giving them governed environments to build inside of.
The companies that win this next phase will be the ones that successfully combine the speed and creativity of citizen developers with the controls, visibility, and reliability enterprises actually require.
That's the thinking behind Greenlight by Shift.
Not replacing IT. Not replacing engineers. Not handing the keys to unmanaged AI agents. Giving enterprises a controlled way to let the business build closer to the work itself.