Controller AI

Controller AI is a platform for building deterministic AI agents that follow your defined processes instead of acting unpredictably. It lets you give agents ready actions from the apps your team already uses, or build no-code workflows for multi-step tasks that need more control. The core idea is simple: instead of letting an AI agent do whatever it wants based on a vague prompt, you define clear boundaries, steps, and rules it must follow.

The platform works in three main ways. First, you can attach a single operation from a connected app directly to an agent — no workflow needed. Second, you can design reliable multi-step workflows using a visual node-based builder, with typed inputs and outputs, subflows, version history, and debugging tools. Third, you set control and visibility: decide what the agent can do on its own and what requires human approval. Every action is logged and traceable, so you can inspect runs step by step.

Controller AI is built for teams that want to trust AI in production but can't afford unpredictable behavior. Real users report dropping error rates on customer refunds from 8% to nearly zero, processing thousands of resumes consistently, and handling 80% of vendor onboarding end to end with human approval only for high-value cases. It's especially useful for operations teams, business process owners, and engineers who need AI agents that actually follow the rules.