Build deterministic agents thatactually follow your process

Give agents ready actions from the apps you use, or build no-code workflows for the processes that need more control.

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Why AI agents break down in real operations

Unpredictable behavior

No matter how hard you prompt, the agent still does its own thing and ignores the rules.

Workflow structure preview

Fragmented visibility

Decisions, tool calls, approvals, failures, and costs are scattered across chats, logs, and internal tools.

Connected systems preview

Unclear boundaries

The agent doesn't know what it can do on its own and what needs a human.

Workflow publishing preview

Workflows trapped in prompts

Critical business logic gets buried in long instructions instead of living in repeatable, testable processes.

HR agent instructions preview

How Controller AI works

Instead of giving AI full autonomy, Controller AI lets you define clear processes. Your agents execute tasks intelligently while staying within the boundaries and rules you set.

Attach ready actions

Give an agent one operation from the apps your team already uses, without building a workflow first.

Design reliable workflows

Orchestrate multi-step processes with branches, transformations, state, and a clear execution history.

Set control & visibility

Decide what your AI agents can do on their own and what requires human approval. Every action is logged and traceable.

Turn processes into executable logic

Build step-by-step workflows using a visual no-code builder.

Give agents real operational capabilities

Attach a ready Integration action for one operation, or a Workflow tool when the capability needs orchestration.

Real teams. Real processes. Real control.

Background

Build an agent you can trust

Set the process once. Your agent follows it every time.