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Agentic automation

Agentic automation
with every decision on the record.

Caddi's agents find the work, learn it from the person who does it, and build the automation. Then verified code runs it, and every decision is logged for review.

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Agents that build

The agent's job is to build the automation, not to improvise it.

In Caddi the agent does the part AI is good at: watching a demonstration, writing the plan, asking about the edge cases. What runs in production is the approved plan as verified code, so the tenth run behaves like the first.

  • AI builds it, verified code runs it
  • Any model step inside a run is scoped and logged
  • Changes go in through plain-English requests you approve
Judgment

It asks before it guesses.

When a demonstration leaves a branch unexplained, the agent turns it into a question for the person who knows the answer. The answer becomes part of the plan, not a prompt it has to remember.

Governance

A weekly account of what every agent did.

Each automation keeps a running record: what it ran, what it touched, what it skipped and why, summarized for the week. Leadership reads it across the firm in one place.

Compare

Agentic automation vs autonomous agents

Autonomous agents decide what to do on every run. That is powerful for open-ended tasks and hard to sign off for back-office work that has to happen the same way every time.

QuestionAutonomous AI agentsCaddi
At runtimeA model decides each stepAn approved plan runs as verified code
RepeatabilityVaries with the prompt and the modelDeterministic steps, scoped AI steps
ReviewTranscripts, if they are keptEvery run and decision logged and reviewable
Who changes itWhoever edits the promptThe owner, in plain English, with approval
FAQ

Questions we get asked

What is agentic automation?
Agentic automation uses AI agents to plan and build automations, then runs them with the reliability of traditional automation. The agent handles understanding the work; execution stays predictable and logged.
How is it different from RPA?
RPA replays recorded clicks and breaks when a screen changes, and someone technical has to build and fix it. In Caddi an agent builds the automation from a demonstration, asks about the edge cases, and runs it through integrations rather than screen coordinates where an API exists.
Can the agents do things we did not approve?
What runs is the plan you approved. Changes go through a request you review, and every run is logged with what it touched.
Does AI run inside the workflows?
Yes, where a step needs judgment, such as reading a document. Those steps are scoped to the step, logged and reviewable, and the rest of the run is deterministic code.

What is agentic automation? The full guide