An autonomous AI agent platform: you give an agent a goal in plain English and it plans, uses real tools, and delivers the finished work.

Is there a free plan?

Yes. Actus has a free plan to get started, with paid plans that add higher limits and advanced features like scheduled automations and team workspaces.

Can agents run automatically on a schedule?

Yes — agents can run hourly, daily, or on a custom cadence, so routine work happens automatically without you starting it each time.

How is Actus different from a chatbot?

A chatbot replies with text. An Actus agent takes action: it uses real tools to research, write, build, and send, then returns a finished deliverable instead of just advice.

Do I need to know how to code?

No. You describe your goal in plain English and the agent plans and executes the steps. Agents can write and run code when a task needs it, but you never have to.

Do I stay in control of what an agent does?

Yes. Irreversible actions require your approval, every run has budget and step limits, and each step is logged so you can see exactly what happened.

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AI Agents Versus Workflow Automation

Actus · October 5, 2026

AI agentsworkflow automationbusiness systemsRPA

AI Agents Versus Workflow Automation

AI agents and traditional workflow automation solve different kinds of problems. A rules engine is excellent when the input and output are predictable. An agent is useful when the work requires interpreting messy information, choosing among actions, and adapting to context. The right choice depends on the task, not on which label sounds newer.

Traditional Automation

Rule-based automation follows explicit conditions: when a form is submitted, create a record; when a payment succeeds, send a receipt. It is predictable, testable, and easy to audit. Use it when the process is stable and exceptions are rare.

AI Agents

An agent can read text, inspect a website, summarize evidence, classify a request, draft a response, or decide which specialist step should run next. It is better suited to variable inputs and research-heavy work. It also requires stronger verification because a plausible output is not automatically a correct one.

A Hybrid Design

Most practical business systems combine both. An agent interprets an inbound request and proposes a category. Rules validate required fields, route the record, stop duplicates, and enforce permissions. The agent prepares; deterministic automation controls the boundaries.

Decision Checklist

Choose rules when the process is stable, the decision is binary, errors are costly, and the data is structured. Choose an agent when language or visual context matters, the inputs vary, and a human can review exceptions. Choose hybrid when interpretation and compliance both matter.

Example

A website inquiry can trigger an agent to summarize the project and identify missing context. A rule then checks whether contact details exist, creates the CRM record, assigns an owner, and starts only the approved follow-up path. No single technology has to do everything.

Conclusion

AI agents are not replacements for every automation. They are a flexible layer for work that rules alone cannot interpret. Actus Agent helps teams combine research, reasoning, artifacts, and operational steps into workflows with clear verification. Learn more at https://actusagent.cc.