Start with the shape of the task
Before choosing a tool, describe the task: where the input comes from, which decisions are made, which systems are touched and what happens when something unusual arrives. Rule-based, repetitive work with stable screens suits different tools from work that involves reading messy emails or making judgement calls.
Workflow automation connects systems through APIs
Tools such as n8n, Make, Zapier and Power Automate cloud flows move data between applications that offer APIs: a new form submission creates a CRM record, sends a confirmation and notifies a team. This is usually the most reliable and least expensive option when the systems involved can talk to each other directly.
RPA handles screens that have no API
Robotic process automation, using tools such as UiPath or Power Automate desktop flows, operates a user interface the way a person would. It is useful for older systems, government portals and desktop applications without integration options. It needs careful maintenance, because a changed screen can break a bot.
AI agents handle variation and judgement
An AI agent can read an unstructured request, decide which steps apply and use tools to carry them out, such as drafting a reply or updating a record. Agents are strongest where the input varies too much for fixed rules. They need clear permissions, approval points for consequential actions and testing on real examples.
Most good solutions combine all three
A typical process might use an AI step to read and classify an incoming document, a workflow to route the result between systems and an RPA bot to enter it into a legacy application. Choose the simplest reliable tool for each step, log what happens and keep a person responsible for the exceptions.
Further reading
Prepared with AI assistance; technical references checked against the documentation linked above. These are planning considerations, not a guarantee of project results.
Discuss a related projectBack to the blog