An automation follows fixed rules: if this happens, do that. An AI agent decides its own steps towards a goal, using tools and judgement. Automations are cheaper and more predictable, so use them wherever the rules are clear. An agent earns its place when the input is messy or the steps differ every time.
How do they compare?
| Automation | AI agent | |
|---|---|---|
| Works from | Rules you define | A goal and the tools it may use |
| Good with | Structured, repeating work | Messy input and varying steps |
| Predictability | High: same input, same result | Lower: needs checks and limits |
| Typical example | New form entry goes to the CRM | Reads a mail, finds the customer, drafts a reply |
When is an automation enough?
When you could write the process out as a list without any "it depends". Moving data between systems, sending a confirmation, building a standard report: these don't need AI, and adding it only introduces cost and uncertainty.
When do you need an agent?
When the input is free text, the right next step depends on the content, or the work requires looking things up in several systems. Sorting a shared inbox is a good example: no two mails are the same, yet the possible actions are limited.
Can you combine them?
Most good systems do. Fixed rules for everything that's predictable, AI only for the step that needs judgement, and a person who approves whatever matters. That also keeps the cost and the risk down.
What does this mean for your budget?
At 5DAYS an Automation Sprint for one defined workflow starts from €2,950, and a Business Agent for complete processes from €7,950, excluding VAT. More on that in what an AI agent actually costs.
