Many AI agents should be cheaper automations instead
and AI agents are not the same thing. An follows fixed steps, while an AI agent uses a to choose what to do next. Mixing up those two ideas can waste money.
A three-week agent project could have been handled by a workflow costing about $200 per month. If a team cannot write down the work steps clearly, the workflow needs to be fixed before it is automated. Agents can also fail badly when a task needs judgment.
A customer-support agent answered most questions correctly, but one wrong answer said an order was delayed when it was not, which led to a refund and the agent being shut down after six weeks. Lead follow-up is presented as a better current use case because many teams wait hours before responding, and a workflow in n8n can act faster.
Key points
- follow fixed steps; AI agents let a choose the next step.
- A three-week agent build may be unnecessary when a $200-per-month workflow can do the job.
- If the team cannot clearly write down the process, fix the workflow before it.
- Customer-support agents can create costly problems when a wrong answer reaches a customer.
- Lead follow-up is a stronger use case because fast responses can be handled with simpler .