Everything gets called an 'agent' nowadays. You're probably confusing an AI agent with an automation workflow.
An automation is rule-based. “if this, then that.” It executes predefined, preprogrammed steps. No judgment required.
An AI agent operates with some level of trust. You give it...agency. It is necessary for agents to make decisions and act in ways you didn’t explicitly script.
The most interesting systems aren’t pure automations or pure agents. They’re 'agentic workflows'.
Agentic workflows combine the intelligence and adaptability of AI agents with the reliability of deterministic automation. They’re smart where it matters, and predictable where it counts.
As the tech matures, work will keep moving toward the “agent” end of the spectrum.
Agent example: A sales AI that reads inbound emails, interprets intent, drafts personalized replies, and decides when to escalate to a human. No predefined rules.
Automated workflow example: A HubSpot zap that automatically adds every new lead from your form into Salesforce and sends a follow-up email template.