An AI agent is software that uses an AI model to interpret a goal, choose actions, and work with information or tools. Unlike a basic chatbot that only responds to a prompt, an agent can follow a multi-step workflow such as researching an account, drafting an outreach plan, checking requirements, and preparing a result for human approval.
Agents are best for bounded workflows
The strongest business use cases have a clear objective, known inputs, a limited set of allowed actions, and an output a person can evaluate. Examples include preparing sales research, organizing support requests, summarizing internal knowledge, checking documents, or building a first-pass content plan.
When not to use an agent
Do not begin with an autonomous agent when the process is poorly understood, the consequences of error are high, or the system would need broad access to sensitive data. A checklist, conventional automation, or human-led AI assistant may be safer and cheaper.
Five questions before implementation
- What exact result should the agent produce?
- Which data and tools does it genuinely need?
- What decisions must remain with a person?
- How will quality and failures be measured?
- What happens when the agent is uncertain?
Start with a controlled pilot
Use representative examples, define expected outputs, and test edge cases. Keep access narrow and log important actions. Measure time saved, correction rate, completion rate, and business impact—not simply how impressive the demonstration looks.
Explore focused examples in the My AI Associates agent directory, or begin with the AI Business Assessment to identify a sensible first workflow.
Next step: start a 7-day free trial and evaluate one bounded business process.