What is an AI agent?
An AI agent is a system that uses a model plus tools to complete tasks over multiple steps. It can read instructions, choose actions, call APIs, search knowledge, write outputs, ask for approval, and continue a workflow.
Core components
- Model: reasoning, language, classification, or planning.
- Tools: APIs, databases, browsers, calculators, CRMs, email, code execution.
- Memory: stored context, previous actions, user preferences, project state.
- Planner: breaks tasks into steps and selects tools.
- Guardrails: permissions, validation, refusals, human approval, logging.
Useful agent use cases
| Area | Agent task | Human role |
|---|---|---|
| Sales | Research leads and draft outreach. | Approve messages and strategy. |
| Support | Answer from knowledge base and open tickets. | Handle edge cases and escalations. |
| Operations | Extract data, update systems, generate reports. | Review exceptions and audits. |
| Finance admin | Classify invoices and reconcile records. | Approve payments and exceptions. |
Guardrails
Agents need strict boundaries. They should not be allowed to spend money, delete data, send external messages, or make sensitive decisions without clear permissions and review.
Practical rule: automate recommendations before automating irreversible actions.