7 AI Agent Examples for Real Business Work
An AI agent is software that works toward a goal by choosing its own steps and using tools. In practice, that can mean resolving a support ticket, preparing a sales briefing or processing an invoice.
These seven examples describe common patterns, not results from specific companies. For each one, notice what it does, which tools it needs and where a person stays in control.
1. Customer support agent
What it does: Reads a request, looks up the customer and order, applies your policy and either resolves the issue or passes it on with a summary.
Tools: Helpdesk, order system, knowledge base.
Human control: Approves refunds above a limit and handles complaints.
2. Phone answering agent
What it does: Answers calls, responds to common questions and books appointments, including outside business hours.
Tools: Phone system, calendar, customer records.
Human control: Takes over when the caller asks for a person or the matter is urgent.
3. Sales research agent
What it does: Researches new leads, checks them against your ideal customer profile, adds notes to the CRM and drafts a first email.
Tools: Web search, CRM, email.
Human control: A salesperson reviews the outreach, at least at first. Unchecked mass email can damage your reputation quickly.
4. Invoice processing agent
What it does: Reads invoices in any format, pulls out the details, matches them to purchase orders and flags any differences.
Tools: Email, document reader, accounting system.
Human control: Approves payments. Fixed rules, not the model, enforce the approval limits.
5. Coding agent
What it does: Takes a task, reads the codebase, makes changes, runs tests and proposes the result for review.
Tools: Code repository, terminal, test suite.
Human control: An engineer reviews everything before it ships. It runs in a sandbox with no access to production.
6. Recruiting support agent
What it does: Schedules interviews, answers candidates' questions and summarizes applications against the role's stated requirements.
Tools: Applicant tracking system, calendar, email.
Human control: People make every hiring decision. Check local employment rules, because some places regulate AI in hiring.
7. IT helpdesk agent
What it does: Handles routine requests such as password resets and software access, following your policies, and diagnoses common problems.
Tools: Ticketing system, identity management, knowledge base.
Human control: Sensitive access requests go to a person, and the agent can't grant itself extra permissions.
What these examples have in common
Every good candidate has the same four features:
- A clear job. It's easy to say what "done" means.
- Messy input. Fixed rules alone wouldn't cover the variety.
- Available tools. The systems it needs have APIs or other reliable connections.
- Limited damage. Mistakes can be caught, or the risky actions are gated.
What isn't an AI agent
Some things are often mislabeled:
- A chatbot that only answers questions is a chatbot, not an agent.
- A workflow with fixed steps and one AI step is automation.
- A writing assistant that drafts when asked is generative AI.
These can all be great choices. Often they're the better choice, since they're simpler and cheaper. An agent makes sense only when the steps truly can't be set in advance.
How to find your first example
Ask your team one question: "What do you do every week that involves reading something, checking a couple of systems and then making a routine decision?" The answers will probably give you your first candidates.
Talk to us
Have an example in mind from your own business? DPR Software Labs can help you figure out whether an agent is the right fit and what it would take to build one.