Michi01How to read these examples
Every example below follows the same pattern. The agent reads something, does something in one of your systems, and a person stays responsible for the part that needs judgement. If you cannot fill in all three for an idea, it is not ready to be an agent yet.
None of these need a new model or a research team. They need access to the right systems, clear rules, and someone who owns the result.
02Sales
1. The lead responder
Reads a new enquiry from a form, portal or WhatsApp. Does a reply within seconds with the right brochure, asks one qualifying question, and books a call or visit. Person takes over when the lead asks about price or terms. On a real estate CRM we built, this kind of automation took first follow-up from 30–60 minutes to about five.
2. The meeting prep agent
Reads the calendar, the CRM record and the company's website. Does a one-page brief before each sales call: who they are, what they asked before, what to propose. Person decides what to actually say.
3. The follow-up agent
Reads the pipeline every morning. Does a polite nudge to quiet leads at a sensible hour, then stops after one or two attempts. Person gets a list of leads that replied with real intent.
03Customer support
4. The triage agent
Reads every incoming ticket, email or chat. Does tag the topic and urgency, attach the customer's history and route it to the right queue. Person starts every conversation with context instead of a blank page.
5. The knowledge answer agent
Reads your help articles, policies and past answers. Does answer routine questions from those sources only, with a link to where the answer came from. Person handles anything the sources don't cover. We explain how this works in our guide to AI chatbot development.
6. The return pre-check agent
Reads a return or refund request and the order. Does check it against the policy and prepare a recommendation. Person approves or rejects with one click. The money never moves without a human decision.
04Operations
7. The document intake agent
Reads invoices, application forms, ID documents or purchase orders arriving by email. Does extract the fields and fill them into your system, flagging anything it is unsure about. Person reviews only the flagged items.
8. The scheduling agent
Reads requests for appointments, site visits or deliveries. Does offer free slots, confirm, remind the day before and reschedule on request. Person handles exceptions.
9. The stock and status watcher
Reads inventory levels, order statuses or delivery tracking. Does raise an alert or a draft purchase order when something crosses a line. Person confirms the order.
05Finance
10. The invoice matching agent
Reads supplier invoices, purchase orders and goods receipts. Does match them and highlight mismatches in quantity or price. Person resolves the mismatches.
11. The payment reminder agent
Reads outstanding receivables. Does send polite, correctly timed reminders with a payment link, and logs every reply. Person calls the accounts that need a conversation.
12. The expense checker
Reads expense claims and receipts. Does check them against policy and flag duplicates or missing receipts. Person approves.
06Product and engineering
13. The release notes agent
Reads merged changes and tickets. Does draft customer-facing release notes in plain language. Person edits and publishes.
14. The test failure triage agent
Reads failing tests and recent changes. Does group failures, suggest the likely cause and the owner. Person fixes the code.
15. The analytics question agent
Reads a question in plain English, such as “how many site visits did we book last week by project?”. Does query the database read-only and returns the answer with the query it used. Person checks the numbers before they go in a board deck.
07What the good ones have in common
- A narrow job. “Reply to new leads” beats “handle sales”.
- Real tools. Each agent reads and writes in systems you already use, through proper integrations.
- A clear hand-off. Everyone knows where the agent's job ends.
- A log of every action. So any decision can be checked and explained.
- One number. Response time, hours saved, errors caught. If it doesn't move, the agent isn't working.
If you want help choosing your first, start with how to pick an AI agent for your business.
08Questions people ask
What are some examples of AI agents in business?
Lead responders that reply to enquiries in seconds, support triage agents that route tickets with context, document intake agents that fill forms from invoices, scheduling agents that confirm and remind, and invoice matching agents that flag mismatches for finance teams.
Which AI agent should a business start with?
The one with high volume, clear rules, systems software can reach, and low risk if it gets one wrong. For most sales-led businesses that is the first reply to new leads; for operations teams it is usually document data entry.
Do AI agents replace employees?
In practice they take over repetitive steps so people spend their time on work that needs judgement, relationships and decisions. Every agent in this list keeps a person responsible for the final call.
How do you measure whether an AI agent is working?
Pick one number you already track before launch, such as first response time, hours spent on data entry or errors caught, and compare it for a few weeks after. Also review the agent's action log and a sample of its decisions every week.
Are AI agents safe to use with financial data?
They can be, with least-privilege access, read-only access where possible, approval steps for anything that moves money, and a full log of every action.