Business process automation examples: 10 jobs, department by department, before and after 

Business process automation examples are easy to find and hard to picture in your own business. So here are ten real ones, grouped by department. Each shows how the work runs today, how it runs once automated, and what AI adds that plain rules could not do.

A quick definition first. IBM describes business process automation as a strategy that uses software to automate complex and repetitive business processes. Our own short version: software runs the repeatable work from start to finish, and people handle the exceptions. If you want the longer explanation, our guide 'What is business process automation, and what has AI added to it?' covers it.

Business process automation examples in finance

1. Supplier invoices, from inbox to approved bill

Before: invoices arrive as PDFs, photos and the odd paper copy. Someone opens each one, types the supplier, amount and tax into the accounting software, and then emails a manager to approve it. Half the approvals sit in an inbox for a week.

After: invoices go to one address. The system reads each one, creates a draft bill, matches it to the purchase order and sends it to the right approver. Anything that does not match goes to a person with the reason attached.

What AI adds: reading invoices in any layout. Rules alone need every supplier to send the same format, which never happens. Our article on document and data extraction explains how accurate this is and where it still needs a check.

2. Payment reminders that go out on time

Before: the owner looks at the aged receivables report when cash feels tight, then sends awkward emails one by one.

After: reminders go out on a schedule you set, polite at first and firmer later. Paid invoices drop off the list on their own. Disputed ones go to a person.

What AI adds: reading the customer's reply. 'Paid yesterday', 'the invoice has the wrong PO' and 'can we split it?' each need a different next step, and AI can sort them before anyone opens the inbox.

3. Month-end reconciliation

Before: bank lines, marketplace payouts and card fees are matched by hand in a spreadsheet. The books close two or three weeks after month end.

After: most lines match automatically. The accountant reviews a short list of exceptions instead of the whole statement. We cover the full routine in 'The month-end close: a checklist that gets the books done in days, not weeks'.

What AI adds: suggesting matches when references are messy, such as a payout that bundles fifty orders minus returns and fees.

Business process automation examples in sales

4. Enquiry follow-up

Before: enquiries arrive by web form, email, phone and WhatsApp. Some get a reply in an hour, some in three days, and some never. Nobody can say how many were lost.

After: every enquiry lands in one list, gets an immediate acknowledgement and is assigned to a person. If nobody replies within your set time, the system reminds them, then their manager.

What AI adds: understanding what the enquiry is about, asking the first qualifying questions and drafting a reply for your team to approve.

5. Quote follow-up

Before: quotes go out and then silence. Following up depends on someone remembering, and nobody does in a busy week.

After: each quote starts a short follow-up sequence. When the customer accepts, the job is created and the deposit invoice goes out. Our piece on quote follow-up for trade businesses walks through a full example.

What AI adds: reading the customer's reply and spotting the real objection, whether it is price, timing or a question about scope.

Business process automation examples in operations

6. Proof of delivery to invoice

Before: drivers bring back signed delivery notes days later. The office types them up, and invoices go out a week or two after the goods arrived.

After: the driver photographs the signed note at the door. The system reads it, checks it against the order and raises the invoice the same day.

What AI adds: reading a crumpled, handwritten or partly signed note, and flagging short deliveries for a person to check.

7. Collecting documents from clients

Before: a professional firm emails each client a list of documents, then chases by phone for weeks. Staff spend hours checking what came in and what is missing.

After: each client gets a personal checklist and a link to upload. Reminders go out on their own. Staff see one view of who is complete and who is not.

What AI adds: checking that an upload is the right document for the right period, so 'bank statement, March' is not actually February.

Business process automation examples in HR

8. Employee onboarding

Before: a new joiner's first week depends on who remembered what. The laptop is late, the email account is missing and the contract is still unsigned.

After: one form starts everything. Contract out for signature, accounts created, equipment ordered, first-week plan sent to the manager and payroll details collected.

What AI adds: answering the new joiner's questions from your own policies, any hour, so the manager is not the help desk. Our article on an internal assistant that answers from your own procedures explains how that works.

9. Leave and expense approvals

Before: requests come by email and chat, approvals get lost and someone re-types everything into payroll at month end.

After: one request form, routed to the right approver, with approved items flowing into payroll and the accounts.

What AI adds: reading receipts and flagging claims that break your policy, such as a dinner over the limit or a duplicate receipt.

Business process automation examples in customer service

10. Answering customer calls and messages

Before: the phone rings while everyone is busy. Customers wait, hang up or ring a competitor. The same five questions take up most of the day.

After: an AI front desk answers calls and messages, handles the common questions from your own information, books appointments and passes the rest to a person with the full context.

What AI adds: this one is AI from end to end, because it needs to listen and reply in plain language. We built AI customer support for an eCommerce company. When it cannot help, it transfers the call to a person with everything already captured. It cut the calls that needed a person by 89%.

The ten examples side by side

How to pick your first one

1. List the jobs your team repeats every week, and who does them.
2. Mark the ones where a delay or mistake costs real money or customers.
3. Write down how the work runs today, step by step. You will find steps nobody needs.
4. Fix or remove those steps first. Automating a messy process only makes the mess faster.
5. Check that your current software lets other systems read and write its data.
6. Automate one process, measure it for a month, then pick the next.

Not sure whether a job is worth automating at all? Our checklist 'Should you automate it?' gives you the questions to ask before you spend anything.

Tell us what is giving you headaches. If we are not the right people, we will try our best to find who is, and connect you to them.