Most businesses approach AI backwards. They start with the technology and look for somewhere to use it. Start with the work instead. Find the task that eats hours, follows a pattern and tolerates a quick human check. That is your first project.
The test
A process is a good candidate when it scores yes on all four.
- It happens at least dozens of times a month
- The inputs are text, documents, emails or forms
- A trained person could explain the rules in ten minutes
- A mistake is easy to catch and cheap to fix
Five worth automating first
1. Document data entry. Invoices, receipts, forms and statements typed into accounting or ERP systems. AI reads them, extracts the fields and matches them to existing records. A person reviews exceptions only. This is the clearest return in most companies.
2. Lead follow-up. A new enquiry gets a personal reply in minutes, a qualifying question and a meeting link. Follow-ups go out on schedule until the lead answers or opts out. Speed of response is one of the strongest predictors of winning a lead, and humans are slow at it.
3. Customer support on repeat questions. Order status, opening hours, return policy, how to reset a password. A chatbot grounded in your own documents answers these and hands anything unusual to a person with the conversation attached.
4. Internal knowledge search. Staff ask where the policy is, what the process is, which template to use. An assistant trained on your HR policies, manuals and past proposals answers in seconds. We have built these for internal teams, including HR and compliance.
5. Reporting and summaries. Weekly sales reports, meeting notes, call summaries, status updates. AI pulls the data, writes the first draft and sends it. A manager edits for five minutes and no longer writes for an hour.
Three to leave alone for now
1. Decisions with legal or financial weight. Approving a loan, rejecting an insurance claim, firing a supplier. AI can prepare the file. A person must decide and be accountable.
2. Processes nobody can describe. If three employees handle the same task three different ways, automation will copy the confusion. Fix the process first.
3. Low-volume, high-variety work. A task done five times a month, different each time, will cost more to automate than it saves. Leave it with people.
What a first project looks like
Pick one process. Run it for a month with a human checking every output. Measure hours saved and error rate. If both numbers hold, remove the check on the easy cases and keep it on the hard ones.
A single workflow typically costs USD 3,000 to 15,000 to set up and USD 500 to 2,500 a month to run. Timelines are short, usually two to eight weeks.
Governance for larger organisations
Before AI touches company data, settle four things. Which data the model may see. Which provider processes it and whether they retain it. Who reviews outputs and how errors are logged. Who can switch the automation off. IT and compliance teams approve projects faster when these answers arrive with the proposal.
Three mistakes to avoid
- Automating everything at once. One working automation teaches you more than five half-built ones.
- No owner. Someone on your team must own the automation, watch its output and report when it drifts.
- Ignoring running costs. AI models charge per use. Ask for the monthly cost at your real volume before you approve the build.
Frequently asked questions
What is AI business process automation?
It is the use of AI models to carry out repeatable business tasks, such as reading documents, replying to enquiries and drafting reports, with people reviewing the exceptions.
Which business process should be automated first?
The one that is high in volume, follows clear rules, uses text or documents as input and is cheap to correct when wrong. Document data entry is the usual starting point.
How much does AI automation cost?
A single workflow typically costs USD 3,000 to 15,000 to set up and USD 500 to 2,500 a month to run, depending on volume and integrations.