Seven processes that are almost always worth automating
Processes worth automating with AI share three traits: they run often, the input varies in format but not in meaning, and the decision is rule-driven even when the text is not. Below are seven flows where that combination almost always holds, drawn from client work rather than a vendor brochure.
What do they have in common?
All seven share the same pattern. The pattern is what is worth recognising, not the list, because it lets you find your own processes rather than hunting for yours inside somebody else’s examples.
| Process | What varies | What is rule-driven |
|---|---|---|
| Ticket routing | Phrasing and tone | Which queue it belongs to |
| Invoices | Layout per supplier | Which fields are needed |
| Quote requests | Order and level of detail | Which facts are required |
| Product content | Breadth of the range | Which fields may be used |
| Reports | What deviates | How the figures are computed |
| Knowledge search | How the question is asked | Where the answer lives |
| Follow-up | What happened | When the reminder should go |
Routing incoming tickets
Triage is in practice a full-time job spread across five people. Reading an email, working out what it is about and placing it in the right queue is exactly what a language model is good at. Start here: it is harmless, the effect is immediate, and you get accuracy data before automating anything that replies.
Invoices and delivery notes
A hundred suppliers means a hundred templates. Classic OCR needs a known layout; a language model handles documents it has never seen. The checks afterwards must be code: sum the lines, compare against the total, look up the company number. Whatever fails goes to review, not into the ledger.
Inbound quote requests
Requests almost always contain the same facts in a different order. Extracting volume, lead time and specification into a structured record saves more time than people expect, and stops things falling through the cracks while the salesperson is on holiday.
Product content for e-commerce
Catalogues where half the range has no description are the rule rather than the exception. Copy generated from the structured fields, never from guesses, solves both the conversion problem and the search problem. A missing field should be omitted, not filled with something that sounds plausible.
Report assembly
The recurring report eats half a day because the data sits in four systems that do not talk to each other. Pulling and joining is what removes the work. The model writes the commentary; code computes the figures.
Internal knowledge search
Questions already answered in a document somebody wrote two years ago. Search that understands the question rather than matching words removes a surprising number of interruptions, especially for new starters.
The follow-up nobody has time for
Reminders, status checks, confirming something actually got done. Never enjoyable, always deprioritised, and entirely rule-driven. It will be the cheapest automation you build.
Which process rarely pays off?
Answering every customer fully automatically. It is technically possible, but the ticket types where a wrong answer is cheap to correct are few, and the rest cost more in trust than they save in time. Let the model draft and let a person send.
Common questions
How do we know which process to start with?
Pick the one that runs often, annoys somebody daily, and where a mistake costs an apology rather than a customer. Ticket routing almost always satisfies all three. Do not start with the most important process: you need to learn what maintaining a flow feels like before anything critical depends on it.
We only handle twenty invoices a month. Is it worth it?
Probably not as a project of its own. Below roughly fifty runs a month the arithmetic is hard to make work, unless each run is unusually expensive or error-prone. A small volume can still be worth including when you are building an adjacent flow anyway, because the marginal cost is then low.
Can we automate customer support entirely?
Technically yes, practically rarely wise. The ticket types where a wrong answer is cheap to correct are few. For the rest, an automatic wrong answer costs more in trust than it saves in time. Let the model draft and let a person send, and you get most of the time saving without the risk.
More in the same area
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