Three things AI can do for a business
This is what people mean when they say "AI."
Not chatbots. Three ordinary jobs that used to need a person reading, deciding and typing, done by software in seconds. The last one you can try yourself.
New to all this? Start with what AI actually is. It takes three minutes and the rest of this page will make more sense.
1 Handle a problem end to end
A delivery goes wrong. Something has to decide what happens next.
Failed delivery, damaged box, wrong address. Someone reads the driver's notes, checks the customer's history, looks up the rules, picks an action and writes to the customer. This does all of it, and escalates to a human when the rules say it must. Pick a shipment and watch it work.
The rules about when a human must get involved are ordinary code, not the AI's judgement, so escalation is guaranteed rather than hoped for. That is usually the thing standing between "interesting" and "allowed to touch customers."
2 Search your own documents
Ask a question in plain English. Get an answer out of your own files.
This one was built for stockbrokers, who start every morning behind on the news. It reads 500 news articles, a company's regulatory filings and months of price history, and answers questions from them, showing exactly where each answer came from. Swap the material and the idea is the same for contracts, manuals or policies.
The answer comes from your material, not from the internet, and every claim points at the document it came from. That is the difference between a chatbot that guesses and a system you can put in front of a client.
3 Clear a support queue
A support team opens 400 tickets a day. Most of the work is deciding what each one is.
A customer support desk is buried in returns, delivery questions, payment problems and complaints. Before anyone can help, a person has to read each message, work out what it is actually about, decide how urgent it is, and find the right policy. That triage is most of the job, and it is the same set of decisions every time.
This does the triage. Every ticket arrives already summarised, already prioritised, with a policy-grounded reply drafted for a human to approve or change and marked by a second system before anyone sees it. The team stops sorting and starts answering. This one is live, so type anything you like.
Marked across 30 real complaints
The value is not that a machine can write. It is that the same judgement calls stop being made by hand four hundred times a day. Fewer inconsistencies between agents, less time per ticket, and the decisions that actually need a person still reach one.
Before you buy anything
Two questions to ask anyone selling you AI.
Both of them are answered by what you just watched, which is the only reason those demos are on this page.
"How do you know it's right?"
Every answer in the third example was marked by a second, separate system against written criteria: did it get the facts right, did it invent anything, did it follow policy. Across 30 real complaints the marks ran from 98% down to 69%.
The 69% was for telling people clearly what happens next. You are seeing the weak number because it is the one that decides whether a system is ready. Anyone who only shows you the good ones is selling, not measuring.
"What happens when it's wrong?"
In the first example, the rules about when a human must step in are ordinary code, not the AI's judgement. A third failed delivery, a damaged perishable, a long-standing customer with a history of problems: each one forces a person to look, whether or not the AI thinks it is necessary.
That distinction is usually what stands between "interesting" and "allowed anywhere near a customer". Ask where the hard stops are. If there aren't any, that is the answer.
Wondering whether any of this fits what you do?
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