RPA and AI: who handles the invoice, the robot, the AI or a person?

Every morning, invoices pour in. Then forms, then complaints. Who handles them: a robot, an AI… or a person? In 1804, a patent was filed for Jacquard's loom: punched cards tell the machine, row by row, which pattern to weave. In 1890, in the United States, Herman Hollerith's machines read punched cards to tabulate the census data. In 2001, the British software company Blue Prism was founded; it builds software robots that automate office tasks. The answer: all three. Each with its own job. Step one: the rule. A software robot, called RPA, opens each invoice, reads the number, the date and the amount, always in the same spot, and enters them into the accounts. Fast, tireless, no typos. But if an invoice changes layout, the robot stops: it only does what it was told. Step two: the model. AI reads the document the way you would, finds the amount even when it moves, and gives a confidence score. Above the threshold, the file goes straight through. Below it, the machine doesn't guess: it hands the file to a person. Step three: the person. The uncertain case goes to a human, who makes the call. And that decision becomes an example: next time, the model will be more confident. Rules take the certain, the model takes the probable, people take the hard cases. The KOAEE assistant splits the work the same way. At the town hall, ask for the opening hours and the answer comes instantly. At the clinic, the same goes for blood tests. But a disputed fine? The assistant won't make the call: it points you to the people who can help. To understand AI in 150 seconds, subscribe to the channel. The AI that stays between you. Try it at koaee.ai.