We write about what actually works inside companies: how to prepare your data for an AI agent, where automation pays off, how to choose between off-the-shelf and custom software, and what to watch for in security.
A chatbot answers; an AI agent acts – it reads emails, searches your CRM, fills in orders and sends messages. If you are piloting one or about to go live, you need to know what it can break, how to fence it in, and what GDPR and the AI Act require you to have on paper. Below are four layers, each with its typical threat and its legal duty.
Companies with 10 to 200 employees sooner or later run into the limits of spreadsheets or a cheap subscription. Then comes a decision that will shape how people work for years: buy a ready-made system, or have one built. This article gives you a framework for comparing the two options honestly – including the costs that never make it into the quotes.
Most small businesses have a server that “has run for years without a problem”. That is exactly why it deserves attention: software that never changes does not get safer, while attackers change every day. Below: the data, three well-known incidents with one shared pattern, and how to update without downtime.
If several hundred invoices reach you every month by email, as PDFs and as scans, somebody is retyping them. AI can now take over most of that work – but not all of it, and not without rules. Success is not decided by a promise of “100% automation” but by a single metric: how many documents get through without a person touching them.
You have decided to trial an AI agent and are looking for a supplier. Yet the work that matters most for the pilot is yours, not the supplier’s – and most of it takes two to three weeks and little money. This guide shows what to prepare and what to keep in your own hands.
You hear the word “agent” from suppliers more and more often, usually with a higher price tag than a chatbot. So is an AI agent just a pricier chatbot, or does it solve a different problem? The answer depends less on the language model behind it than on what happens after the answer.
AI agentschatbotsprocess automation
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