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July 27, 2026 · Lubomír Nedbal

Automating Business Processes with AI

AI automation doesn't mean replacing people with robots. In practice it means something far more down-to-earth: taking the work your people do manually over and over — retyping, sorting, answering the same questions — and having it processed automatically, with a human reviewing and deciding. That's where AI pays back the fastest today.

What AI can realistically handle today

How to spot where automation makes sense

A good automation candidate has three traits: it repeats often, it follows clear rules, and it consumes time of people who should be doing something more valuable. A bad candidate is a process done once a quarter, or a decision requiring human judgement and accountability. I don't recommend deploying AI there — and it's fair to say so upfront.

A good start: a pilot, not a revolution

What it costs

A pilot automating one process usually lands in the tens of thousands of CZK; more complex integrations with company systems in the higher tens to hundreds of thousands. Payback tends to be fast: a process that takes someone two hours a day costs the company over CZK 200,000 a year at an average salary. Add the running costs of AI services — typically hundreds to low thousands of CZK per month.

What about data security?

A fair question. Company data can be processed in modes where it is not used to train third-party models (enterprise APIs from OpenAI or Anthropic, EU hosting where needed). Sensitive fields can be anonymised before sending, and access logged. The specific setup is part of every project's design — not an afterthought.