AI automation for Czech companies: a guide from first audit to results

Every month a few companies contact us saying they want AI. Not because they know exactly what they want, but because they have been reading about it, a competitor is doing it, or someone recommended it at a conference. About half of them realise after the first call that they do not need AI. They need to fix a process that broke three years ago and has been worked around manually ever since. This article is for the other half: companies with a problem that automation genuinely solves.

What AI automation in a company actually means

It is not one product or one technology. It is a set of tools and approaches that together take over work that people currently do repeatedly, to the same pattern, without much added value. Processing incoming enquiries. Sorting emails. Creating contacts in the CRM after every form submission. Extracting data from invoices into a spreadsheet. Sending reminders. Preparing briefing materials before a meeting. Each of these takes a few minutes individually. Together, counted across the whole team and the whole year, you are looking at hundreds of hours and significant costs.

AI adds a layer that classical automation cannot handle: the ability to work with text, context and unstructured data. Automation from 2018 could move a file if it was named exactly right. Today's AI tools read an email, understand what it is about, categorise it and either respond or forward it to the right person with context.

Where it works and where it does not

It works where a situation repeats often enough to be worth teaching. Customer support with similar queries, enquiries arriving through the same channel, invoices from the same suppliers, onboarding new employees to the same script. The more a situation repeats and the less it requires genuine human judgement, the better automation works.

It does not work where every situation requires experience, a relationship or creativity. Sales negotiations, strategic decisions, working with a client who has an unusual problem. Companies that expect AI to replace an experienced sales rep or product manager are disappointed. Those that use it to handle routine tasks and free their people for higher-value work see results.

What the first year with automation looks like in practice

We work mainly with manufacturing and distribution companies from the Ústecký region and across the Czech Republic. A typical project does not start with technology. It starts by sitting down with the client and going through where their time is leaking. Usually it comes down to three or four processes where improvement is obvious. We pick one as a pilot.

A pilot project is typically live within six weeks of the first call. After three months we know whether it is working as intended, and only then do we talk about expanding further. Companies that wanted to automate everything at once did it with us once and not again. A large project with an unclear outcome helps nobody.

What it costs and when it pays back

Our pilot project covering a chatbot or basic enquiry automation starts at 80,000 CZK. A company currently paying a full-time customer support person reaches payback within four months. A founder who personally answers routine customer queries measures it in time that can suddenly go to sales or product work instead.

Larger projects, such as a custom CRM or complex automation across multiple departments, involve different numbers. But even there, the annual cost of manual work that could be automated is usually higher than a one-off investment in a solution. We calculate this for clients before they sign anything, not after.

How to tell a good supplier from a bad one

A bad supplier arrives with a presentation full of transformation slides, explains how GPT-4 works and proposes a pilot starting in six months. A good supplier asks about a specific problem, tells you within 30 minutes whether they can solve it, and if not, tells you that too.

Red flags to watch for: a supplier who talks only about technology and not about results. A contract that does not clearly state what you will receive and by when. Projects that begin with a three-month Discovery phase costing six figures. And anyone who promises AI will save 90% of your workload from day one.

A good test: ask for a reference from an industry similar to yours. If the supplier does not have one or will not share it, that is information.

Frequently asked questions we get

Do we need an internal IT team?

No. Most of the clients we work with have no dedicated IT department. We handle deployment, management and ongoing adjustments. We need the client to explain how things work, not to implement them technically.

What happens when a process changes?

The automation gets updated. Every project includes an agreement on how changes are handled and who implements them. Clients on our operational support contact us when something changes and we fix it. This is not a project you deploy and forget.

Our company is too small. Does this make sense for us?

It depends on what you do. A three-person company processing 200 orders a month makes sense to automate. A thirty-person company where every customer requires individual attention may not have an obvious starting point. We will tell you on the first call, which is free.

Will you use our company data to train AI?

No. Client data stays in their environment or in an environment the client controls. We do not train models on it and we do not share it with third parties. This is in the project contract in black and white.

Where to start: three steps we recommend to every company

The first step is to write down three processes your people do repeatedly and hate. Not the important or visible ones. The ones that are tedious, mechanical and take up time that could be better spent. That list usually produces a good pilot candidate.

The second step is to call or write to two or three suppliers and tell them exactly what you wrote on that list. How they respond tells you a lot. A good supplier asks follow-up questions. A bad one immediately proposes a solution.

The third step is to calculate what that process is currently costing you per year. Hours multiplied by the average hourly wage or cost per employee. You then compare that number against the supplier's proposal. If the investment does not return within two years, the project makes no economic sense regardless of how good the demo looks.

Want to know where automation makes sense in your company and where it does not? Book a free call. We will go through your processes, give you an honest view of what makes sense and what does not, and if we agree, put together a specific proposal.