AI training for your business: why we start with an audit, not a tool

Most businesses we talk to have already had some first contact with AI. Someone tried ChatGPT, someone else opened Gemini for one project. The problem is that these attempts almost always end the same way: the tool sits open in a browser tab, and the company keeps manually writing the same emails, proposals and reports it wrote six months ago.

At Endora, we see one mistake repeat itself constantly. Companies start by asking “which AI tool should we use” instead of “which of our tasks could actually be handed off to AI.” That is why before we run any workshop, we do a process audit. Without it, training is a shot in the dark.

The most common mistake: training starts with a tool, not a problem

The classic scenario looks like this: a company buys licences for a popular language model, organises a one-off talk on “how to use AI,” and expects the team to find their own applications. In practice, people return to their responsibilities and within a week return to old habits too, because nobody showed them where exactly AI makes sense in their daily work.

This is not about the team’s motivation. It is about the fact that generic training does not answer the specific question: what in this company, in this department, gets done manually and repeatedly when it does not have to.

What an audit gives you before the workshop begins

The process audit we run before every training is not a formality at the start of a project. It is the moment when we often find that the biggest potential sits somewhere completely different from where the company expected, for instance not in marketing, but in the department that prepares sales proposals or reconciles orders.

We talk to the people who actually do the work, we look at real documents and processes rather than job descriptions from HR documentation. On that basis we build a training agenda tailored to specific bottlenecks, instead of a universal outline that would work for any company and for that very reason works for none.

How to know your company is ready for this kind of audit

You do not need an AI strategy to get started. It is enough if at least one of these situations is familiar:

• Someone prepares the same type of report or summary manually every month and it takes them a full working day.
• The sales team writes every proposal practically from scratch, even though 80 per cent of the content repeats.
• Customer service answers the same questions a dozen times a day, over and over, with the same words.
• Someone on the team already tried AI on their own, but found it disappointing and the topic went quiet.

If any of these points sound familiar, it is not a sign that the company is “too small” or “not ready yet” for AI. It is exactly the opposite: this is the moment when an audit makes sense.

What changes after this kind of training

The difference between a one-off talk and a workshop built on an audit is most visible a week after it ends. The team does not fall back into old habits, because they did not learn abstract AI capabilities. They practised on their own documents, proposals and emails. They leave with ready-made prompts tailored to their tasks, have something to return to when they forget a detail, and know who to contact if something does not work straight away.

This is the point at which AI stops being a curiosity and becomes part of everyday work.

How long it takes and what determines the price

The scope of training depends on what the audit reveals, so there is no single universal answer to “how much does it cost.” We have several formats, from a two-day introduction to a full AI transformation cycle priced individually. The full breakdown of formats, number of days and indicative prices is on the AI training and audit page.

Questions we hear most often

Do you have to take the whole team off work for several days in a row? Not always. We agree on the format and length after the audit, so as not to disrupt the company’s ongoing work. Some teams prefer to spread workshops over a few weeks; others prefer to do it all in one block.

Will the training itself implement AI in our company? Training gives the team the skills and ready tools to start. If a company wants to go further and run a full implementation with our support, we have a separate format for that, described on the programme page.

What if the team already tried AI and got discouraged? This is a very common starting point. It usually means someone got access to a tool without being shown how to integrate it into their specific tasks. The audit exists precisely so that mistake does not repeat itself.

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If even one of the scenarios above sounds familiar, let us start with a conversation and a process audit. Programme details, formats and prices are on the AI training and audit page, and the full Endora offer for businesses is at endora.pl/en/services-for-business.