AI workshops after which the tools actually get used
The licences are bought, the introduction was informative — and nothing changes in daily work. That is why Escalt runs workshops on your team's actual tasks, not on examples from a vendor presentation.
Why training so often fizzles out
A typical AI training shows everything a tool can do. Back at the desk, however, the question is not “what can the tool do?” but “how do I get the thing in front of me done with it?”. Between the two there is a gap, and no slide deck closes it.
Escalt's workshops therefore start with a collection of real tasks from the participants — quote texts, evaluations, recurring correspondence, research, meeting minutes. The work happens on these tasks. What exists at the end of the day is not a certificate but a handful of workflows that already function the next morning.
Structure of a workshop
- Preparation: a short conversation with the management and a collection of typical tasks from the team.
- Fundamentals, as brief as possible: what the tools do, where they are reliable and where not. No technology lecture.
- Work on real cases: the longest part. Every participant brings in their own tasks.
- Documenting reliable workflows: what worked is written down and stays in the company.
- Limits and rules: which data may go in, which may not, and how to recognize a wrong result.
The part others leave out: what can go wrong
AI tools effortlessly produce text that sounds right and is wrong. A team that cannot recognize this simply works faster in the wrong direction. A fixed part of every workshop is therefore the opposite of a product demo: deliberately provoked errors, and the question of how they should have been noticed.
This includes a sober approach to data. Customer data, personnel matters, draft contracts — whatever is entered into a public tool leaves the company. Which rules should apply in your organization is agreed on in the workshop, so nobody has to guess afterwards.
Format and scope
The usual format is one day on site with six to twelve participants — enough for everyone to work on their own tasks. For larger teams, several runs make more sense than one big event. On request, a short second session follows after a few weeks: by then the real questions have arrived, and they are usually worth more than anything asked on day one.
Funding: please do not count on it
A note that causes disappointment more often than it should: consulting and training services on their own are not eligible for the Digitalbonus Bayern. They are only funded when they belong to a solution that is actually implemented — and even then with at most 50% of the eligible total costs. If you are planning an implementation anyway, include consulting and training in the application from the start instead of ordering them separately later. And as with every Digitalbonus project: the application must be submitted before anything is ordered.
Frequently asked questions about AI workshops
Who are the workshops for?
For teams that are supposed to use AI tools in daily work — administration, sales, quoting, project management. No prior knowledge is required, no technical interest either.
How many participants make sense?
Six to twelve. Beyond that, not everyone gets to work on their own tasks any more — and that is exactly what the impact depends on.
Does the workshop take place at your site or at Escalt?
Usually on site at your company, because that is where the real tools and examples are. Online is possible but loses impact.
Which tools are covered?
The ones you are actually supposed to work with, or already work with. If that decision is still open, it belongs before the workshop — that is what AI consulting is for.
Is AI training eligible for the Digitalbonus Bayern?
Only in connection with an implemented solution. Training on its own is excluded from the funding; if it belongs to an implementation project, it counts with up to 50% of the eligible total costs.
Often combined
Training works best when it is clear beforehand what the tools are actually meant to be used for.
Autonomous agents for data analysis, inquiries and reporting
Should your people really use AI tools?
Tell us briefly what your team deals with every day — the workshop is built from that.