AI Training for Executive Assistants 2026: Program and Price (from €1,200/day net)

AI training for executive assistants, office managers, and front-office teams is a closed workshop on your own work: a meeting brief assembled from several sources, drafts of correspondence written on behalf of the board, tidying and summarising documents, research before a trip or event, and minutes with an action list. Every task carries an approval boundary: the model prepares a draft, and a person sends and decides. At Syntalith this is a day from €1,200 net, run by engineers who build AI systems in production.

Quick answer

The executive assistant is usually the only person who sees every thread at once: the chief executive's calendar, correspondence with clients and authorities, the documents before a meeting, the decisions after it. That is where AI pays back fastest and where a mistake costs most, because data that must not leave the company passes through the front office daily. So we run the workshop on your material and start with the boundaries. We price it plainly, net:

• free process scan (€0): 30 minutes with an engineer and a written takeaway in two business days, to establish what is worth moving onto AI in your office before you buy anything,
• closed AI workshop for the front office and board support (from €1,200 net per day): 1 or 2 days, online or at your office, one workshop group of up to 15 people,
• an AI working charter for the front office: written data boundaries, the approval threshold, and prompt patterns that stay with the company after the workshop.

The team offer is described on the AI training for teams page, and the single-person version on one-to-one AI training.

The tasks we work on

Not "examples from a slide deck." We take five things the front office does anyway, only more slowly and without a trail, and move each onto the model using your own material. The right-hand column matters as much as the middle one: it decides whether the company can trust how its assistant works.

One thread runs through all of it: the model drafts the first version and tidies the input, and the assistant reads, corrects, and approves. That order is the point of the whole day.

The boundaries we set first

Before anyone writes a prompt, we go through three questions. First: which environment you may work in. A company account with a settled data policy is a different thing from a private chat on a phone, and the interface does not show you the difference. Second: what may be pasted. Personal data of staff and counterparties, contract terms, and board material before publication already have rules in your company, and the workshop applies them instead of working around them. Third: what approval means. We set the threshold at which a draft becomes a sent message and write it down.

One obligation is worth knowing in the front office. Article 50 of the EU AI Act applies from 2 August 2026, so it is already in force, and it requires that a person interacting with an AI system be informed of that, unless it is obvious from the context. In practice that concerns cases where the model answers someone directly, rather than an assistant using it to prepare a draft. Article 4 of the same regulation, applicable since 2 February 2025, requires companies to take measures towards AI literacy among people who use such systems on the organisation's behalf. A workshop program and an attendance list can support your documentation on that point. This is not legal advice.

The program: six modules

The day is built so that something more than an impression is left by the evening. The order matters, because boundaries have to come before fluency.

1. How the model answers and when you must check. Where confident-sounding fabrications come from, and why a date, an amount, and a name always go back to the source.
2. Context and task. How to turn material you already have into a prompt that produces something usable: role, goal, format, constraints, one example of a good answer.
3. Brief and minutes, live. Work on one of your real meetings: input from several sources, a one-page brief, then minutes and an action list with an owner and a deadline.
4. The board's tone and the approval boundary. Building a correspondence template that sounds like your company, and keeping two variants ready for the decision-maker.
5. Data boundaries in practice. The three questions above applied to your own cases, including what to do when the request lands at 5pm on a Friday.
6. The written standard. An AI working charter for the front office: tasks, prompt patterns, boundaries, approval threshold. That document decides whether Monday looks different.

With two days, the first covers modules 1 to 3 and the second the rest, plus a run at the backlog in your inbox.

How much AI training for executive assistants costs

A closed workshop starts from €1,200 net per day. The price is per day and per workshop group of up to 15 people, so counting the front office, reception, and board support together, the cost per head lands well below an open course bought per seat. The quote depends on the number of days, the number of groups, and the format. Full rates sit on the pricing page.

Before you order, work out your own reference point. We do not have your numbers and will not guess them, so fill this in yourself:

Hours to recover per month =
  (briefs per month × minutes per brief)
+ (sets of minutes × minutes per set)
+ (correspondence drafts × minutes per draft)
+ (logistics research runs × minutes per run)
                      ÷ 60

Reference point = hours per month × your loaded office hourly cost
Compare it with the price of a workshop day spread over 12 months.

If the right-hand side comes out near zero, we will say so on the scan and will not sell you a training day.

When NOT to buy training for assistants

• The company has only one assistant. A workshop group of one is a wasted format. One-to-one training on your calendar and inbox makes more sense; we break the formats down in the piece on one-to-one training versus a group course.
• No approved tool and no data rules yet. The workshop could teach the team to work in an environment the board later refuses to allow. Decide on the tool and the boundaries first.
• The real problem is volume. If several hundred near-identical requests pass through the front office each month, a workshop will not take that off anyone. That is a job for dedicated process automation, which starts from €3,500 net. The process scan settles which road is yours.
• You want a talk about the future of office work. That is a different product and a different vendor.

How to start

1. Book a free process scan and tell us how many people support the board and the office, and where they lose the most time.
2. Prepare three things: a typical pre-meeting brief, an example of correspondence written on behalf of the board, and how minutes get written today.
3. After the call you get a recommendation: a closed workshop, one-to-one training if this is about a single person, or automation if volume is the real problem. Scope and price come in the same document.

Book a free process scan | AI training for teams | See pricing

FAQ

How much does AI training for executive assistants cost?

A closed workshop starts from €1,200 net per day. The price covers one day and one workshop group of up to 15 people, so with a front office of several people the cost per head drops sharply. Two formats are available: online or at your office. You get the final per-scope quote after one call, the free process scan: 30 minutes with an engineer and a written takeaway in two business days.

Does this make sense if the company has only one assistant?

Then one-to-one training is the better format, also from €1,200 net per day. We work only on your calendar, your inbox, and your documents, at your pace, without splitting the time with a group. A closed workshop pays off when several people across the front office, reception, and board support need to work to one standard and the same data boundaries.

Which tools does the training use?

Whichever tool the company already has or is choosing: Claude, ChatGPT, Copilot, or Gemini. The program stays the same; the screens and the data rules of the specific plan change. If the tool is not yet chosen, we name one during the process scan based on the front office's tasks and the company's data requirements, before anyone buys a year of licences.

What about confidentiality of the board's calendar and inbox?

We cover it in the first module, before anyone writes a single prompt. We establish which environment you may work in, what may be pasted, and what must never leave the company: personal data, contract terms, board material before publication. We write it down as an AI working charter for the front office. On top of that sits the approval boundary: the model prepares a draft, a person sends it.

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