Training course · Make · Executive & Office Assistants

Make for Assistants and Office Managers

Automation with Make (formerly Integromat) and AI modules: build scenarios, routers and AI steps while keeping data protection in check.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Make with the everyday processes of Executive & Office Assistants. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Make, formerly known as Integromat, is a visual automation platform that lets you connect applications and automate recurring processes without writing code. Over two days you will learn to build scenarios systematically, from triggers and modules through routers and filters to iterators, aggregators and data stores. You will understand how data flows through a scenario, how to reshape it with functions and how to keep an eye on operations consumption.

The second focus is AI. You connect language models through Make’s AI modules and provider integrations to classify text, extract information from emails and documents, draft replies or enrich content. You learn to catch errors with error handlers, test scenarios and document them clearly. Finally, you address data protection topics such as hosting region, data processing agreements and data minimisation, so that your automations can be run safely within your organisation.

Assistants and office teams are the organisational hub of any business: they coordinate diaries and travel, prepare meetings, pull information together, handle correspondence and keep operations running smoothly. Generative AI is a particularly effective tool for this role. It drafts emails and letters in the right tone, summarises long email threads and documents, produces minutes, translates correspondence and structures presentations. AI agents and automations take over recurring workflows such as scheduling, filing or preparing expense claims. This frees up capacity for more demanding work in project coordination, communication and organisational development – making the assistant role more strategic.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Executive and team assistants
  • Office managers
  • Secretariats in companies, law firms and public bodies
  • Reception and facilities office staff
  • Project assistants

Typical challenges we address

  • Overflowing inboxes and many parallel requests
  • Heavy coordination effort for meetings, travel and events
  • Repetitive writing and formatting work
  • Information scattered across emails, documents and tools

What you will be able to do

  • You can build Make scenarios independently using triggers, routers, filters and data transformations.
  • You can process lists and records with iterators, aggregators and data stores.
  • You can integrate AI modules for classification, extraction and text generation into your processes.
  • You can safeguard scenarios with error handlers, validation and human approval.
  • Handle correspondence, summaries and minutes much faster with AI.
  • Organise meetings, travel and events using AI-supported templates and checklists.
  • Automate recurring office workflows with simple AI and no-code tools.

Course outline

Day 1

Module 1 Fundamentals: scenarios, modules and data flow
  • Interface layout, scenario editor and execution history
  • Triggers, actions and searches: module types and their role in a scenario
  • Understanding bundles, mapping and data types and using them deliberately
  • Choosing between schedules, webhooks and instant triggers
Module 2 Logic: routers, filters, iterators and aggregators
  • Using routers and filters for branching and conditional flows
  • Splitting lists with iterators and combining them with aggregators
  • Applying text, date and maths functions to transform data
  • Using data stores and variables for interim values and duplicate checks
Module 3 AI building blocks in Make
  • Connecting language models via AI modules and provider integrations
  • Automating classification, structured data extraction and text generation
  • Building prompts from scenario variables and processing output as JSON
  • Combining AI agents in Make with tools and scenarios as actions
Module 4 Integrations, error handling and testing
  • Connecting common business applications and any API via the HTTP module
  • Applying error handlers such as Resume, Ignore, Break and Rollback
  • Validating AI output and routing unusable results to a person
  • Testing scenarios, optimising operations and documenting them for the team

Day 2

Module 5 Data protection, governance and operations
  • Assessing hosting region, data processing agreements and data flows to AI providers
  • Applying data minimisation and pseudonymisation within scenarios
  • Managing connections, teams and permissions across the organisation
  • Defining approval steps, monitoring and ownership for live operation
Module 6 Practice lab: Executive & Office Assistants
  • Emails and correspondence
  • Summarising email threads
  • Meeting preparation and follow-up
  • Travel and event planning
  • Presentations and documents
  • Automating routines
Module 7 Data protection, quality & transfer to daily work
  • Assistants often handle confidential correspondence, HR and board matters, which may only be processed in approved AI environments. In professions bound by confidentiality, such as law firms or medical practices, additional secrecy obligations apply, and third-party contact data is subject to the GDPR.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Emails and correspondence

AI drafts replies, declines, invitations and reminders in the right tone, cuts long texts down to essentials and translates business correspondence – you review and send.

Summarising email threads

Long threads and documents are condensed into decisions, open questions and next steps so you can brief your manager in a few minutes. Pending actions are clearly flagged.

Meeting preparation and follow-up

Agendas, briefing packs and attendee information are prepared; after the meeting, notes become structured minutes with an action list. Owners and deadlines are assigned so follow-up works without extra coordination.

Travel and event planning

AI helps structure travel requirements, build event schedules and checklists and present information for attendees in a clear format. Comparison overviews of hotels and connections can also be produced quickly.

Presentations and documents

Bullet points become outlines and slide text, tables are cleaned and formatted and templates for recurring documents are standardised. The result is professional, consistently designed documents in far less time.

Automating routines

Recurring tasks such as filing attachments, collecting responses or chasing deadlines are linked up using no-code automation and AI agents. This saves valuable time every single day.

Prerequisites

You should be comfortable with common office and cloud applications and have some experience with AI assistants. No programming skills are required. Experience as an assistant, secretary or office manager and confident use of standard office software.

Technical requirements

You will need a laptop with an up-to-date browser and a Make account; the free plan covers most exercises. API access for a language model is set up together during the course.

Data protection & compliance

Assistants often handle confidential correspondence, HR and board matters, which may only be processed in approved AI environments. In professions bound by confidentiality, such as law firms or medical practices, additional secrecy obligations apply, and third-party contact data is subject to the GDPR.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Tue, 1 December 2026 – Wed, 2 December 2026 Augsburg Request
  • Tue, 15 December 2026 – Wed, 16 December 2026 Online Request
  • Thu, 21 January 2027 – Fri, 22 January 2027 Online Request
  • Tue, 2 February 2027 – Wed, 3 February 2027 Bremen Request
  • Mon, 8 February 2027 – Tue, 9 February 2027 Online Request

Frequently asked questions

Is Make the same as Integromat?

Yes. Integromat was renamed Make and substantially developed along the way. The core principle of visual scenarios made of connected modules remains, while a redesigned interface, many new integrations and AI building blocks have been added. If you used Integromat in the past, you will quickly feel at home and discover the new capabilities on the course.

How do I keep operation costs under control?

Every module that runs consumes operations or credits, and AI calls also use quota with the respective model provider. On the course you learn to design scenarios so that filters apply early, unnecessary runs are avoided and data is processed in batches. This keeps your automations economical and predictable as volumes grow.

Can Make be used in a GDPR-compliant way?

In principle yes, provided you set up the framework deliberately. This includes choosing the hosting region, signing a data processing agreement, reviewing connected AI services and applying data minimisation. On the course you work through these points with a checklist and learn to filter or pseudonymise sensitive data within scenarios.

Do I need any technical background?

No. If you are confident with email, word processing and spreadsheets, you have everything you need. The course works with real tasks from an assistant's day and shows step by step how to use AI assistants and simple automations. Templates from the course can be reused straight away.

How do I handle confidential content?

Confidential board, HR or client information belongs only in tools approved by your organisation. In the course you learn to anonymise content, work with placeholders and recognise when it is better not to use AI at all. You also draft simple rules to agree with your manager.

How much does “Make for Assistants and Office Managers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

More courses for Assistants and Office Managers

More Make courses

All 45 Make courses

Make · MunichMake · SalzburgMake · BerlinMake · AugsburgMake · HanoverMake · BremenMake · StuttgartMake · KaiserslauternMake · Online