Training course · Make · Public Sector

Make for the Public Sector

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

“Make for the Public Sector” is designed for roles such as Caseworkers in federal, regional and local government, Managers of departments and public agencies and Digital transformation and e-government leads and shows step by step how to use Make productively, safely and transparently in Public Sector – from the fundamentals to advanced workflows.

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.

Public authorities and local councils face a double squeeze: the digitalisation of public services is accelerating while skilled staff are scarce and caseloads keep rising. Generative AI can noticeably relieve caseworkers – drafting decisions and replies to citizens, summarising submissions in public consultations, turning official language into plain language and preparing committee and council papers. AI assistants also help staff navigate legislation and administrative guidelines more quickly. At the same time, the public sector faces particularly high standards for lawfulness, transparency, data protection and IT security. Introducing AI means building approval rules, record-keeping duties and final human decision-making into the process from day one.

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?

  • Caseworkers in federal, regional and local government
  • Managers of departments and public agencies
  • Digital transformation and e-government leads
  • Staff in citizen service centres and contact centres
  • Committee and council secretariat staff

Typical challenges we address

  • Rising caseloads combined with staff shortages
  • Complex legislation and administrative rules that change frequently
  • Citizen communication that must be legally sound yet easy to understand
  • Media breaks between specialist systems, electronic files and paper records

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.
  • Use AI lawfully for drafting, citizen communication and summaries.
  • Understand the limits of AI in discretionary decisions and design review and approval steps.
  • Identify processes in your department that are suitable for AI support and automation.

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: Public Sector
  • Drafting decisions and letters
  • Answering citizen enquiries
  • Plain language and translation
  • Analysing public consultations
  • Committee papers and minutes
  • Preparing procurement documents
Module 7 Data protection, quality & transfer to daily work
  • Administrative and citizen data is subject to the GDPR, national data protection law and, where applicable, social security or tax secrecy; AI may only be used in approved, secure environments and not for automated individual decisions without a legal basis. The EU AI Act, e-government legislation, procurement law and staff council participation must also be observed.
  • 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

Drafting decisions and letters

Using standard clauses, the facts of the case and the relevant legal provision, AI drafts hearing letters, statements of reasons or requests for documents, which caseworkers review, adapt and sign off under their own responsibility.

Answering citizen enquiries

An AI assistant drafts replies to frequent enquiries by email or web form, points to the responsible office and online services and keeps a friendly, accessible tone.

Plain language and translation

Leaflets, form guidance and web content are rewritten in plain or easy-read language and translated into common languages, improving accessibility of public services. Technical terms are explained as well.

Analysing public consultations

Large numbers of submissions from citizens and statutory consultees are grouped by topic, summarised and transferred into a response table that serves as the basis for professional assessment.

Committee papers and minutes

AI helps structure decision papers, condenses expert reports into status updates and turns notes into structured minutes for committees and council meetings. Proposed resolutions are kept clearly separate from the facts.

Preparing procurement documents

Specifications, selection criteria and award matrices are pre-structured from requirement descriptions and checked for completeness; legal responsibility under procurement law remains with the contracting authority.

Prerequisites

You should be comfortable with common office and cloud applications and have some experience with AI assistants. No programming skills are required. Experience with administrative procedures and casework; no technical background required.

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

Administrative and citizen data is subject to the GDPR, national data protection law and, where applicable, social security or tax secrecy; AI may only be used in approved, secure environments and not for automated individual decisions without a legal basis. The EU AI Act, e-government legislation, procurement law and staff council participation must also be observed.

Suggested dates

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

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Tue, 8 December 2026 – Wed, 9 December 2026 Bremen Request
  • Thu, 7 January 2027 – Fri, 8 January 2027 Online Request
  • Tue, 19 January 2027 – Wed, 20 January 2027 Salzburg Request
  • Mon, 25 January 2027 – Tue, 26 January 2027 Online Request
  • Tue, 2 February 2027 – Wed, 3 February 2027 Kaiserslautern 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.

May a public authority produce decisions with AI?

AI may prepare drafts, but the decision and signature remain with the responsible officer. Fully automated administrative acts are only permitted with an explicit legal basis and no discretion involved. The course shows how to review AI drafts in a documented way to ensure lawfulness and traceability.

Which AI tools are suitable for public administration?

Suitable tools are those your organisation has cleared for data protection and security, such as AI assistants provided centrally by government IT or enterprise editions with EU data processing. The course is tool-neutral and teaches working methods that transfer to whichever tools are approved in your authority.

How much does “Make for the Public Sector” 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.

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