Training course · Generative AI · Public Sector

Generative AI for the Public Sector

Vendor-neutral, hands-on day: how language models work, where they go wrong and how to roll out AI successfully in your team.

Duration
1 day (7 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 Generative AI with the everyday processes of Public Sector. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Generative AI has reached most organisations, yet teams often lack a shared understanding of what language models can actually do and where their limits lie. In this vendor-neutral course you will learn how large language models generate text, why they hallucinate and how careful prompting, context and source checking lead to reliable results. Rather than relying on any provider's marketing claims, you will work with transparent criteria that help you compare tools and judge their fit for your own tasks.

The second focus is everyday implementation. You will identify concrete use cases in your area of work, weigh benefit, risk and effort, and draft a realistic roll-out plan for your team. This covers ground rules for handling confidential data, a practical prompt library and ways to build acceptance and make results measurable. Throughout the day you work with examples from your own field, so you leave with an actionable roadmap rather than a set of abstract ideas.

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 explain clearly how language models generate text and why hallucinations occur.
  • You can write prompts that consistently deliver useful, verifiable results.
  • You can compare AI tools against transparent criteria covering data protection, features and cost.
  • You can identify and prioritise concrete use cases for your area of work.
  • 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

Module 1 How large language models work
  • Tokens, context windows and probabilities: what happens when a model generates text
  • Training knowledge versus web search versus your own documents (RAG)
  • Text, images, audio and code: what multimodal models can do today
  • Realistically assessing typical strengths and weaknesses in office work
Module 2 Spotting hallucinations and getting reliable output
  • Why models produce plausible-sounding errors and when the risk increases
  • Prompting techniques: role, context, examples, output format and step-by-step instructions
  • Requesting sources, cross-checking facts and introducing a four-eyes principle
  • Scoping tasks so that AI assists rather than decides
Module 3 Choosing tools without vendor bias
  • Overview of chat assistants, AI built into office suites and specialist tools
  • Criteria: data processing, hosting location, admin features, integrations and pricing model
  • Enterprise licences, API access and locally hosted open-source models compared
  • Building a simple scoring matrix for your own tool selection
Module 4 Identifying use cases in your field
  • Systematically capturing recurring writing, research and analysis tasks
  • Rating benefit, risk and implementation effort for each use case
  • Distinguishing quick wins from strategic initiatives
  • Creating a prioritised use-case backlog for your team
Module 5 Rolling out generative AI in your team
  • Usage rules: which data may go into which tool and who signs off results
  • Building and maintaining a shared prompt library and templates
  • AI champions, training formats and peer exchanges to embed new habits
  • Measuring success: documenting time saved, quality and user satisfaction
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

No technical background is required. It helps to bring along typical tasks from your day-to-day work that you would like to support with AI. Experience with administrative procedures and casework; no technical background required.

Technical requirements

You will need a laptop with an up-to-date browser and internet access. A free account with a common AI assistant is sufficient; company licences are welcome.

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 Online Request
  • Tue, 8 December 2026 Salzburg Request
  • Wed, 16 December 2026 Online Request
  • Fri, 8 January 2027 Bremen Request
  • Mon, 18 January 2027 Online Request
  • Wed, 3 February 2027 Augsburg Request

Frequently asked questions

Is the course tied to a specific AI tool?

No. The training is deliberately vendor-neutral. You work with widely used chat assistants and learn principles that apply to all major language models. That way you can transfer your skills to whichever tool your organisation has approved and evaluate new offerings yourself using clear criteria instead of relying on marketing statements.

How is confidential company data handled during the course?

For the exercises you use anonymised or fictitious examples from your area of work. At the same time you learn which categories of data may be entered into which tools, what to look for regarding data processing agreements and use of inputs for training, and how to set out these rules clearly for your team.

Will we leave with something concrete to implement?

Yes. You leave with a prioritised use-case backlog, a scoring matrix for tool selection, tested prompt templates and a draft set of team usage rules. These materials are designed so you can take them straight into internal discussions with management, IT and your data protection officer.

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 “Generative AI for the Public Sector” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 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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