Training course · AI Agents · Public Sector

AI Agents for the Public Sector

Agentic AI for business teams: understand AI agents, automate workflows safely and keep control with human-in-the-loop and governance.

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 AI Agents with the everyday processes of Public Sector. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

AI agents go a step beyond conventional chat assistants: they plan sub-tasks, use tools such as search, files or business applications and complete multi-step work largely on their own. Over two days you will learn how agents are built, how they differ from chatbots and traditional automation, and which tasks genuinely justify their use. Widely used platforms serve as practical examples, including Microsoft Copilot Studio, custom GPTs and Claude with projects and tool connections.

In the hands-on sessions you design agent workflows for tasks from your own area of work, from triaging requests through research and drafting to handing results over to business systems. You decide where a person reviews and approves, which permissions an agent receives and how errors are detected. A dedicated block covers governance, data protection and accountability, so that your agents not only work but remain controllable, traceable and defensible 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 explain how AI agents are structured and clearly distinguish them from chatbots and classic automation.
  • You can select a suitable agent platform for your requirements using transparent criteria.
  • You can design an agent workflow for a real process in your area and build a working prototype.
  • You can define human-in-the-loop checkpoints, test cases and escalation rules.
  • 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 What makes an AI agent
  • Agent building blocks: language model, instructions, knowledge, tools and memory
  • How agents differ from chatbots, macros and classic workflow automation
  • Levels of autonomy: from suggestion-making assistants to agents that act independently
  • Realistically judging which tasks suit agents and which do not
Module 2 Platform overview: Copilot Studio, GPTs and Claude
  • Microsoft Copilot Studio: agents grounded in company data and connected to Microsoft 365
  • Custom GPTs: configuring instructions, knowledge files and actions
  • Claude with projects, knowledge bases and tool access via the Model Context Protocol
  • Selection criteria: data access, integrations, administration and licensing
Module 3 Designing and building agent workflows
  • Breaking tasks into steps and defining hand-offs between agent and human
  • Writing system instructions, examples and knowledge sources for consistent output
  • Connecting tools: search, documents, email, spreadsheets and business applications
  • Building a prototype agent for a real process from your own area
Module 4 Human-in-the-loop, quality and error handling
  • Setting approval steps, escalation rules and thresholds for human review
  • Test cases, evaluation criteria and spot checks for quality assurance
  • Common failure modes: wrong tool choice, endless loops and fabricated facts
  • Using structured user feedback to improve the agent over time

Day 2

Module 5 Governance, security and roll-out
  • Roles and responsibilities across business units, IT, data protection and works council
  • Least-privilege permissions, logging and protection against prompt injection
  • Positioning under the EU AI Act and GDPR: transparency, documentation and data flows
  • From pilot agent to production: operation, maintenance and measuring success
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 already use an AI assistant such as ChatGPT, Copilot or Claude on a regular basis. 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. Ideally you have access to at least one agent platform such as Copilot Studio, ChatGPT with GPTs or Claude; practice accounts can be provided if needed.

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.

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Thu, 3 December 2026 – Fri, 4 December 2026 Kaiserslautern Request
  • Tue, 8 December 2026 – Wed, 9 December 2026 Online Request
  • Thu, 17 December 2026 – Fri, 18 December 2026 Bremen Request
  • Tue, 19 January 2027 – Wed, 20 January 2027 Online Request
  • Thu, 4 February 2027 – Fri, 5 February 2027 Salzburg Request

Frequently asked questions

Do I need programming skills to build AI agents?

No. The platforms used on the course rely on visual interfaces, plain-language instructions and ready-made connectors. You learn to specify agents precisely from a business perspective, connect tools and test workflows. Where deeper technical integration would be needed, you will know which requirements to put to your IT team.

Which platform will we use during the course?

The course is vendor-neutral and uses Microsoft Copilot Studio, custom GPTs and Claude as examples. You build your prototype on the platform that is available or planned in your organisation. The principles of workflow design, control and governance you learn carry over to other agent solutions as well.

How do I stop an agent from acting without control?

Through deliberate design: agents receive only the minimum permissions they need, critical actions such as sending, booking or deleting require human approval, and every step is logged. In addition, you define test cases and escalation rules. These are exactly the control mechanisms you develop for your own use case during the course.

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 “AI Agents 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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