Training course · AI Agents · Communications & Translation

AI Agents for Communications and Translation

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

“AI Agents for Communications and Translation” is designed for roles such as Corporate communications and PR staff, Internal communications teams and Translators and language services and shows step by step how to use AI Agents productively, safely and transparently in Communications & Translation – from the fundamentals to advanced workflows.

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.

Corporate communications, PR, internal communications and language services are among the areas most directly transformed by generative AI. Press releases, intranet posts, speeches, Q&A documents and social content can be drafted faster with AI and varied for different audiences and channels. In translation, work is shifting from first drafts towards post-editing, terminology management and quality assurance. AI assistants help apply corporate language and style guides consistently, analyse media coverage and prepare crisis communication. At the same time, the demands on credibility, tone and cultural appropriateness are growing. Communications professionals and translators who use AI confidently gain time for strategy, advice and linguistic fine-tuning.

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?

  • Corporate communications and PR staff
  • Internal communications teams
  • Translators and language services
  • Corporate content and editorial teams
  • Press officers and spokespeople

Typical challenges we address

  • A growing number of channels, formats and languages
  • Consistency of tone, terminology and corporate language
  • Intense time pressure in press work and crisis communication
  • Quality assurance for machine translation

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.
  • Create and adapt communication content faster with AI in consistent corporate language.
  • Use AI translation professionally with post-editing, glossaries and quality assurance.
  • Prepare press work and crisis communication with AI in a structured way while maintaining credibility.

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: Communications & Translation
  • Press releases and statements
  • Adapting content for channels
  • Translation and post-editing
  • Terminology and style guide
  • Analysing media coverage
  • Preparing crisis communication
Module 7 Data protection, quality & transfer to daily work
  • Unpublished company information, particularly price-sensitive inside information, and confidential client texts may only be processed in approved AI environments. Copyright in source texts and images must be respected, and translations for clients are subject to confidentiality agreements and liability for final quality.
  • 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

Press releases and statements

Key facts and quotes become drafts of press releases, statements and Q&A documents that follow the house style and are approved by communications and subject experts.

Adapting content for channels

A core message is adapted in length, tone and format for intranet, newsletter, social media, employee app and presentations without losing precision. The same message reaches every audience in the right format.

Translation and post-editing

AI provides raw translations that translators refine in a targeted way; glossaries and style guides are built into prompts to keep terminology and tone consistent.

Terminology and style guide

Terminology lists are extracted from existing texts, deviations from corporate language detected and texts checked against the style guide and inclusive language rules. The brand stays consistent across authors.

Analysing media coverage

Press coverage and social media mentions are summarised by theme, sentiment and message to assess impact and decide on next steps. Recurring journalist questions feed into future Q&A documents.

Preparing crisis communication

Scenarios are rehearsed, holding statements and lines to take prepared and critical questions from journalists and employees anticipated. The team is ready to respond faster and consistently across all channels.

Prerequisites

You should already use an AI assistant such as ChatGPT, Copilot or Claude on a regular basis. No programming skills are required. Professional experience in communications, PR, editorial work or translation; 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

Unpublished company information, particularly price-sensitive inside information, and confidential client texts may only be processed in approved AI environments. Copyright in source texts and images must be respected, and translations for clients are subject to confidentiality agreements and liability for final quality.

Suggested dates

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

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Bremen Request
  • Tue, 12 January 2027 – Wed, 13 January 2027 Online Request
  • Thu, 21 January 2027 – Fri, 22 January 2027 Salzburg Request
  • Thu, 4 February 2027 – Fri, 5 February 2027 Online Request
  • Wed, 10 February 2027 – Thu, 11 February 2027 Kaiserslautern 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.

Will AI replace professional translators?

For routine texts AI produces usable drafts, but specialist terminology, cultural nuance, legal precision and brand voice require human expertise. The role is shifting towards post-editing, terminology work and quality assurance. In the course you learn to use AI in a way that raises both quality and efficiency.

How do we keep our communication authentic?

By using AI as a drafting tool while the messages, facts and stance come from you. Provide style guides and sample texts so drafts fit the brand, and revise deliberately. Generic copy appears mainly when AI works without context – exactly what the techniques in this course help you avoid.

How much does “AI Agents for Communications and Translation” 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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