Training course – AI Agents – Tax Advisory

AI Agents for Tax Advisers

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

Duration
6 hours, one session
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 Tax Advisers” is designed for roles such as Tax advisers and practice owners, Tax assistants and tax technicians and Accountants working in tax practices and shows step by step how to use AI Agents productively, safely and transparently in Tax Advisory – 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. In this compact course 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.

Tax advisory firms are under pressure from staff shortages, rising client expectations and a constant stream of legislative changes, administrative guidance and court rulings. Used responsibly, generative AI can provide real relief. AI assistants summarise case law and tax authority guidance, structure facts from client documents, draft client newsletters and objection letters and answer routine questions in plain language. Automation supports document intake, deadline management and client communication. Professional judgement and liability remain with qualified tax advisers, but research and drafting become faster. The key prerequisite is safe handling of client data: professional secrecy, professional conduct rules and the GDPR determine which tools may be used and how.

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?

  • Tax advisers and practice owners
  • Tax assistants and tax technicians
  • Accountants working in tax practices
  • Payroll staff
  • Practice managers and digital transformation leads

Typical challenges we address

  • Tracking and interpreting legislative changes, official guidance and court rulings promptly
  • Requesting and structuring incomplete client records
  • Reducing the time spent on submissions, objections and client correspondence
  • Coping with deadlines and seasonal peaks with limited staff

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 for research, summaries and draft submissions and verify results against primary sources.
  • Automate client communication and document processes in your practice.
  • Use AI while respecting professional secrecy, professional conduct rules and the GDPR.

Course outline

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
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: Tax Advisory
  • Summarising case law
  • Drafting objections and submissions
  • Client communication
  • Document checklists
  • Automated document intake
  • Knowledge management
Module 7 Data protection, quality & transfer to daily work
  • German tax advisers are bound by professional secrecy under the Tax Advisers Act and Section 203 of the Criminal Code; client data may only be shared with AI providers contractually bound to confidentiality and processing data in line with the GDPR. Otherwise, facts must be consistently anonymised.
  • 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

Summarising case law

An AI assistant summarises rulings, tax authority guidance or draft legislation, highlights key points and affected client groups and drafts internal technical updates that qualified advisers then check against the original source.

Drafting objections and submissions

Based on anonymised facts, AI produces a structured draft of an objection, a request to suspend enforcement or a reply to the tax office, including an outline of the arguments for further professional work.

Client communication

AI drafts clear client newsletters, explanations of tax assessments and reminders about missing documents, adapted for private clients, freelancers or businesses.

Document checklists

For income tax returns, annual financial statements or payroll queries, AI creates tailored checklists based on the client profile, reducing follow-up questions and repeated requests.

Automated document intake

An automation sorts incoming client documents, recognises document types, applies consistent file names and passes them to the practice software or flags missing information.

Knowledge management

Internal guidance notes, review templates and model wording are prepared and made searchable with AI support, so staff can access proven practice know-how more quickly.

Prerequisites

You should already use an AI assistant such as ChatGPT, Copilot or Claude on a regular basis. No programming skills are required. You work in a tax practice or corporate tax department and have a basic grounding in tax law.

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

German tax advisers are bound by professional secrecy under the Tax Advisers Act and Section 203 of the Criminal Code; client data may only be shared with AI providers contractually bound to confidentiality and processing data in line with the GDPR. Otherwise, facts must be consistently anonymised.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Wed, 16 December 2026 6 hrs Request
  • Salzburg Tue, 15 December 2026 6 hrs Request
  • Berlin Fri, 11 December 2026 6 hrs Request
  • Augsburg Thu, 10 December 2026 6 hrs Request
  • Hanover Thu, 10 December 2026 6 hrs Request
  • Bremen Tue, 15 December 2026 6 hrs Request
  • Stuttgart Wed, 16 December 2026 6 hrs Request
  • Kaiserslautern Fri, 11 December 2026 6 hrs Request
  • Online Fri, 11 December 2026 6 hrs 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 client data be entered into AI tools?

Only under strict conditions: the provider must be bound to confidentiality as a service provider, data processing must be contractually GDPR-compliant and inputs must not be used for training. Otherwise, work with anonymised facts. In the course we develop practical rules tailored to your practice.

Can AI give binding answers to tax questions?

No. AI assistants can be wrong about provisions, deadlines or case law and may not know the latest changes. They are useful for structuring, first drafts and research pointers. Professional judgement and liability stay with qualified advisers, who check every statement against legislation, commentaries and case law.

How much does “AI Agents for Tax Advisers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you 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 and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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