Training course · Claude Code · Accounting
Claude Code for Accounting Teams
Agentic coding with Claude Code in the terminal and IDE: CLAUDE.md, subagents, hooks, MCP, CI pipelines and secure permissions.
- 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 Claude Code with the everyday processes of Accounting. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.
Claude Code is not only for professional developers. Business users with no programming background can use it to analyse data, clean up Excel and CSV files, generate reports or build small internal tools, all in plain language. You describe what should happen, and Claude Code writes and runs the necessary scripts itself. This course variant shows you how to put these capabilities to work in your daily job without needing to understand code, and how to check the results reliably before anyone relies on them.
You will work through realistic office scenarios: merging exports from several systems, producing analyses with charts, generating documents and mail merges automatically, or turning repetitive file chores into a single command. Working safely is a central theme: which data may be processed, how you stay in control of approvals, and when to involve your IT department. The result is a set of useful helpers that take load off your team while remaining transparent and easy to hand over.
Accounting is shaped by recurring processes, high document volumes and strict requirements for proper bookkeeping. Generative AI and automation provide real relief: AI assistants extract data from supplier invoices, suggest account assignments, explain transactions under local GAAP or IFRS and draft queries to suppliers or internal departments. AI agents support account reconciliations, the month-end close and the preparation of documents for external auditors and tax advisers. Responsibility for correct postings stays with people, but routine work shrinks, leaving time for exceptions, process improvement and analysis. The prerequisites are clear review steps, documented procedures and tools that respect requirements for traceability and immutability, such as the German GoBD principles.
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?
- General ledger and accounts payable accountants
- Accounts receivable specialists
- Financial accountants preparing statements
- Heads of accounting
- Shared service centre staff
Typical challenges we address
- Processing high volumes of documents in many formats on time
- Resolving reconciliations and open items during the month-end close
- Accounting correctly for complex transactions under GAAP, IFRS and VAT rules
- Providing complete, traceable records for audits and tax inspections
What you will be able to do
- You commission data analyses and file tasks from Claude Code in plain language.
- You clean and combine Excel and CSV data and check the results for plausibility.
- You automate recurring document and reporting tasks with reusable instructions.
- You have small internal helper tools built and refine them step by step.
- Use AI for document processing, account assignment suggestions and reconciliations with clear review steps.
- Use AI assistants to clarify GAAP, IFRS and VAT questions and verify the answers professionally.
- Design AI-supported processes that meet bookkeeping compliance requirements and are fully documented.
Course outline
Day 1
Module 1 Getting started without coding skills
- What a coding agent is and what it is allowed to do on your computer
- Launching Claude Code and setting up a protected working folder
- Describing tasks in everyday language: goal, input files, expected result
- Understanding approval prompts and consciously accepting or declining them
Module 2 Analysing data in Excel and CSV files
- Cleaning exports: duplicates, date formats, missing values
- Combining several tables and calculating key figures
- Producing charts and summaries as Excel files or images
- Sanity-checking results with spot checks and cross-calculations
Module 3 Automating documents and routine tasks
- Generating reports, minutes and mail merges from templates and data
- Renaming, sorting and converting files automatically
- Saving recurring procedures as reusable instructions
- Writing a simple team guide in CLAUDE.md
Module 4 Building small scripts and internal tools
- From idea to working helper: stating requirements clearly
- Having simple input forms or local web interfaces created
- Improving step by step: describing problems instead of debugging yourself
- Documenting results so colleagues can use them
Day 2
Module 5 Working safely and responsibly
- Handling personal and confidential data correctly
- Limiting permissions and working only in approved folders
- Recognising limits: when a tool should be handed over to IT
- Coordinating with IT, data protection and business owners
Module 6 Hands-on project: your own solution for Accounting
- Invoice checker – A small app that checks uploaded invoices for mandatory details, lists missing information and drafts a query email to the supplier.
- Open item matcher – An internal tool that matches bank transactions with open items from CSV files, suggests hits by amount and reference and clearly displays remaining differences.
- Close tracker – A month-end close dashboard with tasks, owners, deadlines and status that highlights delays and generates a status email for management.
Module 7 Data protection, quality & transfer to daily work
- AI-supported accounting processes must meet bookkeeping requirements such as the German GoBD, in particular traceability, immutability and up-to-date procedural documentation. Invoices and bank data contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement.
- 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
Invoice data extraction
AI reads incoming invoices in PDF or e-invoicing formats, checks mandatory VAT details, suggests supplier, GL account and cost centre and flags incomplete or unusual documents for review.
Account assignment and guidance
An AI assistant explains transactions such as prepayments, provisions or capitalisation of assets, proposes possible journal entries and points to the relevant rules, which you then verify professionally.
Reconciliation support
Automations compare bank transactions with receivables and payables, match payments to open items and produce a list of unexplained differences with suggested explanations for the month-end close.
Dunning and supplier communication
AI drafts polite, factual payment reminders, queries about missing purchase order numbers or credit note requests and adapts tone and language for domestic and international customers and suppliers.
Close checklists and procedures
From existing notes, AI creates structured closing checklists, work instructions and sections of the procedural documentation required for compliant bookkeeping, which the team reviews and maintains.
Audit request preparation
When auditors or tax inspectors send requests, AI helps structure the questions, map the evidence required and draft clear explanations of postings, estimates and judgements.
Possible hands-on projects
Invoice checker
A small app that checks uploaded invoices for mandatory details, lists missing information and drafts a query email to the supplier.
Open item matcher
An internal tool that matches bank transactions with open items from CSV files, suggests hits by amount and reference and clearly displays remaining differences.
Close tracker
A month-end close dashboard with tasks, owners, deadlines and status that highlights delays and generates a status email for management.
Prerequisites
No programming knowledge is needed; confident use of Excel, files and folders on your own computer is sufficient. You have a basic knowledge of financial accounting and work regularly with an ERP or accounting system.
Technical requirements
Your own laptop with admin rights, Git, a Node.js runtime and an up-to-date editor; a Claude subscription or Anthropic API access is required for the exercises.
Data protection & compliance
AI-supported accounting processes must meet bookkeeping requirements such as the German GoBD, in particular traceability, immutability and up-to-date procedural documentation. Invoices and bank data contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement.
Suggested dates
All dates are suggestions – your preferred date is always possible.
- Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
- Mon, 30 November 2026 – Tue, 1 December 2026 Munich Request
- Thu, 10 December 2026 – Fri, 11 December 2026 Online Request
- Thu, 7 January 2027 – Fri, 8 January 2027 Online Request
- Thu, 14 January 2027 – Fri, 15 January 2027 Hanover Request
- Wed, 27 January 2027 – Thu, 28 January 2027 Online Request
Frequently asked questions
How is Claude Code different from traditional code completion?
Code completion suggests the next few lines, whereas Claude Code acts as an agent that handles whole tasks: it searches the repository, plans changes across several files, runs tests and commands, and corrects itself based on the results. You define the goal and review the outcome instead of steering every single line yourself.
Is Claude Code secure enough for enterprise use?
By default, Claude Code asks for approval before editing files or running commands. Permission rules, sandboxing, managed settings and hooks let you define precisely what the agent may do. During the course you learn to configure these mechanisms to match your security and data protection requirements and to assess risks such as prompt injection.
Does Claude Code work with my language and tech stack?
Yes. Claude Code is language-agnostic because it works with files, terminal commands and your existing build and test tooling. Whether you use Python, Java, TypeScript, Go, SAP-related code or infrastructure as code, what matters most is a well-written CLAUDE.md describing your commands and conventions. Each course variant adds the relevant domain focus.
Are AI-supported postings compliant?
AI provides suggestions, but postings are made in your compliant accounting system after review by staff. What matters are documented review steps, logging and updated procedural documentation. In the course we work out how to embed AI steps cleanly in your process and make them transparent to auditors.
How well does AI handle invoices with different layouts?
Modern models usually process varied layouts and structured e-invoices reliably, but they make mistakes with blurred scans or unusual formats. Plausibility checks such as total reconciliation, VAT rate validation and supplier master data matching are therefore essential. We show how to build these controls into your workflow.
How much does “Claude Code for Accounting Teams” 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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- n8n for Accounting Teams
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- Mistral Le Chat for Accounting Teams
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