Training course · Claude · NGOs & Non-Profits

Claude for Non-Profit Organisations

Claude as an AI assistant for knowledge work: projects, Artifacts, long documents, analysis and precise writing for teams.

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 Claude with the everyday processes of NGOs & Non-Profits. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Anthropic's Claude has become a go-to AI assistant for demanding knowledge work: it handles very long documents, reasons transparently and writes in a measured, easily steerable style. In this practical day you learn to exploit these strengths systematically. You analyse lengthy reports, contracts or policies, compare several sources and extract key findings with references to the exact passages. With Projects you store background knowledge and working instructions permanently, so Claude knows your terminology, templates and quality standards and you no longer start from scratch with every request.

We also show how to use Artifacts to produce standalone deliverables – structured documents, tables, charts or small interactive tools – and share them with your team. You analyse files with the built-in analysis capability, use research and connectors to company data, and put Claude to work as a critical reviewer of your own writing. A dedicated session covers Team and Enterprise plans, access management and data protection. By the end you have tested project set-ups and prompt patterns that you can apply straight away in your own function.

Charities, foundations, associations and NGOs tackle big challenges with limited resources. A large share of their capacity goes into grant applications, reports to funders, donor communication, public relations and coordinating volunteers. Generative AI can reduce exactly this burden: it helps draft project proposals and impact reports, personalises fundraising letters, creates social posts in several languages and summarises feedback from programmes. Automations ease membership administration and volunteer coordination. That leaves more time for the mission itself. At the same time, non-profits carry special responsibility for sensitive beneficiary data and for credible, authentic communication.

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?

  • Fundraising and donor relations staff
  • Project and programme managers
  • Communications and campaigns teams
  • Directors of charities, foundations and associations
  • Volunteer coordinators

Typical challenges we address

  • Scarce staff and financial resources
  • Heavy effort for grant applications and reporting to funders
  • Communication with many audiences across many channels
  • Protecting sensitive data of beneficiaries, donors and members

What you will be able to do

  • You write precise, structured instructions that let Claude handle complex tasks reliably.
  • You analyse long and multiple documents and obtain referenced, verifiable summaries.
  • You set up Projects with a knowledge base and style rules and share them with your team.
  • You use Artifacts and the analysis capability to produce usable documents, tables and evaluations.
  • Produce grant applications, reports and donor communication more efficiently and precisely with AI.
  • Use AI responsibly and with data minimisation when handling beneficiary and donor data.
  • Relieve your team through simple automations in volunteer and membership administration.

Course outline

Module 1 Understanding and directing Claude
  • Model family, strengths and limitations compared with other assistants
  • Clear instructions with context, examples and the desired output format
  • Structured input using sections and tags for complex tasks
  • Extended thinking and step-by-step approaches for demanding questions
Module 2 Analysing long documents
  • Uploading and querying large PDFs, reports and contract sets
  • Comparing multiple documents and surfacing contradictions
  • Summaries with references to specific passages
  • Deriving checklists and review grids from policies and guidelines
Module 3 Projects and knowledge base
  • Creating Projects with knowledge documents and persistent instructions
  • Storing style and terminology rules for consistent results
  • Sharing Projects with the team and developing them together
  • Making good use of connectors to drives and business applications
Module 4 Artifacts, analysis and writing
  • Creating Artifacts for documents, tables, charts and interactive tools
  • Analysing files and spreadsheets with the built-in analysis capability
  • Drafting, shortening, rewording and tailoring text to audiences
  • Using Claude as a critical reviewer of arguments and gaps
Module 5 Team use, data protection and quality
  • Team and Enterprise plans: administration, roles and sharing
  • Handling confidential and personal data in line with GDPR
  • Checking output: verifying facts, figures and quotations
  • Defining internal guidelines and reusable prompt patterns
Module 6 Practice lab: NGOs & Non-Profits
  • Drafting grant applications
  • Impact and narrative reports
  • Donor communication
  • Campaigns and social media
  • Coordinating volunteers
  • Analysing feedback and surveys
Module 7 Data protection, quality & transfer to daily work
  • Beneficiary data can be highly sensitive, such as health, ethnic origin or religion, and does not belong in unapproved AI tools; donor and member data is subject to the GDPR. Funders may set their own rules on AI use, and AI-generated images in fundraising should be clearly labelled.
  • 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 grant applications

Funding criteria are turned into checklists, project logic with objectives, indicators and activities is structured, and proposal text is written to match the funder's requirements.

Impact and narrative reports

Project data, participant numbers and feedback become clear impact reports, annual reports and grant reports that present results transparently and honestly. Setbacks and lessons learned are presented constructively rather than hidden.

Donor communication

Thank-you letters, mailings and appeals are tailored to the audience and prepared in variants for segments such as first-time, regular or major donors. Personal tone and real stories stay central.

Campaigns and social media

AI helps sharpen key messages, build content calendars and write posts for different channels and languages – with a focus on authentic stories rather than generic copy.

Coordinating volunteers

Rotas, induction materials, FAQs and reminders for volunteers are prepared, and recurring coordination is simplified through forms and automations. New volunteers find their feet faster and tend to stay longer.

Analysing feedback and surveys

Open-ended feedback from participants, members or partners is grouped by theme and summarised to develop programmes in a targeted way. Results also feed into impact reports and funder conversations.

Prerequisites

Confident use of office applications and a web browser; prior AI experience is helpful but not required. Your own non-confidential documents are welcome as practice material. Experience working in a non-profit organisation; no technical background required.

Technical requirements

A laptop with an up-to-date browser or the Claude desktop app and a Claude account; we recommend Pro, Team or Enterprise access for Projects and larger files.

Data protection & compliance

Beneficiary data can be highly sensitive, such as health, ethnic origin or religion, and does not belong in unapproved AI tools; donor and member data is subject to the GDPR. Funders may set their own rules on AI use, and AI-generated images in fundraising should be clearly labelled.

Suggested dates

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

  • Wed, 25 November 2026 Online Request
  • Thu, 3 December 2026 Munich Request
  • Thu, 10 December 2026 Online Request
  • Tue, 15 December 2026 Stuttgart Request
  • Fri, 8 January 2027 Hanover Request
  • Fri, 15 January 2027 Online Request

Frequently asked questions

How does Claude differ from ChatGPT in everyday work?

Both are capable general-purpose assistants. Claude particularly stands out with very long documents, careful reasoning and an easily steerable writing style, while Projects and Artifacts support structured work. Which tool fits better depends on your tasks, integrations and company policies – the course gives you criteria for an informed assessment.

What are Artifacts and why would I use them?

Artifacts are standalone deliverables that Claude creates in a separate panel next to the chat – a document, a table, a chart or a small interactive tool, for example. They can be revised in a targeted way, downloaded and shared. A conversation therefore produces ready-to-use results rather than scattered fragments of text.

Is my data used to train Claude?

On Team and Enterprise plans, business content is not used for model training as a matter of principle. For individual accounts this depends on settings you should review yourself. Regardless of the plan, GDPR and internal confidentiality rules apply. In the course we walk through the relevant settings and the questions to ask.

Which AI tools suit organisations on a tight budget?

Many vendors offer discounted plans for non-profits, and even the basic versions of common AI assistants deliver a lot of value. What matters is that data protection and contract terms fit your data. The course is tool-neutral and helps you choose a suitable, affordable setup.

Is it credible to write fundraising letters with AI?

Yes, as long as the content stays authentic. AI helps you structure and vary text, but the stories, figures and images must be real and come from your work. Invented case studies or unlabelled AI images can damage trust for a long time.

How much does “Claude for Non-Profit Organisations” 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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