Training course · Perplexity · NGOs & Non-Profits

Perplexity for Non-Profit Organisations

AI-powered research with Perplexity: cited answers, source control, Spaces, Deep Research and systematic fact-checking.

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

“Perplexity for Non-Profit Organisations” is designed for roles such as Fundraising and donor relations staff, Project and programme managers and Communications and campaigns teams and shows step by step how to use Perplexity productively, safely and transparently in NGOs & Non-Profits – from the fundamentals to advanced workflows.

Perplexity combines language models with live web search and delivers answers backed by numbered citations. That makes it particularly suited to work where currency and traceability matter: market and competitor monitoring, research into regulation and standards, supplier and partner due diligence, or preparing decision papers. In this practical day you learn to phrase research questions precisely, steer the choice of sources deliberately and use follow-up questions to turn an initial answer into a robust research result.

You work with Spaces, where you group research on a topic, add your own files and set instructions for the team. With Deep Research you produce extensive reports that evaluate many sources and bring them together in a structured way. Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information. We also address data protection and licensing questions for business use. You leave with a reusable research process tailored to 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 phrase precise research questions and steer the choice of sources deliberately.
  • You assess sources by origin, currency and reliability and trace claims back to the original.
  • You organise research in Spaces and combine web sources with your own documents.
  • You use Deep Research to produce structured reports and decision support.
  • 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 Foundations of AI-powered research
  • How it works: language model, live web search and citations
  • How it differs from a classic search engine and a general chat assistant
  • Framing research questions precisely: time frame, region, source type
  • Follow-ups and drilling down instead of one-off queries
Module 2 Steering and assessing sources
  • Narrowing sources: web, academic literature, your own files
  • Targeting primary sources, official websites and specialist publications
  • Assessing source quality: origin, currency, vested interests
  • Tracing quotes and figures back to the original source
Module 3 Spaces and teamwork
  • Setting up Spaces for topics, projects or client requests
  • Uploading your own documents and combining them with web sources
  • Storing instructions for consistent output formats
  • Sharing research and turning it into pages or reports
Module 4 Deep Research and structured reports
  • Tackling broad questions with Deep Research
  • Producing market overviews, competitor comparisons and topic briefs
  • Turning results into tables, side-by-side comparisons and executive summaries
  • Recognising the limits of in-depth research and refining results
Module 5 Fact-checking, data protection and workflow
  • Systematic fact-checking: counter-research and spotting contradictions
  • Typical failure patterns: outdated, misattributed or fabricated details
  • Data protection, enterprise licences and handling confidential queries
  • A reusable research process and source documentation
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

Experience with online research in a professional context; no prior AI knowledge is required. Experience working in a non-profit organisation; no technical background required.

Technical requirements

A laptop with an up-to-date browser and a Perplexity account; we recommend Pro or Enterprise access to use Spaces with files and Deep Research in full.

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.

  • Thu, 26 November 2026 Online Request
  • Mon, 7 December 2026 Bremen Request
  • Fri, 22 January 2027 Salzburg Request
  • Wed, 27 January 2027 Online Request
  • Mon, 8 February 2027 Kaiserslautern Request
  • Tue, 23 February 2027 Online Request

Frequently asked questions

How does Perplexity differ from ChatGPT or a search engine?

A search engine returns a list of links, and a general chat assistant often answers from its training data. Perplexity searches the web at the moment you ask, summarises what it finds and backs each statement with citations. That makes it particularly well suited to current, verifiable research – although you still need to assess the sources yourself.

Can I rely on Perplexity's citations?

Citations make verification much easier, but they do not replace it. Occasionally a statement is attributed to a source that does not say quite that, or an outdated page is used. In the course you learn a lean fact-checking routine that lets you quickly verify critical statements against the original source.

Is Perplexity suitable for confidential research within a company?

Enterprise plans offer additional commitments on data use and administration. Even so, you should not put trade secrets or personal data into queries unless your internal policy explicitly allows it. We discuss how to phrase queries so that sensitive details stay protected while the research remains useful.

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 “Perplexity 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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