AI for Not-for-Profits

Artificial intelligence for Australian NFPs: what it is, where it helps, and how to use it safely

Australia has over 60,000 charities. Most of them operate with limited resources and a heavy administrative burden. AI can help with that — freeing up staff time for the work that actually matters.

But 76% of NFPs have no AI strategy, and 80% have no AI policy. Staff are already using AI tools whether you have a policy or not. This guide covers what NFP leaders need to know to get started safely.

68%
of NFP staff have already tried AI in their work
Generosity AI, 2024
76%
of NFPs have no AI strategy
Techsoup, 2025
80%
lack an official AI use policy
Techsoup, 2025
92%
feel unprepared for generative AI
MailChimp / AI Equity Project, 2025
Where AI helps

What AI can realistically do for your organisation

Most of the value for NFPs comes from automating repetitive tasks and improving content quality, not from complex technical implementations. Here are the practical areas where AI saves time.

Content and communications

  • Draft donor emails and fundraising letters
  • Write and edit reports, newsletters and community updates
  • Create grant proposal templates and applications
  • Generate plain-English summaries for different audiences

Research and data

  • Analyse donor data to predict giving patterns
  • Synthesise feedback from workshops and surveys
  • Identify funding opportunities and emerging community needs
  • Produce impact measurement reports from raw data

Operations and admin

  • Automate meeting notes and action items
  • Match volunteers with roles based on availability
  • Process and triage routine enquiries via chatbot
  • Schedule and streamline repetitive administrative tasks

Service delivery

  • Support frontline staff with quick answers about grants and services
  • Personalise service plans for clients based on internal records
  • Use chatbots as first-line support for common beneficiary questions
  • Automate beneficiary feedback surveys and sentiment analysis

A word on limitations

Not all AI tools are available in Australia, and every AI tool carries risks including privacy, copyright and bias concerns. Always verify AI outputs before using them externally, and never paste sensitive client or donor information into public AI tools like the free version of ChatGPT.

Legal risks

What NFP leaders need to know about AI and the law

There are no Australian laws directly targeting AI across all sectors, but existing legislation applies. These are the main areas of legal risk for community organisations.

Note: The legal and regulatory landscape around AI in Australia is evolving quickly. The Australian Government published its Voluntary AI Safety Standard in 2024 and is moving toward mandatory guardrails for high-risk AI use. Directors and committee members should stay informed of developments that affect their organisation. If you have a specific legal question, seek legal advice before acting.

AI policy

Your organisation needs an AI policy

An AI policy does not need to be long. One or two pages covering what staff can and cannot do, which tools are approved, how to handle data, and who to contact with questions is enough to start. Aim for three to five clear principles that translate into practical do's and don'ts.

The Australian Government's Guidance for AI Adoption includes a policy template that organisations can adapt. The Institute of Community Directors Australia also has an AI governance framework guide for not-for-profits.

Protect people and privacy first

Never enter personal, donor or participant details into public AI tools. Assume anything you type could become public.

Use judgement and check outputs

AI can generate confident but incorrect information. Always verify facts before using outputs externally, and check for fairness and bias in AI-generated content.

Be responsible and accountable

AI should not make final decisions about donors or beneficiaries. Be able to explain and justify your work. Disclose meaningful AI assistance where appropriate.

What your policy should cover

  • Purpose and scope
  • Approved AI tools
  • Prohibited uses
  • Data handling rules
  • Human oversight requirements
  • How to report concerns
  • Review schedule
  • Who is accountable
Data classification

Classify your data before you start

Before staff use AI tools, they need to know what data can go in and what cannot. A simple three-level classification is the most practical starting point.

Red — Restricted

Never enter into any AI tool

Client case notes, health data, child protection records, donor bank details

Amber — Internal

Enterprise AI tools only, with human review before sharing

Aggregated program data, staff survey results, draft internal reports

Green — Public

Safe to use in AI tools, but still review before publishing

Published reports, website text, generic fundraising copy, training materials

Under the Australian Privacy Principles, your organisation must ensure that any overseas recipient of personal information handles it in a way that is substantially similar to Australian protections. Most public AI tools cannot guarantee this. Always use enterprise-grade tools for anything beyond publicly available information.

Getting started

A practical six-step approach for NFPs

Organisations that take the time to plan their AI adoption are four times more likely to rate their change programmes as successful. Start small, stay structured, and build from there.

1

Define your AI aspiration

Set a clear goal for what AI should do in your organisation. This might be as simple as reducing admin burden so staff can focus on mission delivery. The goal should reflect your size, resources and values.

2

Baseline where you are now

Survey staff to understand how AI is already being used, where confidence is low, and what the appetite for change looks like. You cannot plan a roll-out without knowing your starting point.

3

Select one domain to pilot first

Choose a single workflow to trial rather than trying to transform everything at once. Good candidates are high-volume, low-risk tasks like grant writing, impact reporting or summarising meeting notes.

4

Create risk management structures

Build a governance framework, write a simple AI policy, and establish who is accountable for each AI system your organisation uses. Classify your data into what can and cannot go into AI tools.

5

Upskill your team

Short, role-based training sessions are more effective than lengthy all-staff courses. Identify early adopters who can champion safe use, and create a shared resource hub for prompts and lessons learned.

6

Measure and scale responsibly

Track hours saved, staff confidence, and quality outcomes from your first pilot. Share results openly, address concerns, and only expand to new domains once you have demonstrated the approach works safely.

Board governance

What boards and executives need to do

Directors, committee members and office-holders have legal duties that extend to AI. These include the duty to act with reasonable care and skill, which requires understanding how AI is being used in your organisation and managing the associated risks.

This does not mean boards need to understand the technical details of how AI systems work. It means they need to ask the right questions, ensure policies exist, and make sure someone is accountable for AI oversight.

Questions boards should be asking

  • Are we using AI? If so, which tools and for what purpose?
  • What systems do we have in place to manage AI risks?
  • Who is accountable if an AI system causes harm or a breach?
  • Does our privacy policy cover how we share data with AI tools?
  • How are we upskilling staff to use AI safely and responsibly?
  • Are we aligned with Australia's AI Ethics Principles and the Voluntary AI Safety Standard?
Australian AI ethics

Australia's AI Ethics Principles

The Australian Government has adopted eight national AI Ethics Principles aligned with OECD standards. While voluntary, they provide a useful framework for responsible AI use in community organisations.

1
Human, social and environmental wellbeing: AI systems should benefit individuals, society and the environment throughout their lifecycle.
2
Human-centred values: AI systems should respect human rights, diversity, and individual autonomy.
3
Fairness: AI systems should be inclusive and accessible, and should not result in unfair discrimination.
4
Privacy protection and security: AI systems should uphold privacy rights and data protection, and ensure the security of data.
5
Reliability and safety: AI systems should operate reliably in accordance with their intended purpose.
6
Transparency and explainability: People should be able to understand when they are significantly impacted by AI.
7
Contestability: There should be a timely process for people to challenge AI decisions that significantly affect them.
8
Accountability: Those responsible for AI systems should be identifiable and accountable for outcomes.
Practical tips

Tips for using AI tools responsibly

Define the problem you are trying to solve before choosing a tool.
Understand the tool's capabilities and limitations. Most AI tools have limitations in accuracy, bias and data handling.
Never paste information belonging to your organisation or information that is personal, sensitive or confidential into public AI tools.
Treat AI outputs as a starting point. They can be wrong. Always review before using externally.
The specificity of your prompts significantly impacts the quality of outputs.
Choose AI tools that offer some level of explainability when possible.
Always double-check facts from AI tools against reliable sources before publishing or acting on them.
AI tools can inherit and amplify biases present in their training data. Be mindful of this in outputs.
Stay informed. The field of AI is evolving quickly, and what is best practice today may change.
How Real Bytes helps

IT and AI support for Australian not-for-profits

We work with NFPs, community organisations and charities across Australia. We know the resource pressures, the compliance obligations and the need to stretch every dollar. Our job is to give your team reliable technology and practical guidance, so you can focus on your mission.

That includes helping you think through AI adoption responsibly, putting the right tools in place, and making sure your data governance and security practices are sound before you start using AI across your operations.

Microsoft 365 setup, management and security for NFPs
AI readiness assessments and governance support
Managed security and endpoint protection
Staff training and technology onboarding
Privacy and data protection guidance
Affordable support plans with no lock-in contracts
Free guides

Practical AI guides for NFPs

Two plain-English guides covering how to get real value from Microsoft Copilot and Claude, including pricing, prompt templates, and responsible use for Australian charities.

Microsoft

Copilot for Not-for-Profits

Setup and nonprofit pricing, prompt templates for grant writing and donor comms, dos and don'ts, and governance in 60 seconds. Covers Copilot in Word, Excel, Outlook, Teams and PowerPoint.

  • Nonprofit pricing (free Copilot Chat included)
  • Copy-paste prompt templates
  • Meeting recaps, grant drafts, donor analytics
  • Governance and responsible use checklist
Download Copilot guide (PDF)

Anthropic

Claude AI for Not-for-Profits

How to get your team productive with Claude in under an hour. Covers the nonprofit discount (up to 75% off), prompting techniques, copy-paste templates, and privacy obligations under the Australian Privacy Act.

  • 75% nonprofit discount for ACNC-registered orgs
  • Four-part prompt framework with worked examples
  • Grant writing, donor outreach, board minutes templates
  • Privacy and responsible use guidance
Download Claude guide (PDF)
Get in touch

Talk to us about AI for your NFP

Whether you want to understand where AI could help your organisation, develop a simple AI policy, or build the foundations for responsible adoption, we can help you get there without overcomplicating it.