The AI department your nonprofit doesn't have.

Stay current as AI changes. Build your team's capability. Put AI to work on real tasks. And when you are ready, get help embedding it across your organisation — from policy and practice to agents, automations and custom systems.Stay current. Build your team's capability. Put AI to work — with support when you need it.

What does your organisation need help with?What does your team need?

One department · four jobs

From keeping up to putting AI to work.

The need changes as your organisation moves: first understand what is changing, then build capability, use AI on real work, and finally embed it in shared decisions and systems. Start with the job in front of you.

The Daily AI Briefing

Open to all

What happened in AI today and what it means for nonprofits: the stories, why each one matters, and the sector news nobody else bothers to collect. Published every morning since March, weekends included. No signup.

01 — Build capability

Help your team learn AI by using it.

Courses and plain-language guides take people from a first useful prompt to agents, automations and better ways of checking the work. Start with one person, or give a whole team a shared place to build capability.

The Hub · as it looks today

The Hub home screen with the Daily AI Briefing, learning, templates and the AI Workbench
The courses and files room inside the Hub, showing the course shelf

The Hub

Open to all
  • Learn it, from a first useful prompt through to agents
  • Understand the ideas before you automate them
  • Take templates and workflows into real team practice

Nobody has to already understand any of this; that is the point. Browse first, then create an account when you want the Hub to remember where you got to.

02 — Embed it

Turn individual use into organisational practice.

What no one has done is decide how the organisation wants AI to work — and that is not a thing one person can settle alone. Seven connected areas turn policy, tools, safeguards and capability into shared practice; AI changes flag what needs review.

One organisation · seven stations

Station 01 leaves youAI Use Policy v1.2
Station 02 leaves youData classification
Station 03 leaves youTool register
Station 04 leaves youWays of working
Station 05 leaves youCapability plan
Station 06 leaves youTeam norms
Station 07 leaves youBoard one-pager
01020304050607

The Pathway

Per organisation

You stop being the only person who knows what is allowed. The work stops living in one person's head and becomes policy, practices and decisions your organisation can use, review and explain to its board.

Not for you if you want one person trained up. This only works when the people who can actually decide things are in the room.

03 — Implement what matters

“We all use ChatGPT now. Nothing has actually changed.

Because chat is stage one of five. The change everyone was promised lives further along — where AI stops being a tab somebody opens and becomes part of how the organisation runs. That part is built, not prompted.

Agents & automations · one example

overnight.log — one agent's night, illustratedSAMPLE
23:41 New donors synced from the CRM to the mailing list14 ROWS
01:12 Monthly impact report drafted from the databaseIN REVIEW
05:26 Overnight sector news read and summarisedREADY
07:00 Three items queued for a human decisionYOUR CALL

Every step logged. Nothing sends without a person signing off.

Implementation support

Built with your team
  • Agents & automationsAI agents that handle real operational tasks, and workflows that connect your CRM to your communications.
  • Custom buildsYou describe it in plain words, and you see a working version before you commit to anything.
  • Because of YouEvery donor gets a thank-you page of their own. Shipped and live.

04 — Who you would be working with

Kyle Behrend
Kyle BehrendFounder, AI Impact Hub

One organisation I worked with went from 5% to 83% weekly AI use inside a year. None of that came from a course. It came from changing how the organisation worked.

I spent thirteen and a half years inside an Australian animal sanctuary as its first paid staff member — fifteen years in the sector all up. I have sat on your side of this.

I collaborated with OpenAI on the nonprofit track of their academy, and since then have trained over 2,000+ nonprofit professionals. Every figure on this page is one I can show you the working for.

200+workshops4continents2,000+people trained25,000+views with OpenAI
Speaking & workshops ↗Booking, speaking and consulting all live on my own site.

◆ Templates & workflows · ready for work

Start with something your team can use today.

  • The AI Maturity Model, to see where you actually sit
  • An introduction to AI eBook for the whole team
  • An AI policy template you can start from today
  • Plus the rest of the shelf: the interview prompt, a grant workflow, a board pack, an impact audit and role prompt packs

One email. Every template.

No drip sequence, no sales call. An optional account on the next page keeps the lot together in your Hub.