Working Group Charter: Non-profit AI Acceleration
Last updated 31 July 2026
Group name
Non-profit AI Acceleration
Mission
Transform how Muslim non-profits use AI: document what already works, embed IASER members to make it work in more organizations, and turn the lessons into an open-source platform any non-profit can run on.
Deliverable
Three stages, each building on the last:
- Case studies — a published collection on iaser.ai: 8–12 Muslim non-profits that have successfully implemented AI, each interviewed and written up.
- Embed program — a pilot placing IASER members inside non-profits to help them optimize their use of AI.
- Platform — the lessons from the embeds extracted into an AI-first non-profit logistics platform, open source.
In scope
- Identifying candidate organizations and conducting the interviews.
- Writing and publishing the case studies on iaser.ai.
- IASER’s own operations as an early case study (the dispatch pipeline, the agentic development of iaser.ai).
- The cross-case findings: a synthesis of what adoption actually looks like, which shapes the embed program.
- The embed pilot: matching IASER members to host non-profits, and the hands-on work of optimizing each host’s use of AI.
- Extracting what the embeds learn into the open-source AI-first logistics platform for non-profits.
Out of scope
- A commercial services business. The embeds are a volunteer pilot and the platform is open source — nothing in this group is sold.
- Organizational consulting beyond AI. Embeds help their hosts use AI well; they are not general management consultants.
Duration, timeline, and milestones
Document, embed, build: publish the case studies, use their findings to design the embed pilot, run the embeds in a handful of organizations, and extract what they learn into the open-source platform.
T₀ = the chartering date (co-leads confirmed). Offsets firm up at the first milestone review.
| Milestone | What it concretely demonstrates | Review date |
|---|---|---|
| First studies live | First case studies published on iaser.ai; full pipeline of 8–12 organizations committed | T₀ + 8 weeks |
| Collection complete, embeds designed | Full collection published with cross-case findings; embed pilot designed and host organizations matched | T₀ + 16 weeks |
| Embeds running | IASER members embedded in the first host non-profits, optimization work underway | T₀ + 24 weeks |
| Platform v0.1 | Embed lessons extracted into the open-source AI-first logistics platform: first public release | T₀ + 40 weeks |
Resources needed
- Introductions to candidate organizations from the IASER network — case-study subjects first, embed hosts later.
- From IASER: the publishing home on iaser.ai and editorial support.
- Volunteer time is the core resource, shifting shape by stage: interviewers and writers, then embedded members, then engineers for the platform.
- Modest hosting and inference costs once the platform stage begins.
Audience
Leaders and boards of Muslim non-profits weighing AI adoption, who find the collection on iaser.ai; the host organizations the embeds serve directly; and — through the open-source platform — non-profits anywhere.
How we work
The case studies publish on iaser.ai; the platform lives in a new
public repo under github.com/iaser-ai when its stage begins. Meeting
cadence set by the co-leads at chartering.