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How we work

AI in the engine room

PRASM is a tiny team doing the work of many. AI is how we do it: quietly, in the back office, so almost everything we have reaches the families. The people are always the face. AI is never the story.

Donors meet the doctor and the families, never a bot. AI is simply how two people do the work of ten, out of sight. And AI proposes; a human always decides.
From our operating principles

Where AI helps

Leverage, where it counts

We rank uses by how much they help this community and how responsibly we can run them today. Some already save us hours every week. Others are deliberately further out, because they touch people's safety.

Running today

Communications & fundraising

A voice note and a few photos from a field visit become honest, on-voice updates, donor notes, and grant drafts. A two-person team keeps the world informed without leaving the village.

In development

Health & clinical back-office

Reference and documentation that keep our founding doctor doing medical work, not paperwork: coding, drug and reference lookups, and clean patient histories. A reference, never a clinician.

In development

Education & language

Translation and learning support across Thai, Burmese, Kayan, and English, so distance and paperwork are smaller barriers to a child reaching a classroom.

In development

Identity & records

For people with no papers, a written history is the first proof they exist. AI helps organize case files and draft documents; people always decide. This is our most careful, most private work.

Already running, today

AI-native in the back office, at near-zero cost

This is not a someday promise. These tools are built and in use now, run by the founder, with a person approving every output before it leaves the building.

Field-to-Story engine

Raw field input becomes a publish-ready field note, donor update, and caption, grounded in our own story bank so nothing is invented.

Grants copilot

Funder-tailored application drafts that reuse the same grounded facts, so we are not writing each one from scratch.

Donor stewardship

Personal thank-you and supporter-update drafts, so recurring givers get rhythm and care, never spam.

Clinical reference groundwork

Validated ICD-10 coding reference for the doctor's records. Informational only; the clinician decides.

Built responsibly

Conscious by design, not by accident

These are the rules every AI decision here follows. They are why this is a foundation that happens to use AI well, not an experiment run on vulnerable people.

AI proposes, a human decides

Every public, clinical, or personal output is reviewed and approved by a person before it goes anywhere. AI removes the typing, never the judgment.

The people are the face

We will never make AI the mascot or the fundraising hook of a cause about vulnerable people. No bot speaks for the families.

Sensitive data is sacred

Beneficiary identities, medical details, and photos of identifiable people are never fed to a general-purpose model. They stay in a controlled, consented, access-logged setting.

Honest by default

AI never invents facts, numbers, names, quotes, or impact. If a claim is not grounded in something real, it does not ship.

Consent and dignity first

Ahead of storytelling and ahead of fundraising. Consent for any story or photo is explicit and revocable, and when we are unsure, we hold.

Built for the real world

Low-connectivity first and low-cost first. We capture offline and process later, and we never build infrastructure ahead of need.

For technology partners

Build dignified AI with us

We are looking for mission-aligned technology partners who want to see responsible AI make a measurable difference in education, health, and identity for people the system overlooks.

What we offer

  • A real, high-integrity deployment in a hard setting: refugees, off-grid, multilingual, with health, education, and identity needs.
  • A responsible-AI framework already in practice: human-in-the-loop, tiered data handling, and clear, published red lines.
  • A people-first cause with the dignity and discretion serious partners expect, never a stunt.
  • An openness to share what works, so the model can be followed by others.

What we are looking for

  • Model access and compute to run the engine room as we grow.
  • Privacy-preserving or on-device options for the most sensitive work.
  • Technical collaboration and mentorship for a very small team.
  • Funding to move from authoring tools to a secure records platform.

People first, always

AI is the engine room. The work, and the relationships that are the work, stay human.

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