Personal donor outreach at the scale of every supporter.
Drafts personalized thank-yous, impact updates, and event invites for each donor — referencing their actual giving history and what their gift specifically funded.
184 thank-yous drafted. Sample for a recurring donor:
How does OpenAI (ChatGPT) work for nonprofit teams?
OpenAI (ChatGPT) works for nonprofit teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your nonprofit operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your nonprofit team to focus on high-value strategic work. Teams typically see improved recurring giving once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your nonprofit team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For nonprofit teams, this typically means routing workflows from tools like Bloomerang alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Lillian — your March gift just funded 14 weekly meals
Your $250 gift this month brings your three-year total with us to $4,820 — and this March, it directly funds 14 weeks of warm meals at the Pine Street kitchen.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to lillian.r@homemail.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Personalize every donor thank-you with @ChatGPT — pull each donor's history, men
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Salesforce NPSP, Bloomerang, Blackbaud, DonorPerfect, Neon CRM, Givebutter. Donation data and history flow into every personalized message.
It connects each donor's giving to specific program outcomes. Instead of "thanks for your support," donors hear what their specific gift funded.
Yes — it drafts personalized appeals based on each donor's giving history and interests. Appeals run through your team's review before sending.
The agent handles the routine touchpoints (event invites, impact updates, year-end statements). Substantive major-gift conversations stay with your development director.
It can draft grant report sections from program data and prepare boilerplate sections of new applications. Substantive narrative stays with your grants team.
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