First-Gift Welcome Drafter | Real Minds AI
Not-for-ProfitCustomer-service agentlive

First-Gift Welcome Drafter

Spots first-time donors who haven't been thanked, drafts a warm, personalised welcome sequence tied to the program they actually gave to, and queues it for staff to approve and send — targeting the sector's weakest metric, first-year donor retention.

realmindsai.com.au/theater/demos/nfp_first-gift-welcome-drafter.html · sandbox · read-only
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How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

First-time donors are the sector's leakiest metric — only about one in five give again — largely because small teams can't acknowledge and steward them in time. This pattern watches the CRM for new first gifts, drafts a short, personalised welcome sequence that references the specific program the donor supported, and queues each message for a fundraiser to review, edit, and send. It uses only the donor's first name and gift detail, adds no other PII, and never sends on its own — the relationship stays human. Built to lift first-year conversion without adding to the team's workload. Illustrative of the stewardship gap published donor-retention studies describe.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–4 weeks. Most of it is template work we've already done.

Estimated build time
3–4weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
Donor-stage detection, program mapping, sequence templates.
stack · Claude · Make · CRM API · email
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

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