AI Development Director
The AI agent that drafts cultivation moves in your voice
Every other AI-native nonprofit platform claim is a marketing line without a shipped agent to point to. We have one. The AI Development Director is in private beta with anchor customers — drafting cultivation moves grounded in the donor record, citing sources on every action, with human-in-the-loop on every send.
What it actually does
Six capabilities that turn "AI-native" from claim into evidence. Each one runs on the integrated data graph — not a connector, not a sync, not a fine-tune.
Drafts cultivation moves in your voice
Reads the donor's giving history, engagement, and prior touches. Drafts the next move — note, ask, thank, re-engage — in the voice of the development team.
Cites sources on every action
Every drafted move is grounded in the underlying gifts, engagements, and notes. Click a sentence; see the data behind it. Auditable by design.
Human-in-the-loop on every send
Drafts, never sends. Every action stages for review by the right human. The agent surfaces work; the team approves it.
Audit log on every decision
What the agent saw, what it drafted, what was approved or revised, what shipped. Same audit-log shape as every other module — finance, compliance, security read one log.
Voice tuning, not training
No fine-tune required. Voice is captured from prior accepted moves and honed over time. The agent sounds more like your team every week.
Grounded in your data graph
Lives on the same integrated data graph that runs sponsorships, gifts, trips, and campaigns. Not a bolt-on. Not a syncing service. The graph is the substrate.
Why private beta
AI in major-gift fundraising is high-stakes. We'd rather get it right with a small set of anchor customers than ship something generic and call it AI-native.
Anchor customers shape the agent before broad release — the development directors who run major-gift programs at scale
Voice tuning needs real data and real feedback loops; broad rollout without that produces generic output
Cite-on-action governance needs to be airtight before unsupervised drafting reaches every customer
AI in fundraising is high-stakes — wrong tone on a major-donor cultivation costs more than a wrong tone in a marketing email
Cite-on-action governance
Every action the agent drafts is grounded in the underlying data — gifts, engagements, notes, prior moves. Click any sentence; see the data behind it. Every approved action lands in the same audit log finance and compliance already read. Wrong calls become reviewable; right calls become repeatable.
This is the difference between an LLM with a database connector and an AI agent built on an integrated data graph. The first hallucinates plausibly; the second cites the row.
Want a seat in the beta?
Beta seats are limited and prioritized for organizations with active major-gift programs and a willingness to shape the product. Book a conversation.