She calls to ask how to set up a monthly gift. The AI answers in one ring, explains the options from YOUR information, and books the call with the development director — gift secured, not lost to voicemail.

Pantry hours, intake requirements, what to bring, which languages you serve: answered instantly, kindly and identically every time — in the caller’s own language.

Shift questions answered, orientation sign-ups booked into real calendars, reminders sent — the volunteer coordinator stops being a switchboard.

The organizational background, the program outcomes, the budget narrative: drafted from your past proposals and real program data, restructured to each funder’s requirements — cited, awaiting the grants officer.

Meals served, families housed, students tutored: the numbers live in your records, and the AI assembles them into the funder report and the annual report narrative — with every figure traceable.

Every AI-drafted document lands in Output awaiting review. Nothing reaches a funder, a donor or the board without a human decision.

PDFs, Word, spreadsheets, scanned agreements and event photos — the ingestion pipeline turns what the organization actually holds into queryable knowledge.

No source in your library, no claim: the AI cites the proposal, the report, the minutes — or says it cannot answer. Funders can check every number.

A volunteer asks about event logistics; the development director asks about a donor’s giving history: each gets answers scoped to their role, enforced server-side.

Grant section, impact report, stewardship list, board summary: work types molded to your organization, with default libraries and examples per type.

The AI’s workload is managed like the team’s: one-click views show what is urgent, late, today and tomorrow — no deadline slips silently in reporting season.

Every work is a full session: reasoning streamed, sources cited, milestones tracked, linked to the funder record and the calendar.

Beneficiary intake steps, eligibility rules, volunteer conduct policies, safeguarding procedures: one library, current versions on top, superseded drafts outranked.

“What documents does a family need for intake?” — answered in seconds with the manual attached, to the front-desk volunteer on the busiest morning of the month.

Work types carry their default policies: the AI drafting a funder report reads from that funder’s reporting requirements — by construction.

New volunteers and staff learn your intake steps, program rules, systems and policies through guided training — useful on their first shift, not their fifth.

“How do I log a food-pantry visit?” — asked to the assistant, answered from the program manual, without pulling the program manager off intake.

Private chats work on any device with a login — the how-to knowledge follows the volunteer to the warehouse, the outreach van or the front desk. Unlimited users means everyone gets one.

A gift arrives: the acknowledgment letter is drafted within the hour, personal to the donor’s history, queued for the development director’s signature — not for the pile.

Funder deadlines and report dates drawn from your records trigger reminders and draft the required documents ahead of time — queued for review, never remembered too late.

The monthly board summary, the quarterly funder report, the volunteer-hours tally: compiled by the AI, filed to Output, on time every time.

Monthly givers, event attendees who never gave, donors lapsed 18 months: audiences built from your own categories and dates — no exporting the donor list to a third-party tool.

Updates written from your real program data — what her gift actually did — warm, specific, in your organization’s voice, in the donor’s language.

Opt-outs and contact preferences are enforced by the system, not by memory. Every send is on the record.

Donors, gifts and campaigns mapped field by field, with a dry-run preview before anything writes — push, pull or two-way, your choice.

Grant budgets, expense reports and program data route through the intake pipeline — so the funder report the AI drafts reconciles with the books.

A full API for whatever else the organization runs: volunteer platforms, event tools, case management — data in, results out, under scoped keys.

The server redacts what a role cannot see — the events volunteer sees the RSVP list, not the giving history; program staff see their program’s beneficiaries, not everyone’s.

A searchable log of every audited action, with configurable categories: who saw what record, who changed what, when — the accountability funders and boards ask about.

Your tenant is isolated — beneficiary and donor data never train outside models. Five-level workgroups map programs and chapters; the on-premises option is air-gap capable.

Ask the chat: “how do I set up a monthly donation?” — watch it answer, explain the options and offer the meeting, like your best development officer.

Ask: “how would you draft a grant application from our program history?” — it walks the workflow it would run in your tenant, grounded, cited, sign-off included.

The full demo loads a nonprofit tenant with sample records: grant drafts, stewardship sequences, impact reports — your world, working.