Yes. SleekAI reads your impact-report pages, annual-report PDFs (when they're published as posts or pages), and any ACF-stored metrics. Program-spending ratio, dollars to direct service, meals delivered, families housed, hours of counselling provided, whatever you publish is what the bot quotes. The wizard lets you point the bot at the specific posts that hold these numbers, and the prompt includes them by default. Update the page each year and the bot reflects the new figures the moment the post saves.

The bot has the volunteer roles, time commitments, location requirements, and background-check rules from your volunteer page. When a visitor expresses interest, it captures name, contact info, availability windows, relevant skills or certifications, and the role they're interested in. The structured data lands in a custom post type for the volunteer coordinator, or routes through the JS API to whatever volunteer-management system you use (Sign Up Genius, Bloomerang, Givebutter, Track It Forward). Background-check and reference-check flows kick off from the existing system rather than the bot.

No, deliberately. The bot describes program eligibility criteria from your published pages so a prospective participant understands what's needed, but it does not screen applications or tell anyone they don't qualify. Every eligibility question routes to a real intake worker. This boundary matters because eligibility for housing assistance, food assistance, counselling vouchers, or scholarship funds involves nuance that a chatbot cannot judge correctly, and the cost of a wrong answer is someone walking away from help they actually qualify for.

It can answer factual questions about your planned-giving program from your published planned-giving page (gift annuities, charitable remainder trusts, IRA qualified charitable distributions, bequests, donor-advised fund grants), but for any real planned-giving conversation it routes to the development director or your gift-planning officer. The bot collects the donor's name, contact info, gift type they're interested in, and any specifics they're willing to share, then hands the conversation off with the context already captured.

Yes, the bot reads your matching-gift page and knows which platforms you're set up with (Double the Donation, Benevity, YourCause, Bright Funds, etc.). When a donor mentions an employer, the bot can confirm whether matching is available and point them to the right form or instructions. If you've integrated a matching-gift database, the bot can search by employer name and quote the matching ratio. If not, it routes uncertain matches to the development team for confirmation.

Yes. SleekAI is multibot. Most faith-based nonprofits run at least two: one tuned for donors and volunteers (warmer fundraising tone, emphasis on impact metrics, programs spending ratio, ways to help), and one tuned for program participants (calm, low-pressure, plain language, no fundraising tone at all). Display conditions route each visitor to the right bot based on which page they're on. The participant-facing bot lives on application pages, resource pages, and self-help pages. The donor-facing bot lives on the donate page, the volunteer page, and the about-us section.

It answers factual questions about your organization's stated mission and faith tradition from your about-us and statement-of-faith pages, because that's information a prospective donor or volunteer is entitled to. It does not engage in apologetics or doctrinal debate with visitors. If a visitor asks whether they have to share the organization's faith to receive services, the bot quotes your published non-discrimination policy verbatim. Most faith-based nonprofits explicitly serve regardless of faith, and that policy needs to come through clearly in the bot's answers.

Yours. SleekAI is bring-your-own-key for OpenAI, Anthropic, Google, or OpenRouter, and the model bills you directly with no per-message markup from SleekAI. For a mid-sized faith-based nonprofit the monthly model cost is usually $10 to $40 in actual API usage, depending on visitor volume. GPT-4o-mini and Gemini Flash are the typical low-cost picks. GPT-4o or Claude Sonnet for higher quality on donor-relations conversations where tone and care matter. The cost is small compared to one volunteer hour saved at the front desk.