From your WordPress database. Most teams build an alumni_profile custom post type with class year, degree, location, prior gifts, and event attendance as postmeta. If you also maintain a separate CRM, you can sync the slim fields you need into WordPress for the bot to read. Authoritative records can remain in the CRM.

Yes. Returning alumni are recognised by their account or by an opted-in email match, and the bot picks up where the last conversation ended. If the alum mentioned a planned visit or a giving intent last time, the bot can surface that to the development officer who follows up, with the alum's permission.

By prior gifts and likely capacity. A first-time donor at 25 EUR gets a small ladder ask. A repeat donor at 250 EUR gets routed into a giving-circle conversation. A clear major-gift prospect is handed off to a real person, with a clean transcript and a recommended ask area attached, so the meeting opens warm instead of cold.

Yes. Events are stored as posts and the bot reads them with the rules you set for visibility per cohort. RSVP and ticket purchase happen in the chat using a payment provider you wire up. Guest limits, donor perks, and accessibility requests are captured on the booking record for the events team.

Alumni data stays in your WordPress database. You set retention and consent rules for each field. The bot only mentions classmates' names when those classmates have opted in to a public list. NDA and consent acceptance can be logged on the profile and surfaced in the chat where useful, keeping you aligned with FERPA, GDPR, or your local equivalent.

Yes. SleekAI multibot lets you scope a bot by school, programme, or campus. The medical alumni bot can speak the right vocabulary and prioritise hospital partnerships; the business school bot can do the same for executive education. All of them feed back into the same WordPress install for unified reporting.

Yes. The bot replies in the alum's preferred language, even if your content lives only in English. For diaspora-heavy programmes you can also localise the prompts so the tone fits each region. Conversation logs keep both languages so the engagement team can spot signals in either thread.

Standard alumni metrics improve in measurable ways: response rate on broadcasts that mention 'open a chat for personalised options', RSVPs per cohort, average gift per session, and major-gift conversations identified by the bot for handoff. The conversation log itself is a research source, surfacing what alumni actually want to hear about each year.