Film-style poster for the Mentornity AI for Alumni Associations presentation

Mentornity AI forAlumni Associations Mentornity AI for Alumni Associations

How alumni association teams run an alumni mentoring network with Mentornity AI.

English

What this presentation covers

What is Mentornity AI

An assistant that runs your program

It handles matching, follow-up, communication and reporting for you; you approve each step.

Watches the program Applications, matches, meetings
Does the work Matches, e-mails, rules, reports, certificates
You approve One click; nothing changes without you

Where you find Mentornity AI

Mentornity AI inside your admin panel

Ask it in the side panel, or press a "with AI" button where you work.

Ask in your own words

It reads the live program and answers with numbers and charts.

"With AI" buttons where you work

Applications, quiet matches, health, reports and forms each have one.

Nothing runs until you send

A button opens a ready request; credits are used only when sent.

Write with AI in the editors

E-mails, posts, events and agreements get a draft you can insert.

Ask in your own words

It reads the live program and answers with numbers and charts.

"With AI" buttons where you work

Applications, quiet matches, health, reports and forms each have one.

Nothing runs until you send

A button opens a ready request; credits are used only when sent.

Write with AI in the editors

E-mails, posts, events and agreements get a draft you can insert.

Matching

Matched on department and sector

It proposes alumni from the same department or sector, then the same city.

Three alumni per mentee

Each proposal names the rules the alumnus meets.

Rules on careers, not only cities

It pairs target careers with the sectors alumni work in.

Three alumni per mentee

Each proposal names the rules the alumnus meets.

Rules on careers, not only cities

It pairs target careers with the sectors alumni work in.

Requests waiting

Requests that wait too long

It finds match requests waiting over seven days and drafts a kind e-mail.

Quiet matches

Mentees who have not met

Ask who has no meeting or has gone quiet, and get the names.

A list, not a count

Meetings held, booked and the last one for each mentee.

Quiet matches, most silent first

Days of silence, and a restart e-mail ready to approve.

A list, not a count

Meetings held, booked and the last one for each mentee.

Quiet matches, most silent first

Days of silence, and a restart e-mail ready to approve.

Thanking alumni

Thank alumni mentors with real numbers

A monthly post shows what the network achieved, without naming anyone.

Year end

Year end: certificates and a report

Certificates for mentors who qualify, and a report for the association’s board.

Certificates in one card

Everyone who meets the rule gets one, with an e-mail.

A report for the board

Pairs who met, meetings held and certificates, with charts.

Any report, explained

Open a report and press "Explain with AI" for its findings.

Certificates in one card

Everyone who meets the rule gets one, with an e-mail.

A report for the board

Pairs who met, meetings held and certificates, with charts.

Any report, explained

Open a report and press "Explain with AI" for its findings.

Mentor availability

Mentors without open hours, found and asked

It finds mentors without hours, asks them by e-mail and adds the hours they give.

Mentors who need more hours

Never added, nothing ahead or fully booked, each one listed.

Asks by e-mail, replies come back

Replies land in the chat; you get an e-mail and a badge.

Hours added for the mentor

The hours they give become cards; approved, they are published.

Mentors who need more hours

Never added, nothing ahead or fully booked, each one listed.

Asks by e-mail, replies come back

Replies land in the chat; you get an e-mail and a badge.

Hours added for the mentor

The hours they give become cards; approved, they are published.

Participants’ requests

Participants’ requests, solved together

Waiting support requests and replies to its e-mails sit in one box above the chat.

Scheduled tasks

Checks that run on a schedule

Up to five tasks per program; each run brings its proposals as cards.

A new program

Build the next program with AI

Answer a few questions; its assistant sets it up with one of seven mentoring playbooks.

Several programs

Several programs from one chat

On My programs the chat opens in a side panel, and you pick the programs.

Pick the programs to work on

It compares them; closed ones get no matches, bulk e-mails or invitations.

A shared announcement, one e-mail each

Someone in several programs gets every text in one e-mail.

Pick the programs to work on

It compares them; closed ones get no matches, bulk e-mails or invitations.

A shared announcement, one e-mail each

Someone in several programs gets every text in one e-mail.

Requests to try

Requests to start with

Type one in the side panel; it reads the data itself.

"Suggest an alumnus for each unmatched mentee." Match cards, each with its reasons
"Which match requests have waited over a week?" Alumni to thank and ask, with an e-mail
"Which mentees have not met their mentor?" Names, meetings and the last date
"Write a thank-you post with this year’s numbers." A post card, no names
"Prepare the yearly report for the board." Numbers, charts and two proposals

Advice

How to get good answers

A few habits make its proposals fit your program.

Fill in the program profile Goals, audience and tone shape every answer
Keep fundraising out of mentoring mail Messages about mentoring ask for nothing else
Invite past mentees to mentor Last year’s mentees are next year’s mentors
Start with one weekly check Add tasks one at a time, five at most
Approve or reject every card Nothing changes until you decide

Privacy and cost

Privacy, credits or your own key

The model sees aliases, and you pay with credits or your own Anthropic key.

Names stay with you

The model sees participants under aliases, never their contact details.

Credits or your own API key

With your Anthropic key, Anthropic bills you and no credit is used.

Names stay with you

The model sees participants under aliases, never their contact details.

Credits or your own API key

With your Anthropic key, Anthropic bills you and no credit is used.

Claude connector and MCP

Mentornity inside Claude for your participants

Mentors and mentees ask Claude in plain words; it books, plans and replies in Mentornity.

Claude, or any MCP assistant

They add the Mentornity connector and sign in with their usual account.

Meetings, hours and messages

Claude finds free slots, books, reschedules and drafts replies on request.

A preview before every change

Claude shows what will change; nothing happens until they say yes.

The program team decides

Claude sees only what the member sees; you can turn it off.