Real example · Customer service & WhatsApp
Run a WhatsApp agent that matches community members with each other
What they did
OPUS, a community platform for early-stage founders, built two Make AI agents and about 49 workflows. One gathers member data from forms, call transcripts and voice notes; the other, called "operator", answers members on WhatsApp and makes introductions when both sides agree.
How it went
Self-reported: 24/7 service, personalized recommendations sent without being asked, and no third-party database. The "10x member experience" in the headline is not explained on the page.
Worth knowing
Vendor case study dated 28 April 2026 with no measured response or accuracy numbers; the team still collects member information in calls and check-ins and built every workflow itself.
Try it yourself with Make
Replace anything in [brackets] with your details.
Design a WhatsApp assistant for [community or business]. It should answer questions about [events, services or members] using only the profile data in [database or sheet], suggest up to three matches with a reason for each, and contact the other person to ask for consent before sharing any details. List the workflows you would build and the information you need from me.Read the original
OPUS boosts member experience 10x with Make AI Agents | Make ↗
make.com · · Vendor case study
Attributed to the source linked below; not our own test.
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