Make.com AI Receptionist Enhancement

I already have a [login to view URL] scenario taking inbound phone calls for Superbowl UK Basingstoke, but it needs polishing so the experience feels like a genuine receptionist rather than a bot. The goal is simple: whenever a caller asks about something, the AI should gracefully read out the relevant FAQ, explain any current offers, or—when appropriate—gently upsell by reminding them of everything they’ll get. The conversation must remain helpful, friendly and pressure-free. so the bot doesnt talk for too long and ramble, it liostens to the customer what they want what they are most intersted in etc Right after each call ends, the same [login to view URL] flow should fire off an SMS through Twilio (or the current gateway) that greets the caller by name and drops the direct booking link from our site: [login to view URL] (the “Book Now” section). Key deliverables • Refactor the existing [login to view URL] scenario so the voice agent can: – Pull FAQ content and offers – Detect caller intent and deliver the right answer concisely – Insert a polite, natural upsell when relevant • Configure post-call SMS: “Hi {name}, here’s the link you asked for…” including the exact booking URL and any promo code the caller discussed. (IF THIS IS POSSIBLE) • Provide clear documentation of your modules, variables and prompt engineering so I can tweak wording later. •try make it chill not too much, add your magic bro You are free to suggest improvements—better NLP prompts, fallback handling, or analytics inside [login to view URL]—so long as the caller experience stays seamless. If you’re fluent with [login to view URL], OpenAI and Twilio, this should be a quick yet satisfying upgrade.

Proje No: 40042068