Client
Kaizen Club
Selected work / Kaizen Club
AI infrastructure for a three-day business summit in Abu Dhabi — one Telegram Mini-App from the first ticket click to materials after.

Client
Kaizen Club
Platform
Telegram Mini-App
Build window
7 weeks
Kaizen Club
AI infrastructure for the summit in Abu Dhabi: sales, entry, schedule, networking, AI business diagnostic, and AI avatars — all inside one Telegram Mini-App.
The summit was positioned as the first AI-powered one. That means AI in every touchpoint, not one robot on stage. A premium audience notices the gap between promise and reality first.
Mini-app, bot, QR access, Kai Tinder, AI diagnostic with PDF, live avatars, AI talk recaps, and a custom admin panel — all running for three days across 200+ attendees.
Case study
AI infrastructure for a three-day business summit hosted by <em>Margulan Seissembai</em> in Abu Dhabi — the flagship event of his Kaizen Club. <em>One Telegram Mini-App: from the first click on a ticket to the materials after.</em> Not a chatbot and not a single stage moment — the layer the whole event lives on: sales, entry, program, networking, diagnostics, AI avatars. Seven weeks to build. The venue date did not move.
Problem
The summit was positioned as the first AI-powered one: AI in every touchpoint, not one robot on stage. A premium audience notices the gap between the promise and what actually opens on the phone first. One team had to close the sales bot, the mini-app with entry and schedule, voice AI avatars, the business diagnostic, seating, and post-event materials. Seven weeks. Venue date fixed.
Solution
We folded everything into one Telegram Mini-App: one account, one database, one admin panel. The build follows the attendee journey, each stage with its own feature set. A few decisions went into the final beyond the brief: the schedule moved onto the home screen, a shared AI generation feed replaced private video invites, and Face ID at entry was replaced with a personal QR — faster and more stable under peak load.
Technical work
Four independent AI providers run inside one app: HeyGen for avatars, ElevenLabs for voice, separate LLMs for the conversational agents, and another LLM chain for the diagnostic. The user sees one interface — we built a thin product layer over several APIs with different limits and response formats. The AI diagnostic is a strict methodology — the AI Maturity Index: six dimensions of company AI maturity, a 1–5 scale on each, and a PDF report with interpretation.
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