Built a full lead management automation for a business landing page.
The workflow:
→ Contact form submission triggers the flow
→ Lead data saved to Google Sheets instantly
→ Telegram notification sent to the owner
→ Personalized email auto-reply to the lead
Zero manual work. Every lead captured and responded to in seconds, 24/7.
AI Lead Qualification & Appointment Automation System
AI Lead Conversion Platform — Telegram, CRM & Automated Scheduling
Designed and developed an AI-powered lead conversion system that handles incoming Telegram conversations from first contact to qualification, CRM synchronization, and appointment booking.
The AI works with conversation history, lead profile data, unanswered questions, current funnel stage, available actions, and verified CRM data to determine the next appropriate step and generate structured responses.
The system automatically creates and updates leads in the CRM, manages qualification stages, books meetings, generates Yandex Telemost links, sends reminders, handles rescheduling, and escalates exceptional cases to a human manager.
The architecture includes dialogue state management, message deduplication and batching, PostgreSQL persistence, concurrency protection, validation before actions are executed, and safeguards against sending unverified or prohibited information.
This is not just an AI chatbot — it is an automated sales workflow that connects Telegram, AI, CRM, scheduling, and human escalation into one controlled process.
AI makes decisions within controlled business rules instead of operating as an unrestricted chatbot.
The concurrency safeguards and validation-before-actions detail is a strong distinction here—booking systems usually fail at the edges, not in the happy path. I’d expose a compact lead state to the operator (stage, next action, last unanswered question) so a human can resume...
The industry standard for field service scheduling shows three to four technicians at a time, surrounded by completed appointments that are no longer relevant. Dispatchers spend their day mentally filtering noise just to see what is actually happening.
We designed a view where the full team's day is visible at once. All technicians, all AI-powered routes, who is running late, who has gaps, accessible from one place without opening a single individual profile. The view scrolls dynamically with time so completed appointments drop away and the focus stays on what still matters.
For a team of 150 technicians, the filter lets the dispatcher narrow to a specific group, region, or area in seconds. Tomorrow's schedule is already built before anyone starts work because the AI pre-builds routes based on recurring appointments.
If you run an agency or a B2B business, you know that finding qualified leads takes hours of manual work every single day. I had this exact problem, so I built an automated system to solve it.
I engineered an intent discovery pipeline using n8n and the DeepSeek API. It runs on a self-hosted VPS, pulls real-time data from platforms like Reddit and GitHub, scores the intent of every post using AI, and pings my phone with only the high-quality leads.
It completely eliminated manual prospecting for my own business.
I’m sharing the open-source repo with anyone who wants to see the code—just shoot me a DM.
But if you want a custom, fully integrated version of this built for your sales team without having to touch a single line of code, this is exactly what I do. I build robust n8n automations and AI agents that save hours of manual operations.