GoHighLevel Attention Request & Lead Qualification Workflow Configured an automated lead processi...GoHighLevel Attention Request & Lead Qualification Workflow Configured an automated lead processi...
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GoHighLevel Attention Request & Lead Qualification Workflow
Configured an automated lead processing workflow in GoHighLevel triggered by the "Attention request form" submission to streamline lead qualification and internal team routing.
Key Deliverables & Setup:
• Form Submission Trigger: Configured instant ingestion for incoming submissions on the Attention Request Form.
• Profile & Pipeline Sync: Automatically updates contact record details, assigns pipeline stages, and applies custom tracking tags.
• Task & Internal Alerts: Generates internal team notification alerts and task assignments for high-priority lead follow-ups.
Results & Impact:
• Eliminates delays in handling client request forms with instant automated processing.
• Improves lead tracking and ensures zero manual drop-off during the intake process.
Architected and deployed a full production B2B SaaS platform for restaurants, bars, and hospitality businesses with active daily operations and paying subscribers.
Key Engineering & Product Highlights:
• Integrated AI Operations Assistant: In-app conversational assistant powered by Google Gemini API, allowing restaurant managers to query sales velocity, stock anomalies, and daily operational metrics in real-time.
• Granular Inventory Engine: Real-time ingredient tracking down to the gram/milliliter linked directly to recipe consumption upon checkout.
• Real-Time Kitchen Sync: Bi-directional WebSocket events keeping order queues synchronized across multiple kitchen stations with zero page reloads.
• Multi-Branch & Multi-Tenant: Robust tenant data isolation, custom role-based permissions (Cashier, Waiter, Kitchen, Admin), and multi-location management.
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...
24-Hour AI Workflow Blueprint — From Business Problem to Practical AI Plan
I developed a practical workflow-review system designed to help small businesses identify where AI can genuinely save time — and, just as importantly, where human judgement should remain in control.
The process starts with a structured business questionnaire covering repetitive tasks, existing software, time-consuming processes, desired improvements and areas that should not be automated.
That information is then analysed to identify bottlenecks, quick wins and realistic opportunities for AI assistance. The resulting Blueprint provides prioritised recommendations, practical workflows, suggested tools and prompts, implementation steps, and clear human/AI boundaries.
I also built and tested the supporting intake and delivery workflow so the complete review can be produced within 24 hours of receiving the required information.
The objective isn't “AI everywhere”. It's less repetitive work, clearer processes and practical improvements that a business can actually use.
This workflow was developed and internally tested as part of a live 30-day commercial AI experiment. No invented client results or hypothetical savings are presented here.