You will get an AI WhatsApp lead qualification and routing system in n8n

Project details
If your team handles inbound WhatsApp leads manually, slow qualification and inconsistent routing can quickly turn into missed opportunities.
Qualyra Flow is an AI WhatsApp lead qualification and routing system built to capture inbound leads, structure the input, analyze the conversation, assign priority, and send each lead to the right next step.
This project helps you:
• capture inbound WhatsApp leads in a structured way
• qualify conversations with AI
• detect urgency and routing logic
• generate reply-ready output
• prepare CRM-ready lead data for handoff or follow-up
Qualyra Flow is a strong fit for sales teams, service businesses, and operations workflows that need faster first response, better lead organization, and cleaner routing before human follow-up.
The system can be delivered as a clean n8n workflow package, with optional CRM or Google Sheets integration based on your setup. Self-hosted deployment can also be included when required.
Qualyra Flow is an AI WhatsApp lead qualification and routing system built to capture inbound leads, structure the input, analyze the conversation, assign priority, and send each lead to the right next step.
This project helps you:
• capture inbound WhatsApp leads in a structured way
• qualify conversations with AI
• detect urgency and routing logic
• generate reply-ready output
• prepare CRM-ready lead data for handoff or follow-up
Qualyra Flow is a strong fit for sales teams, service businesses, and operations workflows that need faster first response, better lead organization, and cleaner routing before human follow-up.
The system can be delivered as a clean n8n workflow package, with optional CRM or Google Sheets integration based on your setup. Self-hosted deployment can also be included when required.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
GPT-4What's included
| Service Tiers |
Starter
$147
|
Standard
$297
|
Advanced
$497
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$25
1. CRM / Google Sheets Integration
(+ 1 Day)
+$87
2. Custom Lead Routing Logic
(+ 1 Day)
+$67
3. 7-Day Stability & Handover Support
+$77Frequently asked questions
About Thiago
AI Agent Developer | LangGraph, LangChain, APIs & n8n
Porto Alegre, Brazil - 3:37 pm local time
I help businesses create AI-powered systems that connect language models, APIs, automations, data, external tools, and real workflows. My work is focused on building systems that can receive information, understand context, classify requests, apply logic, trigger tools, structure data, and deliver useful outputs to people, platforms, or business systems.
My current stack includes Python, LangGraph, LangChain, LangSmith, Langflow, APIs, webhooks, Docker, n8n, OpenAI/Groq, VPS infrastructure, reverse proxy, SSL, and self-hosted environments.
I use n8n as part of my stack for orchestration and integration, but my work is not limited to basic workflows. I combine n8n with agent frameworks, Python logic, structured JSON outputs, API integrations, observability, and self-hosted infrastructure to build AI systems that are organized, traceable, and easier to maintain.
I can help with:
- AI agents for business operations, support, triage, and routing
- LangGraph and LangChain agent workflows
- n8n automation and workflow orchestration
- API, webhook, CRM, WhatsApp, and Telegram integrations
- Structured JSON outputs and tool-calling logic
- LangSmith observability and LLM tracing
- Self-hosted AI automation environments with Docker, VPS, SSL, and reverse proxy
- Input validation, security layers, monitoring, and operational safeguards
One of my main portfolio projects is Sentrya Ops V2, an Agentic AI Operations Desk designed with multi-LLM routing, security, observability, Telegram Admin Console, dashboard monitoring, and integration with external tools.
My goal is to build AI systems that are functional, secure, well-structured, and useful in real business scenarios — not just isolated prompts, disconnected automations, or short-lived prototypes.
I work best with clients who need a reliable technical partner to design, connect, and structure AI systems that can support real operations.
Steps for completing your project
After purchasing the project, send requirements so Thiago can start the project.
Delivery time starts when Thiago receives requirements from you.
Thiago works on your project following the steps below.
Revisions may occur after the delivery date.
Business Alignment & Lead Input Setup
After purchase, I review your business context, lead source, qualification rules, reply expectations, and output requirements so the system reflects your real inbound process.
AI Qualification Workflow & Routing Logic
I build the n8n workflow for lead intake, input normalization, AI qualification, priority detection, routing logic, and reply-ready or CRM-ready output based on your selected package.


