Lead processing system from WhatsApp with automation and transfer to the manager
We have a stream of incoming messages on WhatsApp from advertising (international traffic). The number of inquiries is quite large, and there is currently a need to optimize the process of handling them.
A solution needs to be implemented that will allow:
- to promptly respond to typical user inquiries
- to partially automate communication at the initial stage
- to correctly identify cases where a manager's involvement is needed
- to transfer such dialogues to a person without losing context
It is also important:
- for the manager to receive notifications or have a convenient interface to connect to the dialogue
- for the system to operate stably as the number of inquiries increases
- the possibility of scaling in the future
I expect from the performer:
- a proposal for the optimal solution for this request
- a description of the approach to implementation
- examples of similar cases (if any)
I am ready to discuss the details and answer questions.
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Hello, Mykyta!
The task is clear — AI agent for first line in WhatsApp: qualification, typical responses, transferring to the manager without losing context.
We are doing exactly that. Here is relevant experience:
→ AI assistant in messenger for sales funnel — 3,500+ dialogues, funnel conversion 96%, users cannot distinguish from a live person. The system operates autonomously 24/7, qualifies requests itself, and transfers "warm" clients to the manager.
I see your task as three modules: AI qualification → escalation logic → manager panel. Scalability is built in from the start.
…
For an accurate estimate, I need to understand:
— How many messages per day?
— What languages do the leads speak?
— What product are you selling?
— Is there already a WhatsApp Business API?
Ready to discuss. Maxim
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Hello! I am the project manager of Business Atlas. We specialize in complex automation where standard CRM functionality is not enough. In my experience, there are over 50 successful integrations. We work as a team and implement turnkey projects. The photos in the portfolio show our real architectures and lead processing scenarios.
My solution:
• AI filtering (GPT/Claude): Smart handling of typical inquiries and warming up international traffic in WhatsApp.
• Automatic qualification: AI identifies "hot" leads according to your script.
• Human Takeover: Instant transfer of the dialogue to a manager with a brief summary of the context.
• Stability: Working through the official API to protect against blocks during high volumes.
Evaluation:
• Cost: $1,000 – $1,500 (fixed per project).
• Timeline: 10–14 working days.
… • Support: 14 days of technical support.
I guarantee a system that scales with your traffic. Message me privately to discuss the details!
Similar completed project: Автоматизація масової публікації Reels/Shorts/TikTok з Google Drive через n8n + AI
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1315 7 0 Good day.
I am ready to take your project into work.
I can implement such a system for you using low-code tools.
Write to me privately, we will discuss all the details with you and choose the best solution for you.
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1682 2 0 Good day, Nikita.
For international traffic — only the official WhatsApp Business API (Meta Cloud API or Twilio), otherwise the account will be blocked. This is critical.
How I will implement it:
— WhatsApp: Meta WABA / Twilio — stable, scalable for any volume
— AI qualification: Claude API — responds to standard requests, recognizes when a manager is needed (function calling for precise routing)
— Dialogue transfer: the manager receives a notification + full context of the correspondence
— Manager interface: Telegram bot or web panel of choice
…
Question before starting: do you already have a verified WhatsApp Business account? If not — Meta verification will take 1-2 weeks, better to start in advance.
Ready to discuss the details.
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537 2 0 Good day! I have reviewed your request regarding WhatsApp automation for international traffic.
I am creating a solution based on Planfix — this is an operational system for business, where the AI assistant not only "responds in chat," but is part of your CRM. This allows eliminating the chaos of a "zoo" of separate services and ensures a seamless transfer of the client from the bot to the manager.
How we will implement your request:
AI filtering and first line: We will connect OpenAI directly to your WhatsApp through Planfix. The assistant will instantly respond to typical requests, removing 70-80% of routine tasks from the team.
Smart context transfer: When the AI understands that a human is needed (or the client requests an operator), it automatically creates a message for the manager. The main advantage: the manager sees the entire previous dialogue between the AI and the client in a convenient feed in Planfix and simply continues the conversation.
…
Notifications and interface: Managers receive instant push notifications (in the mobile app or desktop version). The AI can be configured to prepare a short summary of the client's request for the manager before connecting.
Stability and scalability: Since we use a direct connection Planfix ↔ OpenAI without unnecessary intermediaries, the system reliably withstands any increase in traffic. You can easily add new languages or new channels (Instagram, Telegram) without losing the overall logic.
Result: you get not just a bot, but a smart assistant that works 24/7, qualifies leads, and structures the work of your sales department.
I have experience implementing similar high-load cases. I am ready to discuss technical details and demonstrate the logic of the assistant's work in the system.
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726 9 1 Hello! I have carefully reviewed your project and am ready to start working. I guarantee quality and timely execution.
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1877 53 0 Hello! I am ready to complete your task, I have experience working with similar projects.
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339 1 0 Hello.
It is better not to create something from scratch, but to assemble a proper solution based on ready-made services with the integration of WhatsApp API. This will be more stable and easier to scale.
You can set up auto-responses to typical questions, basic logic (who is looking for what), and at the right moment, transfer the dialogue to a manager with context. Plus, create a convenient interface where the manager can see all dialogues and quickly connect.
I have done similar things — setting up chat logic, auto-responses, and transferring to managers.
In terms of time — about 5 days.
…
In terms of price — $180 (excluding services and API).
If that's okay, let's discuss what the current flow is and what typical questions are coming in — it's better to build the logic around that right away.
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278 5 1 1 Hello!
The task is clear — to build a pipeline for processing a large stream of WhatsApp leads from international traffic: AI responds to typical inquiries, complex cases are automatically escalated to a manager with the full context of the dialogue.
I have production experience with similar systems — I have built AI agents with GPT/Claude integration, dialogue state machines, context transfer between AI and humans, and integrations with messaging platforms.
How I plan to implement it:
1. WhatsApp integration: through the official WhatsApp Business API (Twilio, 360dialog, or Meta Cloud API depending on the volume). This is critical — for international traffic and scaling, official integration is needed, not gray solutions that get blocked.
2. AI layer for first contact: Claude or GPT-4 with a system prompt tailored to your specifics. Request classification: typical question → AI responds, complex case → escalation to the manager. Intent recognition through function calling, not just a generic chatbot.
… 3. Handoff to the manager: when AI determines that a human is needed — the dialogue automatically transitions to the CRM/Telegram/web interface of the manager with full context (message history, summary from AI, reason for escalation). The manager sees what was discussed and can immediately engage.
4. Architecture for scaling: task queue (Celery/Redis), asynchronous processing, ability for horizontal scaling when the flow increases.
5. Optionally: knowledge base (RAG) so that AI can answer questions about your products/terms from your documentation, rather than making things up.
A few questions for accurate estimation:
1. Estimated volume of inquiries per day/month? This determines the choice of WhatsApp API provider and architecture.
2. Where do managers currently connect — is there a CRM/Telegram, or does an interface need to be built from scratch?
3. What typical inquiries make up 80% of the flow? This is critical for designing AI logic.
4. How many languages need to be supported?
Approximately: $800–1400 for a basic MVP, 7–10 working days. More precise after responses. Ready for long-term support, scaling, and to discuss details.
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