Aethel AI — Autonomous Document Processing & WhatsApp Lead Agent
End-to-end AI automation engine extracting inbound leads, qualifying prospects, and syncing CRM workflows in real-time.
From inquiry arrival to CRM update and message dispatch
Grounded schemas with zero hallucinations
Sales representatives focus purely on qualified calls
The Problem & Challenges
Sales and operations teams were spending over 25 hours per week manually reading inbound inquiries, copying details into CRMs, qualifying budget constraints, and typing repetitive WhatsApp follow-ups.
Our Architectural Solution
Vevtek engineered an AI automation pipeline using LangGraph, structured LLM extraction, and the WhatsApp Cloud API. Inbound leads are parsed within 650ms, qualified against custom business logic, and automatically booked into calendar schedules.
Core Subsystem Architecture
LLM Semantic Entity Extractor
Structured Pydantic schema validation extracting names, contact information, timeline, and budget intent.
Deterministic Rule & Qualification Filter
Hybrid logic assigning hot, warm, or nurture tags before updating CRM records.
Event-Driven WhatsApp Dispatcher
Official WhatsApp Cloud API conversational agent responding to prospective clients within 15 seconds.
Shipped Deliverables
- Visual workflow orchestration canvas
- Semantic document & lead parsing engine
- WhatsApp conversational qualification bot
- Real-time execution log & telemetry monitor
- HubSpot / Custom CRM webhook integration
Technologies Deployed
“Vevtek showed us what real AI automation looks like. Our lead response speed went from hours to seconds, and our sales pipeline has never been cleaner.”
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