Conversational AI Sales Assistant/2024/Technical Foundation
Agent-X
Autonomous conversational sales assistant architecture engineered to qualify inbound leads, schedule demos, and interface with CRM backends.
ARCHITECTURAL PROTOTYPE • AGENT-XSTATUS: TECHNICAL FOUNDATION
Engineering DisciplineConversational AI Sales Assistant
Implementation Year2024
Deployment StateTechnical Foundation
Technologies Employed
Next.jsTypeScriptFastAPIGemini APIVector Store
01 // The Problem & Operational Friction
What needed solving?
Inbound website visitors often bounce because static contact forms fail to provide immediate answers or qualify budget and timeline in real-time.
02 // The Architectural Solution
Our approach and design execution
Engineered an autonomous conversational agent capable of engaging visitors, answering service capabilities from indexed documentation, qualifying project budget, and capturing contact information directly into CRM tables.
03 // Key Functionality
Real-time streaming conversational interface
Context-aware qualification heuristics (budget, timeline, scope)
Automated lead handoff notification via WhatsApp and email webhook
CRM database schema synchronization
Configurable qualification criteria without code changes
04 // Technical Challenges & Tradeoffs
Enforcing deterministic fallback states when user inquiries fall outside predefined studio practice parameters.
My Contribution & Role
System Architecture, Prompt Engineering, API Integration & Full-Stack Prototyping.
Next Case Study
Build Something Similar?
Inquire Similar Scope