Client Architecture Brief · Voice AI Platform

Voice-first AI sales platform for enterprise dealer engagement.

An agentic AI system that decides whom to call, what scheme to pitch, how to handle objections, and how to convert every dealer conversation into a structured order — not a chatbot.

9
Indian Languages
10
Platform Modules
2
Enterprise Integrations
10+
AI Tool Endpoints
Technical Complexity

Three hard problems, solved simultaneously.

A dealer conversation can move from scheme explanation to objection handling to order capture within the same call. The system must stay natural while producing reliable structured data.

Challenge 01

Real-Time Multilingual Voice

Natural conversation in noisy, multilingual phone-call conditions across 9 Indian languages with IVR handling, interruption tolerance, and sub-200 ms response latency.

Challenge 02

Business-Correct AI Reasoning

Dynamic reasoning over dealer profiles, scheme eligibility, product catalogs, and order rules — all within a live voice call while maintaining sales-appropriate tonality.

Challenge 03

Structured Extraction from Speech

Reliable transformation of free-form dealer speech into structured intent, objection classification, and fully validated order data ready for Salesforce submission.

Challenge 04

Enterprise-Grade Traceability

Auditable records for every recommendation, captured intent, order draft, and submitted transaction — required for Salesforce and MCC/Oracle compliance workflows.

Platform Architecture

Eight integrated layers.

From campaign creation to governance, every component is purpose-built for enterprise dealer sales workflows.

📋

Business Control Plane

Campaign Manager Console, Campaign Orchestrator, Management Dashboards

🎙️

Real-Time Voice Layer

Telephony Gateway (LiveKit/SIP/PSTN), STT + Language Detection, TTS Voice Response

🧠

Agentic AI Brain

LLM Orchestrator, Conversation Policy Engine, Tonality Controller, Dealer Memory, Tool Router

📊

Dealer + Scheme Intelligence

Dealer Profile Store, Scheme Engine, RAG Knowledge Layer, Product Catalog

📦

Order Capture Workflow

Structured Order Draft, Validation Engine, Dealer Confirmation Loop

🔗

Enterprise Integrations

Salesforce (order punching + dealer details), MCC/Oracle (master data + backend sync)

🔒

Governance + Learning Loop

Audit Store, Analytics Event Stream, Feedback Loop for prompt and rule improvement

🔮

Future Extension Hooks

Salesforce Case Management, Live Agent Transfer, Colloquial Tuning, Follow-Up Engine

MVP Success Criteria

Eight measurable outcomes.

Every criterion is binary and testable before launch.

Business users can launch a campaign for a selected dealer segment.

The agent places outbound calls in all supported Indian languages.

The agent explains relevant schemes based on dealer profile and eligibility.

The agent handles common objections within the approved business context.

The agent captures and confirms order details from natural speech.

Validated orders are staged or submitted to Salesforce.

Dashboards show call outcomes, order conversion, and campaign effectiveness.

Every conversation has an auditable transcript and structured outcome.