Case Study

AI Sales Intelligence Platform

How we built Quiet Engine's QE RADAR OS — a multi-agent sales intelligence platform that helps B2B teams 3x their pipeline without 3x their headcount

Client: Quiet EnginePrecision inside. Impact outside.

Project Overview

Industry

B2B Sales Technology

Market

Southeast Asia (SG, MY, ID, TH, PH, VN)

Entity

Quiet Engine Pte. Ltd. (Singapore)

Focus

AI-Powered Sales Intelligence & Engagement

Technologies & Integrations

Next.js / ReactOpenAI APIGoogle CloudNVIDIA InceptionDISC FrameworkOCEAN/Big FiveWhatsApp Business APILinkedIn IntegrationStripe Billing

The Challenge

B2B sales teams across Southeast Asia were trapped in a broken sales stack — more tools, less selling. Reps spent the majority of their time on research, data entry, and manual prospecting instead of building relationships and closing deals:

  • ×B2B sales reps spending 80% of time on research and only 20% selling
  • ×Enterprise sales intelligence tools priced out of reach for SE Asian SMBs
  • ×Generic outreach templates producing low response rates across email, LinkedIn, and WhatsApp
  • ×No unified platform combining intent signals, personality intelligence, and multi-channel execution
  • ×Manual buying committee mapping and contact enrichment consuming hours per account
  • ×Existing tools designed for US/EU markets with no native WhatsApp Business API integration for SE Asia

Revenue leaders needed to 3x their pipeline but couldn't 3x their headcount. The market needed an intelligence layer — not another execution tool — that empowers reps rather than replaces them.

Squadron AI Agents

We built a multi-agent AI system called Squadron — six specialized agents that handle all sales research autonomously so reps can focus entirely on relationships:

SCOUT — Prospect Hunter

Discovers target accounts matching the ideal customer profile and fills contact gaps across the buying committee

Radar — Intent Engine

Monitors buying signals 24/7, scores intent 0-100 across Fit, Intent, and Timing dimensions with Heat & Decay Rules

Persona Agent — Personalization Engine

Analyzes buyer personality using DISC framework to generate hyper-personalized scripts and outreach strategies

ACE — Priority Advisor

Recommends which accounts to contact first, generates daily task lists based on signal strength and deal stage

RELAY — Follow-up Assistant

Smart reminders and automated follow-up scheduling to prevent lead decay and missed opportunities

KEEPER — Inbox Guardian

Inbound triage and routing — automatically categorizes and routes incoming messages to the right rep

Intelligence Outputs

Mission Brief

Pre-Call Intelligence

Comprehensive dossier per account: company overview, pain points, talking points, Angle Cards for positioning, and Threat Matrix for objection handling

Coverage Map

Buying Committee

Visual dashboard with Crew Chart (decision roster), Group Gauge (role completeness scoring), and Trajectory tracking for deal progression

Blueprints

Personalized Outreach

Hyper-personalized templates across Email, LinkedIn, WhatsApp, and Voice with configurable Voice Modes (Direct, Consultative)

Signal Mesh

Buying Signals

Real-time monitoring of buying intent signals — funding rounds, tech stack changes, website visits, hiring patterns, and leadership moves

TOWER

Mission Commander

Routes high-intent accounts to reps in real-time, coordinates Squadron agents, and orchestrates the entire sales workflow

Persona Compass

Standalone Tool

Free LinkedIn prospect intelligence tool at compass.quietengine.ai — DISC + OCEAN profiling, calibrated email scripts, and objection strategies

The Transformation

Before

  • Reps spending 80% of time on research, 20% selling
  • Multiple disconnected tools with no unified view
  • Generic outreach templates with low response rates
  • Manual buying committee mapping taking hours per account
  • No native WhatsApp integration for SE Asian markets
  • New reps taking months to ramp up to productivity

After

  • Squadron AI agents handle all research — reps spend 80% of time selling instead of researching
  • Seatless pricing model — unlimited team members on all plans
  • Persona Agent generates hyper-personalized scripts per buyer using DISC behavioral profiling
  • Unified Mission Control dashboard replacing multiple tool logins with a single command center
  • Automated Coverage Map visually tracks buying committee with role completeness scoring
  • Native WhatsApp Business API integration via WIRE for Southeast Asian market needs

Results & Impact

3x
Pipeline growth potential
Without adding headcount
80%
Time selling vs researching
Flipped from 20% to 80%
50%
Faster rep ramp-up
AI-powered onboarding

Final Outcome

Quiet Engine's QE RADAR OS launched as a purpose-built sales intelligence platform for Southeast Asian B2B teams. With six Squadron AI agents handling research autonomously, multi-channel execution across Email, LinkedIn, WhatsApp, and Voice, and seatless pricing that makes enterprise-grade intelligence accessible — the platform positions itself as the intelligence layer between data sources and execution tools that the region's sales teams have been missing.

The 9-Step Sales Workflow

Discovery Layer

  1. 1. Signals — buyer intent monitoring
  2. 2. Coverage — buying committee mapping
  3. 3. Briefing — pre-call intelligence

Engagement Layer

  1. 4. Content — personalized messaging
  2. 5. Orchestration — multi-channel sequences
  3. 6. Community — relationship nurturing

Revenue Layer

  1. 7. Trust — coordinated follow-up
  2. 8. Outcomes — meetings & opportunities
  3. 9. Learning — insights for refinement

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