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Cadence

Coordinated AI agents that score leads, qualify prospects, and execute personalized outreach — setting the rhythm of your revenue engine.

Azure AI Foundry
Python
FastAPI
Azure Database for PostgreSQL
Azure Cache for Redis
Celery
Salesforce API
HubSpot API
+45%
Lead Conversion
< 5 minutes
Response Time
3x faster
Pipeline Velocity
+60%
Revenue Impact

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Cadence · Agent Mesh

ORCHESTRATORMulti-Agent SystemsResearchACTIVEScoringNODE 02QualificationNODE 03OutreachNODE 04Follow-upNODE 0512345678
Step 1Instant

Lead Capture

Leads captured from website forms, events, referrals, and outbound campaigns. Enriched with firmographic data.

Form submissionsEvent attendeesReferral trackingData enrichment

Technical Design

Event-driven multi-agent system where specialized agents collaborate on lead qualification and outreach. Each agent operates autonomously while sharing context through a central orchestration layer.

System Components

Lead Ingestion Service

Multi-channel lead capture with deduplication and enrichment

Research Agent

Gathers prospect intelligence from public sources

Scoring Engine

ML-based lead scoring with configurable ICP criteria

Outreach Generator

Personalized content generation using RAG from sales playbooks

Follow-up Scheduler

Time-optimized outreach sequencing with engagement tracking

Data Flow

Lead Capture
Enrichment
Scoring
Qualification
Personalized Outreach
Engagement Tracking
Follow-up Optimization

Technology Choice

Azure AI Foundry + LangChain

Azure AI Foundry enables rapid prototyping with managed models. LangChain's agent framework simplifies multi-agent coordination and tool integration for CRM systems.

Alternatives Considered

AWS Bedrock + CrewAI, GCP Vertex AI + AutoGen

Core Frameworks

Azure AI Foundry

LLM management and fine-tuning

LangChain

Agent orchestration and tool integration

Celery

Async task processing for outreach sequences

FastAPI

Real-time API endpoints

Implementation Plan

Data Foundation

3 weeks
  • CRM integration
  • Lead enrichment pipeline
  • ICP definition

Intelligence Layer

5 weeks
  • Scoring models
  • Research agent
  • Qualification logic

Outreach Automation

4 weeks
  • Content generation
  • Sequence optimization
  • A/B testing framework

Optimization

3 weeks
  • Analytics dashboard
  • Model tuning
  • Performance monitoring

Key Milestones

CRM integration complete
Scoring model >80% accuracy
Outreach sequences generating replies
Revenue attribution working

Risk Mitigation

Gradual rollout by segment
Human approval for high-value leads
Fallback to manual sequences during model updates

Key Features

Lead Scoring

AI-powered lead scoring using firmographic data, behavioral signals, and engagement patterns. Prioritizes high-value prospects automatically.

Qualification Engine

Automated lead qualification based on custom ICP criteria, BANT framework, and predictive intent signals.

Personalized Outreach

Generate hyper-personalized email sequences, LinkedIn messages, and follow-ups using prospect data and company research.

Follow-up Automation

Intelligent follow-up sequences that adapt based on prospect engagement, response patterns, and optimal timing.

Pipeline Analytics

Real-time pipeline visibility with conversion metrics, bottleneck identification, and forecast accuracy.

CRM Integration

Seamless integration with Salesforce, HubSpot, and other CRMs for automatic data sync and activity logging.

How It Works

1

Lead Capture

Instant

Leads captured from website forms, events, referrals, and outbound campaigns. Enriched with firmographic data.

Form submissions
Event attendees
Referral tracking
Data enrichment
2

Research & Enrichment

< 2 minutes

AI gathers comprehensive prospect information including company details, recent news, and social signals.

Company research
Contact enrichment
Intent signals
Social monitoring
3

Lead Scoring

< 30 seconds

Prospects scored against ICP criteria with predictive conversion likelihood and priority ranking.

ICP matching
Engagement scoring
Predictive modeling
Priority assignment
4

Qualification

1-3 days

Automated qualification through personalized discovery questions and BANT assessment.

Discovery outreach
Response analysis
Qualification scoring
Handoff decision
5

Outreach Sequences

< 5 minutes

Personalized multi-channel outreach sequences crafted based on prospect research and engagement history.

Email personalization
LinkedIn messaging
Sequence creation
A/B variants
6

Engagement Tracking

Real-time

Real-time monitoring of prospect engagement across all channels with intelligent trigger-based actions.

Open tracking
Click analysis
Behavior monitoring
Trigger actions
7

Follow-up Execution

Automated

Adaptive follow-up sequences that evolve based on prospect behavior and optimal timing.

Timing optimization
Content adaptation
Channel switching
Escalation rules
8

Pipeline Analytics

Real-time

Comprehensive analytics on pipeline health, conversion rates, and revenue forecasting.

Conversion tracking
Revenue forecasting
Bottleneck analysis
Rep coaching

Multi-Agent Architecture

Research Agent

Gathers comprehensive prospect information from multiple sources including LinkedIn, company websites, and news.

  • Company research
  • Contact enrichment
  • Intent signals
  • News monitoring
  • Social listening

Scoring Agent

Scores and prioritizes leads based on ICP fit, engagement signals, and predictive conversion models.

  • Lead scoring
  • ICP matching
  • Predictive modeling
  • Priority ranking
  • A/B testing

Qualification Agent

Qualifies leads through automated discovery and BANT assessment before routing to sales reps.

  • Discovery questions
  • BANT assessment
  • Qualification scoring
  • Handoff preparation
  • Meeting scheduling

Outreach Agent

Crafts personalized multi-channel outreach sequences optimized for engagement and response.

  • Email personalization
  • LinkedIn messaging
  • Sequence optimization
  • A/B testing
  • Timing optimization

Follow-up Agent

Manages intelligent follow-up sequences that adapt based on prospect behavior and engagement.

  • Behavioral triggers
  • Timing optimization
  • Content adaptation
  • Escalation rules
  • Win-back sequences

Use Cases

Outbound Sales

Scale personalized outbound campaigns across email, LinkedIn, and phone with AI-driven prospecting.

Inbound Lead Management

Instantly qualify and route inbound leads based on fit, intent, and engagement signals.

Account-Based Marketing

Coordinate multi-stakeholder outreach across target accounts with personalized messaging.

Pipeline Management

Get real-time visibility into pipeline health with predictive forecasting and bottleneck alerts.

Sales Coaching

Identify rep coaching opportunities through conversation analysis and performance metrics.

Revenue Intelligence

Understand deal health, risk factors, and next best actions with AI-powered insights.

Interested in Cadence?

Get in touch to discuss how this solution can be tailored to your needs.