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ai-crm-agents

ai-crm-agents

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About ai-crm-agents

Production-ready AI-powered CRM with 6 autonomous agents for lead qualification, email intelligence, sales pipeline, customer success, meeting scheduling, and analytics

Platforms

Web Self-hosted

Languages

Python

Links

๐Ÿค– AI-Powered CRM with Agentic Workflows

Production-ready CRM system powered by multi-agent AI architecture

๐ŸŽฏ Overview

An intelligent CRM system that uses autonomous AI agents to handle customer relationship workflows automatically. Each agent specializes in specific tasks and collaborates to provide a seamless customer experience.

๐Ÿ—๏ธ Architecture

6 Autonomous Agents

  1. Lead Qualification Agent ๐ŸŽฏ

    • Scores incoming leads automatically
    • Routes high-value prospects to sales
    • Enriches contact data from public sources
    • Identifies buying signals
  2. Email Intelligence Agent ๐Ÿ“ง

    • Drafts personalized responses
    • Sentiment analysis on customer emails
    • Auto-categorization and prioritization
    • Smart follow-up suggestions
  3. Sales Pipeline Agent ๐Ÿ’ฐ

    • Tracks deal progress
    • Predicts close probability
    • Identifies stalled deals
    • Recommends next actions
  4. Customer Success Agent ๐ŸŽ‰

    • Monitors customer health scores
    • Detects churn risk
    • Triggers retention workflows
    • Upsell/cross-sell opportunities
  5. Meeting Scheduler Agent ๐Ÿ“…

    • Smart calendar management
    • Context-aware scheduling
    • Automatic meeting prep
    • Follow-up task creation
  6. Analytics Agent ๐Ÿ“Š

    • Real-time dashboards
    • Predictive analytics
    • Performance insights
    • Custom reports

๐Ÿš€ Features

Core CRM

  • Contact & company management
  • Deal pipeline tracking
  • Task & activity logging
  • Email integration
  • Calendar sync

AI-Powered

  • Automatic lead scoring
  • Intelligent email responses
  • Sentiment analysis
  • Churn prediction
  • Sales forecasting
  • Smart notifications

Agentic Workflows

  • Autonomous lead nurturing
  • Auto-follow-up sequences
  • Deal health monitoring
  • Customer success automation
  • Meeting coordination
  • Data enrichment

๐Ÿ› ๏ธ Tech Stack

Backend:

  • Python + FastAPI
  • PostgreSQL database
  • Redis for caching
  • Celery for async tasks

AI/ML:

  • LangChain for agent orchestration
  • Claude/GPT-4 for intelligence
  • Vector DB for context storage
  • Sentiment analysis models

Frontend:

  • React + TypeScript
  • TailwindCSS
  • Real-time updates (WebSocket)
  • Charts & analytics

Integrations:

  • Gmail/Outlook API
  • Google Calendar
  • LinkedIn enrichment
  • Slack notifications
  • Zapier webhooks

๐Ÿ“‹ Agent Workflows

Lead Qualification Flow

New Lead โ†’ Data Enrichment โ†’ Scoring โ†’ Routing โ†’ Auto-Email โ†’ CRM Entry

Email Intelligence Flow

Incoming Email โ†’ Sentiment Analysis โ†’ Categorization โ†’ Draft Response โ†’ Human Review

Deal Management Flow

Deal Created โ†’ Health Monitoring โ†’ Risk Detection โ†’ Action Recommendations โ†’ Auto-Followup

Customer Success Flow

Customer Activity โ†’ Health Score โ†’ Churn Risk โ†’ Retention Trigger โ†’ Success Team Alert

๐ŸŽจ UI Components

  • Dashboard - Real-time metrics & agent activity
  • Contacts - Enriched contact profiles
  • Deals - Visual pipeline with AI insights
  • Inbox - Smart email management
  • Calendar - AI-scheduled meetings
  • Analytics - Predictive insights
  • Settings - Agent configuration

๐Ÿ“Š Key Metrics

  • Lead-to-customer conversion rate
  • Average deal cycle time
  • Customer lifetime value
  • Churn prediction accuracy
  • Email response time
  • Agent automation rate
  • Revenue forecast accuracy

๐Ÿ” Security

  • End-to-end encryption
  • Role-based access control
  • API authentication (JWT)
  • Audit logging
  • Data privacy compliance (GDPR)

๐Ÿš€ Quick Start

# Install dependencies
pip install -r requirements.txt

# Setup database
python setup_db.py

# Run migrations
alembic upgrade head

# Start backend
uvicorn main:app --reload

# Start agent workers
celery -A agents.worker worker --loglevel=info

# Start frontend
cd frontend && npm start

๐Ÿ”„ Agent Communication

Agents communicate via:

  • Message Queue (RabbitMQ/Redis)
  • Shared State (Redis)
  • Event Bus (pub/sub)
  • API Calls (RESTful)

๐Ÿ“ˆ Scaling

  • Horizontal scaling with Docker/Kubernetes
  • Load balancing for API
  • Database read replicas
  • Async task distribution
  • CDN for static assets

๐ŸŽฏ Use Cases

  1. SaaS Companies - Automate customer onboarding
  2. Sales Teams - Intelligent lead qualification
  3. Customer Success - Proactive churn prevention
  4. Account Executives - Smart deal tracking
  5. Marketing - Lead nurturing automation

๐Ÿ”ฎ Future Features

  • [ ] Voice AI for calls
  • [ ] WhatsApp integration
  • [ ] Advanced forecasting
  • [ ] Multi-language support
  • [ ] Mobile app (React Native)
  • [ ] Custom agent builder (no-code)

Built with โค๏ธ for modern sales teams

License: MIT Status: ๐Ÿšง In Development Last Updated: 2025-10-09