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Enterprise Integration Patterns

What These Are: Common workflow patterns that solve real business problems. Use these as templates for your own integrations.

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Pattern 1: Customer Support Automation

Business Problem: Manual customer support is slow, inconsistent, and doesn’t scale. How This Workflow Solves It: Automatically analyzes customer messages, routes to appropriate systems, and provides instant responses. 
Customer Query → AI Classification → Route to Agent → Update CRM → Send Response
       ↓              ↓                  ↓             ↓           ↓
   WebSocket      WebSocket          WebSocket     WebSocket   WebSocket
What Each Step Does:
  1. Customer Query (Input Node): Receives customer message, email, priority
  2. AI Classification (Agent Node): AI analyzes sentiment, urgency, category
  3. Route to Agent (Conditional Node): Routes based on complexity/urgency
  4. Update CRM (API Node): Creates ticket in Salesforce/ServiceNow
  5. Send Response (API Node): Sends email/Slack notification to customer
Business Value:
  • Instant response to customers (not hours later)
  • Consistent categorization and routing
  • Automatic CRM updates
  • Escalation of urgent issues
Enterprise Result: 80% faster response time, improved customer satisfaction, reduced support team workload.

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Pattern 2: Data Processing Pipeline

Business Problem: Manual data validation and processing is error-prone and time-consuming. How This Workflow Solves It: Automated validation, AI-powered analysis, and quality control with human oversight. 
Data Input → Validation → AI Analysis → Quality Check → Export Results
     ↓          ↓            ↓             ↓              ↓
  Monitor    Monitor      Monitor       Monitor        Monitor
What Each Step Does:
  1. Data Input (Input Node): Receives CSV/JSON data files
  2. Validation (Agent Node): AI checks data quality, format, completeness
  3. AI Analysis (Agent Node): AI extracts insights, patterns, anomalies
  4. Quality Check (Conditional Node): Routes based on confidence score
  5. Export Results (API Node): Saves to database/sends to downstream systems
Business Value:
  • Automated data quality control
  • Consistent analysis methodology
  • Human review only when needed
  • Real-time processing status
Enterprise Result: 90% reduction in manual data review, consistent quality standards, faster time-to-insights.

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Pattern 3: Approval Workflow

Business Problem: Manual approval processes are bottlenecks that slow down business operations. How This Workflow Solves It: Automated content generation with human oversight only where required. 
Content Generation → Manager Review → Legal Review → Publish
       ↓                 ↓              ↓             ↓
    Auto              Human          Human         Auto
What Each Step Does:
  1. Content Generation (Agent Node): AI creates content based on templates/data
  2. Manager Review (Approval Node): Manager approves/rejects via email/Slack
  3. Legal Review (Approval Node): Legal team reviews for compliance
  4. Publish (API Node): Automatically publishes to website/sends to customers
Business Value:
  • Faster content creation
  • Consistent quality and tone
  • Proper approvals maintained
  • Audit trail for compliance
Enterprise Result: 70% faster content publishing, maintained quality control, full compliance tracking.