Business Process Automation

Production-ready RPA scripts, workflow automation, and API orchestration for enterprise business processes

Workflow Automation Engine

Build a custom workflow automation engine with parallel execution, conditional logic, and error handling.

// Business Workflow Automation Engine
type TaskStatus = 'pending' | 'running' | 'completed' | 'failed';

interface Task {
  id: string;
  name: string;
  type: 'api' | 'email' | 'database' | 'approval' | 'custom';
  config: any;
  dependencies?: string[];
  retryPolicy?: RetryPolicy;
  timeout?: number;
}

interface RetryPolicy {
  maxRetries: number;
  backoffMultiplier: number;
  initialDelay: number;
}

class WorkflowEngine {
  private tasks: Map<string, Task> = new Map();
  private taskStatus: Map<string, TaskStatus> = new Map();
  private taskResults: Map<string, any> = new Map();
  
  async execute(workflow: Task[]): Promise<Map<string, any>> {
    workflow.forEach(task => this.tasks.set(task.id, task));
    
    const executionOrder = this.resolveExecutionOrder(workflow);
    
    for (const taskId of executionOrder) {
      await this.executeTask(taskId);
    }
    
    return this.taskResults;
  }
  
  private async executeTask(taskId: string): Promise<void> {
    const task = this.tasks.get(taskId)!;
    
    this.taskStatus.set(taskId, 'running');
    
    try {
      const result = await this.executeWithRetry(task);
      this.taskResults.set(taskId, result);
      this.taskStatus.set(taskId, 'completed');
    } catch (error) {
      this.taskStatus.set(taskId, 'failed');
      throw error;
    }
  }
}

Invoice Processing Automation

Automated invoice extraction, validation, and approval workflow using OCR and AI.

# Invoice Processing with OCR and AI
import pytesseract
from PIL import Image
import re
from dataclasses import dataclass

@dataclass
class Invoice:
    invoice_number: str
    date: str
    vendor: str
    total_amount: float
    line_items: list

class InvoiceProcessor:
    def process_invoice(self, image_path: str) -> Invoice:
        text = pytesseract.image_to_string(Image.open(image_path))
        return self.extract_invoice_data(text)
    
    def extract_invoice_data(self, text: str) -> Invoice:
        invoice_num = re.search(r'Invoice #?:?\s*(\d+)', text)
        return Invoice(
            invoice_number=invoice_num.group(1) if invoice_num else '',
            date='',
            vendor='',
            total_amount=0.0,
            line_items=[]
        )

More Business Automation Topics

Document Processing Automation
Email Automation and Routing
Data Entry Automation
Report Generation
CRM Integration Automation
HR Onboarding Workflows
Contract Management Automation
Compliance Monitoring

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