Tüm Otomasyon Arşivi
Automated Multi-Channel Business Intelligence Dashboard
Aggregates data from CRM, ERP, and social media, applies error handling and transformation, then uses AI for predictive insights. Outputs to a dashboard.
Client Financial Health Ecosystem
Aggregates multi-source financial data (QuickBooks, Plaid, Credit Karma), performs AI-driven analysis and anomaly detection, and sends automated alerts via Slack. Includes robust error handling and database storage.
Automated Global Incident Response System
This workflow integrates real-time monitoring via APIs for social media, news, and sensor data, uses AI for classification and prioritization, and orchestrates notifications across multiple channels with error handling.
Smart Asset Lifecycle Management Platform
Automates asset tracking, performance monitoring, and predictive maintenance scheduling through IoT integration. Uses n8n workflows for data transformation, error handling, and AI-driven insights with full traceability and notification systems.
Automated Financial Health Monitoring System
Aggregates financial data from accounting platforms, applies predictive analytics for cash flow forecasting, and sends alerts on anomalies. Includes error handling and data transformations.
Multi-Channel Customer Support with AI Sentiment Analysis
Automates ticket routing from email, chat, and social media using AI-driven sentiment analysis. Routes messages based on sentiment and channel, triggers intelligent auto-replies, escalates negative sentiment to human agents, and handles errors gracefully.
Automated Digital Twin Management System
Synchronizes real-time IoT data with predictive analytics to forecast equipment failures. Includes dynamic error handling, data transformation, and AI agents for continuous optimization.
Automated Legal Document Generation and Review System
A multi-step workflow that generates legal documents from templates, sends them for e-signature via DocuSign, performs AI-driven analysis, and stores results in Google Sheets. Includes error handling and data transformation.
Dynamic AI-Driven Supply Chain Visibility Platform
Automates monitoring of logistics performance and inventory levels across multiple vendors. Aggregates data, applies AI forecasting, detects anomalies, sends email alerts, and updates ERP systems in real-time.
Real-Time Cross-Platform Feedback Analysis & Response
Automates collection, sentiment analysis, and tailored follow-up actions for customer feedback from multiple survey tools and CRM systems. Uses AI to classify sentiment and triggers appropriate workflows (e.g., support ticket creation, thank-you emails).
Global Disaster Resource Allocation System
Automates the collection of real-time emergency data from multiple APIs, employs AI for severity assessment and geographic need analysis, and manages resource distribution with robust error handling and data transformation.
Real-Time Predictive Maintenance System
A comprehensive workflow that ingests IoT sensor data from machinery, uses AI-based failure prediction, sends automated alerts, creates maintenance tasks, and updates ERP systems for resource management.