This is a submission for the AI Agents Challenge powered by n8n and Bright Data
What I Built
I created a Smart Data Sync Agent that automates real-time data integration between on-premises systems and cloud services using Azure Integration Services, n8n, and Bright Data. This agent solves the problem of fragmented enterprise data by securely bridging legacy systems with modern cloud workflows—without manual intervention.
Key capabilities:
Monitors on-prem SQL Server for new entries via Azure Data Gateway
Uses n8n to orchestrate workflows and trigger actions
Enriches data using Bright Data’s Verified Node (e.g., company info, market data)
Publishes results to cloud apps like SharePoint, Teams, or Power BI
Demo
Demo Video on YouTube
neon Workflow
View Workflow JSON on GitHub Gist
Technical Implementation
System Instructions
The agent is configured to:
Poll on-prem data using Azure Logic Apps and Data Gateway
Trigger n8n workflows for transformation and enrichment
Use Bright Data to fetch verified external data
Output results to cloud dashboards or messaging platforms
Model Choice
n8n handles orchestration and logic
Azure handles secure data access and messaging
Bright Data provides real-time verified data enrichment
Memory
Stateless design with contextual memory via n8n’s built-in data store
Temporary caching for deduplication and retry logic
Tools Used
Azure Integration Services: Logic Apps, Service Bus, Data Gateway
n8n: Workflow automation and orchestration
Bright Data Verified Node: External data enrichment
Power BI / SharePoint / Teams: Output destinations
Bright Data Verified Node
I used Bright Data’s Verified Node to:
Enrich company records with verified business info
Validate contact details before syncing to CRM
Pull market trends for financial dashboards
This added a layer of intelligence and trust to the data pipeline, making the agent useful for sales, finance, and operations teams.
Journey
This challenge pushed me to explore hybrid integration scenarios and real-time data enrichment. Key milestones:
Setting up Azure Data Gateway for secure on-prem access
Designing modular n8n workflows with error handling
Integrating Bright Data for verified external insights
Testing across multiple cloud endpoints
Challenges overcome:
Handling intermittent connectivity with retry logic
Mapping legacy data formats to modern APIs
Ensuring security and compliance in hybrid workflows
What I learned:
The power of combining low-code tools like n8n with enterprise-grade services
How Bright Data can elevate the quality of AI-driven decisions
That hybrid integration is not just possible—it’s scalable and elegant
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