Enterprise AI · Enterprise Data Intelligence
Data2Decisions: Enterprise Data Intelligence Platform
Multi-agent text-to-insight platform built around a central orchestrator coordinating 10+ scoped sub-agents over 25+ structured connectors and a knowledge-graph layer.
- Role
- AI Engineer
- Built enterprise data intelligence platform with Neo4j integration.
- Industry
- Enterprise Data Intelligence
- Timeline
- Oct 2025 - Dec 2025
Business impact
- revenue impact
- USD 50M+
- engineering hours saved
- 1000+ annually
- sub agents
- 10+
- structured connectors
- 25+
- data sources unified
- Structured + Unstructured
Overview
Multi-agent text-to-insight platform built around a central orchestration agent that coordinates 10+ specialised sub-agents, each with its own scoped skills. Unifies unstructured sources (SharePoint, S3, Google Drive) with 25+ structured connectors (MySQL, Oracle, MongoDB) over a unified knowledge-graph layer that powers cross-source reasoning.
Data governance and access controls scope every sub-agent to its permitted domain, so a question only ever reaches the data its asker is entitled to. Delivered USD 50M+ revenue impact and 1000+ engineering hours saved annually.
Technical architecture
- Query Engine
- Natural language to SQL/file queries
- Knowledge Graph
- Neo4j for entity relationships
- Data Federation
- 20+ SQL connectors + file storage
- AI Layer
- LangChain, LangGraph with GPT 4o
Key features
- Multi Database Federation: 20+ SQL database connectors
- Query 5 10 databases simultaneously
- Unstructured File Intelligence with RAG
- Knowledge Graph Engine with Neo4j
- Spaces for department level access control
- File storage connectors: SharePoint, OneDrive, Google Drive, Azure Blob, AWS S3
Challenges solved
- Federating queries across diverse database types
- Building and maintaining knowledge graphs at scale
- Intelligent query routing based on context
Tech stack
- Azure AI Foundry
- Azure AI Search
- Neo4j
- Knowledge Graphs
- LangChain
- LangGraph
- RAG
- FastAPI
- GPT 4o
- Python