Data Governance AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent System
BOFU: Production LangGraph with Router → Specialized Agents → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls tools via Model Context Protocol - see real tool execution
Automation Task
User query → LLM decides tool → Executes → Returns result
Terminal ready. Run simulation to begin.
RAG-Based Search
MOFU: Search 100+ governance documents with vector similarity
Search Query
"GDPR Compliance Requirements Search"
Embed query → Search vectors → Retrieve chunks → Generate answer
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool Orchestration
MOFU: Multiple tools working together automatically
ROI Analysis
Orchestrator calls: Snowflake Scanner → Collibra Validator → dbt Lineage Tracer → Compliance Checker → Alert System (all parallel)
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production Data Governance System?
We'll build your custom system: MCP tools (TOFU) → RAG search (MOFU) → Multi-tool (MOFU) → Multi-agent (BOFU). From demos to deployment in 8 weeks. Monitor 10K+ tables, enforce 1,200+ compliance rules, generate automated reports.
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