Credit Risk AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent System
BOFU: Production LangGraph with Router → Risk Specialists → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls credit risk tools via Model Context Protocol - see real execution
Automation Task
User query → LLM decides tool (get_credit_report) → Executes Experian API → Returns formatted analysis
Terminal ready. Run simulation to begin.
RAG-Based Search
MOFU: Search 10,000+ credit histories with vector similarity
Search Query
"Search Similar Thin File Cases"
Embed query → Search 10,000 vectors → Retrieve top 5 similar cases → Generate risk insights
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool Orchestration
MOFU: Multiple risk tools working together automatically
ROI Analysis
Orchestrator calls: Credit Monitor (50K accounts) → Fraud Scanner (50K accounts) → Income Verifier (50K accounts) → Delinquency Predictor (50K accounts) → Report Generator → Alert Tool (high-priority only)
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production Credit Risk 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. FCRA compliant, SOC 2 certified, 10x throughput, 71% cost reduction.
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