SB//Enterprise AI Systems
Back to Projects

Multi-Agent Financial Intelligence System

System Architecture

Enterprise-grade architecture for autonomous financial reasoning workflows, focusing on multi-agent orchestration, hybrid retrieval systems, and rigorous governance frameworks for grounded AI intelligence.

Logical Execution Path

01

Request Mediation

FastAPI Async Layer receives Analyst Query

02

Agent Orchestration

LangGraph Planner decomposes tasks & routes intent

03

Hybrid Retrieval

FAISS + BM25 + SQL Reranking Pipeline

04

Grounded Synthesis

LLM Layer generates evidence-backed response

05

Validation Layer

ISO 42001 alignment & Hallucination check

Governance & Guardrails

"Fail-safe behavior: All final responses shall be supported by retrieved evidence. Low-confidence outputs trigger human-in-the-loop review."

Grounding Check
Hallucination Risk
Citation Grounding
Audit Tracing

Architecture Principles

  • Grounded Output Priority
  • Separation of Concerns
  • Traceability & Lineage
  • Agentic Modularity
  • Fail-Safe Behavior
  • Retrieval-First Design
  • Policy Enforcement

Infrastructure

BackendFastAPI / Python
OrchestrationLangGraph / LangChain
MemoryRedis-backed Persistence
EvaluationRAGAS / LangSmith
InfrastructureDocker / Kubernetes
LLM InferenceOpenAI / Async Pipeline
SYSTEM STATUS: ACTIVEEnterprise AI Infrastructure Operational ✓