Case Study 02

FlowSight AI

Multi-agent AI consulting & workflow automation platform

May 2026
PythonLangGraphClaude APIHugging FaceChromaFastAPISupabasePostgreSQLNext.jsTailwindCSSLangSmith
Key impact
Automates end-to-end consulting — analysis, research, strategy, solution architecture, ROI modeling, risk & governance, executive reporting — via a 7-agent LangGraph pipeline.
flowsight.ai/dashboard
FlowSight AI — app screenshot
Product screenshot

What I did

4
  1. 01

    Automates end-to-end consulting — analysis, research, strategy, solution architecture, ROI modeling, risk & governance, executive reporting — via a 7-agent LangGraph pipeline.

  2. 02

    Grounds every recommendation in the client's own policies through cited RAG (Hugging Face Qwen3 embeddings + Chroma), producing audit-ready, traceable deliverables.

  3. 03

    Cut analysis turnaround ~60% (5+ min → ~2 min) with cost-optimized model tiering (Claude Haiku for analytics, Sonnet for synthesis).

  4. 04

    50+ test suite with dependency-injected fakes for zero-cost, key-free CI; LangSmith tracing + evaluation for quality.

Tech stack

PythonLangGraphClaude APIHugging FaceChromaFastAPISupabasePostgreSQLNext.jsTailwindCSSLangSmith