Hey Product Hunt! 👋 I'm Narendra, and I built Close Command after watching finance teams spend weeks every month reconciling intercompany transactions in Excel. The problem is real — 8 entities, 28 elimination rules, multiple currencies, NCI adjustments — all manually reconciled every single period. One wrong number means a restatement. What Close Command does differently: 🤖 7 AI agents orchestrated by LangGraph handle the full pipeline — from ingesting trial balances to producing the consolidated P&L and Balance Sheet ✋ Human-in-the-Loop gate — the pipeline pauses mid-run so controllers can review and approve every intercompany pair before any journal is posted 🧠 RAG memory via ChromaDB — every approved journal indexes automatically. Next period, the system surfaces similar historical exceptions as context for the matching agent 📊 Full audit trail — every reviewer decision is timestamped, exportable to Excel, and ready for external audit The live demo runs on Helios Chemicals Group — a synthetic 8-entity group with entities in UK, Germany, France, US, Singapore, Netherlands, Japan, and Australia. Happy to answer any questions about the tech stack (LangGraph, ChromaDB, Anthropic Claude) or the financial close problem this solves! Try it live 👉 https://finance-close-command-ce...

Finance Close Command Center

Agentic AI engine for Financial Close

Agentic AI engine for Financial Close