AI-powered treasury management system designed for DAOs and organizations Arbitrum Robinhood. By bridging on-chain transparency with off-chain AI intelligence, TG automates risk management, asset rebalancing, and operational payments, ensuring treasury health and sustainability without constant human intervention.
What if your DAO's treasury could predict a 32% drawdown 14 hours before your team wakes up and rebalance to tokens or stablecoins automatically with an AI agent that explains every decision all while keeping you in full control?
Treasury Guard Rail is an AI-powered sentinel that automates risk monitoring, asset rebalancing, and operational payments.
The process involved architecting a three-layer intelligence stack:
Smart contracts (ActionExecutor, PermissionManager) for on-chain rule enforcement,
Agent layer leveraging arbitrum network with a real-time risk engine with help of Robinhood
Deterministic LLMs for narrative reasoning
an automated scheduler running every 10 minutes enabling 30-minute volatility detection versus 14-hour manual checks.
a dashboard for real-time oversight and configuration that gives full auditability with transparent, human-readable AI justifications
automatic rebalancing proposals triggering at a set drop threshold with a pre-approved execution that saved capital during a simulated treasury crisis
Preserves human governance oversight through role-based controls, human in the loop with a frontend that never has access of your private keys doubles with MEV-resistant infrastructure.
Usage of rate limiting in the ai agents in production with on chain validation checks using an action executor