Approval Gates: How to Make AI Agents Safe for Real-World Operations

Approval Gates: How to Make AI Agents Safe for Real-World Operations AI agents with real-world tool access (email, phone, browser, payments) are powerful. They are also dangerous. Without guardrails, an agent can send emails to your customers, make purchases, or push code to production. Bridge ACE solves this with Approval Gates — a classification system that determines which actions an agent can take autonomously and which require human sign-off. How It Works Every tool in Bridge ACE is classified into one of three categories: AUTO — Execute Immediately Reading files, analyzing code, internal messaging between agents No risk of external impact Agent acts autonomously LOG — Execute and Record Web searches, research queries Low risk but worth tracking Agent acts, action is logged for audit REQUIRE_APPROVAL — Queue for Human Sending emails Making phone calls Posting on social media Making purchases Pushing code to production Any irreversible external action When an agent triggers a REQUI