Implementing Visual Audit Trails for LLM Agents in Production — A Step-by-Step Guide

Implementing Visual Audit Trails for LLM Agents in Production — A Step-by-Step Guide Your LLM agent is live in production. It's handling 500+ customer requests per day. It accesses databases, calls APIs, writes to Slack. One day, a customer claims the agent took an unauthorized action. Your logs show: "Agent made API call." Your auditor asks: "What did the agent see? What did it decide?" You have no answer. This is the audit trail gap. Text logs show what happened . They don't show what the agent saw and decided . Video proof solves this. Why Compliance Requires Visual Proof Text audit logs are insufficient for high-risk AI scenarios. Here's why regulators require visual proof: EU AI Act (August 2026 deadline): High-risk AI systems must maintain "readily available information on the operation of the system." Screenshots prove operation. Text logs require interpretation. SOC 2 Type II: Auditors ask: "Show us the agent's view when it made that decision." A video showing the exact screen