AI Governance Dashboard: Bias Drift Contained in 41 Minutes | ElixirClaw

An AI governance dashboard that finds a failing AI system in minutes, not the 11 days it takes on average. See how agents catch fairness drift in a loan pre-screen agent and keep humans in control. A loan pre-screen agent's version 3.2 added a postcode income feature, skipped its fairness test, and opened a nine-point approval gap between age groups against a limit of four. Inventory, monitoring, policy and reporting agents trace the drift to that release; the control agent prepares a rollback to version 3.1, which waits for the head of AI governance to approve because the system is high-risk under the EU AI Act. A governance orchestrator in ElixirClaw runs five agents over an ElixirData context graph fed by AgentOps, the model registry, cloud AI, GRC and the data catalog, with tools from MCP servers and signed skills from ElixirHub. An authority boundary on the rollback tool requires human approval for high-risk systems, and AgentOps scores, red-teams and traces every agent. Drift contained in 41 minutes instead of 11 days, the gap back to two points within a day, an evidence pack mapped to the EU AI Act, ISO 42001 and NIST AI RMF, and three more systems flagged that use the same feature. Chapters: 0:00 Hundreds of AI Systems, One Drift 0:21 Why AI Governance Is Scattered 0:50 The AI Governance Dashboard 1:33 Tracing the Fairness Drift 3:02 Contained in 41 Minutes 3:53 Built on the Elixir Platform 5:14 AgentOps and Red Teaming ElixirClaw is the enterprise agentic OS, built on XenonStack's Elixir Platform: AI agents that work on your enterprise context from ElixirData, connect to your systems through MCP, act within decision boundaries you set, and keep a person in the loop for every high-risk step, with AgentOps tracing and evaluating every decision. Book a demo: https://elixirclaw.ai Context OS: https://elixirdata.co More from XenonStack: https://www.xenonstack.com Watch the full playlist: AI Agents for Governance, Risk & Compliance #ElixirClaw #AIAgents #AgenticAI