Ai Change Desk

AI CHANGE DESK | EP009: CONTROL HARDENING WEEK EPISODE SUMMARY This episode translates this week’s control signals into one operator contract: • legal claim confidence, • monitoring evidence, • suite-level governance assumptions, • and fallback ownership. This is the bridge from: • Episode 5 (access control), • Episode 6 (continuity), • Episode 7 (security workflow contract), • Episode 8 (release...

Two current operator signals, translated into a plain-language weekly control block. OpenAI announced plans to acquire Promptfoo, pushing testing/eval workflows further into default AI release practice. Anthropic launched The Anthropic Institute while NIST reinforced monitoring guidance context for deployed AI systems. A 35-minute operator block you can run weekly with one owner and clear pause au...

AI CHANGE DESK | EP007: SECURITY WORKFLOW CONTROL CONTRACT If your AI can find a vulnerability, draft a patch, and open a PR, your biggest risk is no longer detection quality. Your biggest risk is workflow ownership: • who can analyze, • who can approve, • who can merge, • who can pause, • and who can attest the execution chain under pressure. This episode translates four current signals into one...

Two current operator signals, translated into one concrete next-week action block. OpenAI released GPT-5.3 Instant and published system-card details. Vendor continuity pressure stayed elevated through Anthropic policy-dispute and blacklist-risk signals. A 30-minute Monday control loop to keep model release and fallback controls current. Treat model releases as workflow change events, not just prod...

AI CHANGE DESK | EP005: RUN AGENTS WITHOUT LOSING CONTROL If AI systems can execute actions in your environment, governance has to move from policy language to access control execution. This episode translates current signals into practical controls for operators: action-tier permissions, scoped credentials, human approval thresholds, deployment tier decisions, and a weekly control desk teams can...

Two operator-relevant signals from this week, translated into concrete controls teams can execute immediately. Distillation attacks moved from model-lab concern to enterprise operations risk. NIST's AI Agent Standards Initiative reinforced near-term interoperability and accountability expectations. A 25-minute weekly governance desk loop you can run every Monday. Treat provider security bulletins...

EP003: AI GOVERNANCE IMPLEMENTATION FOR OPERATORS AI governance breaks when it lives as a policy document and not as a weekly operating loop. In this main episode, we use current market signals (model updates, AI security tooling, regional deployment strategy, and standards activity) to show how leaders and operators can run governance as execution instead of theory. WHAT YOU WILL GET • A practica...

EP002: AI policy basics for operators. This episode translates AI policy concepts into practical operating decisions for leaders, managers, and delivery teams. Episode: 002 Title: AI policy basics for operators Runtime: 10m 30s Host: Michael Hanna-Butros Meyering AI policy works only when it is written as operational guidance people can apply in daily workflows. 00:00 Why AI policy fails in real t...

Welcome to episode one of AI Change Desk. This launch episode introduces the mission of the show and a practical framework you can use immediately to manage AI rollout decisions in your organization. Episode: EP001 Title: Welcome to AI Change Desk Runtime: 6m 25s (launch edition) Host: Michael Hanna-Butros Meyering 00:00 Cold open: the 3 questions teams keep asking about AI 00:42 Intro (show ID) 0...