Tag
AI Governance
5 essays
Filed under5 filed
Goal Translation Infrastructure: Encoding What Your Organization Actually Wants
Your Capability Map says a workflow is Agent Ready. Now what does the agent optimize for? OKRs were designed for humans. Agent Actionable Objectives are the translation layer that's been missing.
The Organizational Capability Map: Deciding What Your AI Agents Should Actually Own
Most AI deployments fail not because the technology doesn't work, but because nobody decided which workflows agents should actually own. The Organizational Capability Map is a framework for making that call.
The Intent Gap: Why Your AI Agents Are Optimizing for the Wrong Thing
Klarna's AI agent saved $60M then backfired. The problem wasn't the AI. It was the gap between what agents optimize for and what organizations actually need.
Agent 365: Plan for 18 Months, Not 3
Microsoft's Agent 365 demos compress 12-18 months of work into 10-minute presentations. The technology is real. The implementation gap is too. Here's what data readiness, integration complexity, and organizational change actually look like for enterprises planning AI agent deployments.
The Shadow AI Problem That Agent 365 Actually Solves
Enterprises are about to repeat every mistake they made during cloud adoption, but with AI agents. Here's what I learned from ten years of Azure migrations about why Shadow IT happens and what Microsoft's Agent 365 actually solves.