Steer AI Agents by Intent, Not by Micromanagement

Most teams deploy AI agents with excessive human approvals, creating bottlenecks that require more attention than manual processes. A better approach is to define clear outcomes, constraints, and escalation thresholds upfront, then let the agent work autonomously. This shifts governance from action-level oversight to intent-level design, reducing false security and improving efficiency.