Insights on AI, automation, and enterprise transformation.
Policy, Standard, Procedure, Control. AI policy governs how humans use AI as a tool. Agent policy governs AI as a non-human actor. Conflating them, or conflating the governance layers, is how autonomous software ends up in production with no defensible answer to the questions that matter.
AI agents can execute dozens of infrastructure changes per minute. Without human-in-the-loop controls, that speed becomes a governance liability. Here is how GRC teams should think about HITL — and how SkipFlo implements it in production.
Autonomous AI agents are only as trustworthy as the structure they operate in. The SkipFlo Platform provides that structure: normalized data, business process guardrails, budget controls, and hard checks and balances so agents can operate with confidence.
While Nvidia and OpenAI race to dominate enterprise AI, most companies are still stuck with powerful tools that require their teams to operate them. There is a difference between a tool and a worker. Here is why that distinction changes everything.
The AI industry keeps debating whether AI truly learns. Meanwhile, your competitors are automating the work. Here is why the learning question is the wrong question -- and what actually matters for enterprise AI.