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  • AI Agent Governance: The Control Plane for AI Work

    AI Agent Governance: The Control Plane for AI Work

    The market wants to know how much an AI agent can handle on its own. Enterprises, on the other hand, care about whether they can accept the agent’s actions. In high-risk enterprise workflows, the most successful systems will not be the ones that act alone. Instead, they will be the ones whose actions a company Read article →

  • Know the agent before it moves the money

    A bank receives an instruction to move $4.8 million from a corporate treasury account. The request does not come directly from a human user. It comes from an AI agent operating inside the company’s finance stack. The bank has to decide whether the instruction is a valid delegated action, a misconfigured workflow, or a compromised…

  • The AI product is the workflow

    When you walk into most enterprise AI conversations today, the discussion starts with the model. Is it smart enough? Is the demo impressive enough? Does the feature set cover enough ground? But talk to buyers in operational, customer-facing, or regulated work and the questions shift. What job does this system do? What is it allowed…

  • The new AI SaaS lock-in is operational

    One of the most overlooked questions in an AI SaaS evaluation is not “what features are included.” It is “what happens when we need this vendor to stop?” That question sounds defensive until you watch a buying team realize what the demo is really showing. A customer-service platform is no longer only summarizing tickets or…

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