AI Agent Ownership: 3 Questions for Deployment

Organizations deploying customer-facing AI agents need to answer three critical ownership questions before going live. The first question is about who in the organization owns what the agent tells a customer. This isn't about the vendor or the IT team, but a specific person accountable for the system's output. Unlike licensed software, an AI agent takes actions and makes decisions, meaning customers hold your organization responsible when something goes wrong. The second question is who can pause the agent without contacting the vendor. This capability is crucial for operational readiness if something needs to be stopped quickly. Finally, who is responsible for updating the agent's content layer, like policies or business rules, when they change? If these three questions aren't answered, your organization doesn't truly own the agent. This matters because clear ownership is vital for managing risks and ensuring accountability when using AI agents.