Is Your AI Agent Production-Ready? Review These Key Factors First

An expert panel from the Forbes Technology Council discusses essential factors for organizations to evaluate when transitioning AI agents from pilot programs to full production. The article stresses that an agent's ability to perform in a controlled testing environment does not automatically guarantee readiness for real-world scenarios, where conditions are dynamic and business consequences are significant. Technology leaders must go beyond initial demonstrations to ensure genuine reliability. Key overlooked considerations include the necessity of an AI agent for a given task; in cases where processes are well-defined or outputs are predictable, an AI agent might introduce undue complexity and higher maintenance costs. Furthermore, the article highlights the importance of robust cost governance and return on investment (ROI) tracking. AI agents, by their nature, may not always find the most cost-efficient path to a solution, and their effectiveness can diminish over time due to model drift. Therefore, true production readiness entails not only functional correctness but also meticulous measurement of cost per outcome, establishment of appropriate controls, and clear accountability for the agent's operational expenses. Failure to address these critical aspects can lead to increased risks, suboptimal performance, and a loss of potential value for the deploying organization.