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7 mistakes IT leaders make when deploying AI agents
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How I use AI to boost productivity and revenue | CIO
CIOs are under pressure to deploy more AI agents and demonstrate their business value.
But a “move fast and break things” approach can lead to rogue AI agents, AI debt, business impacts, and compliance issues.
CIOs must have a process to evaluate an AI agent’s business value before investing in its development.
When building AI agents, IT leaders should develop the security model before implementing the POC and ensure robust observability is in place.
Organizations scaling from a few to hundreds of production AI agents must also develop AgentOps practices across incident management, modelops, and end-user feedback.