A guide to the people, processes and technologies needed to deploy governed and reliable AI agents at enterprise scale

by Pavithra Rao, Jeanne Choo, Kyra Wulffert and Alex Baur

AgentOps is the operating discipline for building, deploying and improving AI agents in production. It brings architecture, evaluation, observability, governance, security and cost management together into a process teams can repeat.

An AI agent is more than a model producing a response. Agents can choose tools at runtime, retrieve enterprise data, call APIs and work through a multi-step task on their own. Every one of those capabilities is a place where something can go wrong, such as a bad tool call, an overbroad permission or a cost spike nobody planned for.

AgentOps exists to keep that complexity from becoming a liability. Done well, it makes a system reliable enough that people trust it and simple enough that a team can actually run it.