AI adoption succeeds when business strategy, editorial practices, operational processes, and infrastructure work together. Organizations often approach AI as a technology initiative, but for content teams it is also a content operations initiative. Weakness in any one area limits the others, compromising the integrity of public-facing content. The standards to which content must conform need proper ownership and oversight.

Like in any operating model, AI works when there is clear governance. That means clear processes, clear boundaries for use of AI tools, and clear expectations of how AI is to be used. The potential repercussions of lack of change management, operational controls, and policies clearly stated by senior management. By the time that inconsistencies and errors creep in, the operational problems have taken root, and it will be hard to course correct.

‍Applying standards, using governance for ownership and oversight, a strong operating model, and an infrastructure that supports business goals must all work together, and that will determine whether AI will be effective or amplify existing problems.