What unexpected challenge did your team encounter when deploying autonomous AI agents into your business workflow?

One unexpected challenge we encountered when deploying AI agents into content workflows was that the outputs often became too generic when they were built primarily from traditional marketing materials. The AI could generate content quickly, but the messaging started sounding flattened, repetitive, and disconnected from how founders naturally explained their expertise, customer problems, and decision making process. That forced us to pivot the strategy. Instead of relying heavily on static website copy, we began using structured founder conversations and interview transcripts as the core source material feeding the AI agents autonomously. The difference was significant. The content became much more conversational, context rich, and aligned across platforms because the AI was learning from natural explanations rather than isolated marketing language. The biggest lesson was that AI agents work far better when they amplify authentic expertise instead of trying to manufacture authority from generic source material.