I think the biggest challenge is avoiding too much customization too early. AI systems can be incredibly flexible, but every custom workflow, prompt, integration, or model-specific tweak adds something that the team has to maintain later. A good approach seems to be customizing the parts that directly affect the customer experience while keeping the underlying system as standardized as possible. Clear documentation, reusable workflows, automated testing, and monitoring also make a big difference.The goal shouldn’t be maximum customization.

• This reply was modified 4 days, 18 hours ago by  Gilbert.