The part teams might overlook is that AI customization can become a kind of “invisible debt.” Everything works fine at first, so you keep adding prompts, rules, and integrations without thinking much about the future. Then a model update happens and suddenly something that worked perfectly starts behaving differently.

The goal shouldn’t be to make the AI as customized as possible, but to make it easy to change when things change. I’d keep the custom pieces that users actually notice and simplify everything else. A little less customization today might save the team a lot of headaches six months down the road.