Why are so many early AI features failing to stick with mainstream enterprise software users?
Replied byRahul Vohra
Founder & CEO at Superhuman
Niche: SaaS
Revenue: Approx. USD 30 Million/month
Location: San Francisco, California, United States
Started: 2009
Most teams simply slapped a chat interface or a generic summary box on top of their legacy software without understanding the user's immediate workflow. If an AI feature requires users to context-shift, write complex prompts, or correct frequent hallucinations, the cognitive burden outweighs the time saved. For AI to become sticky, it must be embedded invisibly within high-frequency micro-interactions.
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