The Two-Week Cliff
Most AI features launch to a spike of curiosity and then quietly flatline. Users try the chat box, get a few impressive answers, and return to the tools they already trust.
The problem is rarely model quality. It is that the feature lives beside the work instead of inside it.
What Durable AI Features Share
They start from a recurring job with a clear owner, not from a blank prompt.
They finish the work end to end, including the tool updates and handoffs, rather than stopping at a suggestion.
They report outcomes in hours saved or errors prevented, so teams can see the value every week.
“If an AI feature doesn’t demonstrably save hours or prevent errors, we cut it.”
From Features to Workflows
Autonomous workflows turn one-off answers into repeatable operations. That is where adoption compounds instead of fading.
