What makes AI research actually decision-ready?

I keep seeing the same pattern: AI research can look impressive, but it’s still hard to use for a real go/no-go decision.

What usually feels missing to you?
• clearer risks and assumptions
• better structure
• source traceability
• easier comparison between ideas
• something else?

I’m building IdeaScope around this exact problem, so I’d love honest feedback from people who actually use research tools.

Curious how others here think about this.