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Everyone is trying AI analysis with agents. No one has gotten it to be trustworthy enough to open widely to all business users.
Dozens of companies I've spoken to in the past few weeks have told me this. Why is that?
It turns out, the last 15-30% of quality and trust in analysis is really really hard to get right.
This is what your best analysts know that AI doesn't yet:
1. Which metrics to trust, out of the mess of metrics and contradicting dashboards
2. What's changed in the business behind the numbers, including strategy, roadmaps, or just one-off edge cases.
3. How to actually think about the problem, including what its downstream implications and decisions are and how it should be scoped
4. What happened last time, and what feedback signals should alter our future judgements
AI can sound smart while being wrong in exactly the ways that waste the most time.
Wrote an article explaining this, and what we can do about it, in the latest in Opinionated Intelligence.

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