Findings
What the evidence says so far
A finding is one thing we observed, stated carefully, and linked back to the experiment it came from. Findings are observations from specific tests — not universal laws.
Source: Experiment #003 · 12 Sept 2026
AI Can Prepare the Next Action Without Being the Decision-Maker
In Experiment #003, AI consistently turned structured cases into a next-action framework — prerequisites, questions, what not to promise — while the human still supplied the commercial call.
Read finding →Source: Experiment #003 · 12 Sept 2026
AI Caution Can Be Useful — Until It Slows the Conversation
In Experiment #003, the AI's conservatism protected against premature commitments, but in several cases the human chose to move the customer forward sooner.
Read finding →Source: Experiment #002 · 29 Aug 2026
AI's Apparent Advantage May Be Standardization, Not Judgment
In Experiment #002, the AI's edge over the human was consistency and coverage — not a better read of the business situation.
Read finding →Source: Experiment #001 · 15 Aug 2026
Missing Information Is Part of the Business Problem
In Experiment #001, most inquiries were incomplete, and the useful step was making the gaps visible before acting.
Read finding →
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