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Neha Kumari
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Using AI to run a better discovery call

A discovery call lives or dies on attention. If I’m scribbling notes and trying to remember my next question, I’m not really listening, I’m performing listening.

AI quietly fixed the parts of that I shouldn’t have been spending attention on in the first place.

Before a call, I’ll pull together a quick brief on the company and the people I’m meeting, so I walk in with context instead of small talk. After the call, I drop my messy notes in and get back a clean summary, the open questions, and a first-draft recap I can send the same day. Proposals start from an outline instead of a blank page.

None of that is the actual work. The judgment is still mine: what matters, what’s real, what to recommend. But the busywork used to eat the hours I’d rather spend thinking. Now it doesn’t, and the calls themselves are better because I’m actually in them.

The funny thing is that getting comfortable using these tools is part of what made me curious about what’s underneath them. Hard to use something every day and not start wondering how it works.


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