Turning post-call follow-ups from a 20-minute chore into a 5-minute one.

OVERVIEW

Every sales call ends with a follow-up email, the step that actually keeps a deal moving. Writing one by hand takes about 20 minutes, and at 5 to 6 meetings a day that quietly pulls close to 2 hours away from selling. Reps had started pasting transcripts into ChatGPT and Claude to move faster, but the workaround sat outside their workflow and produced inconsistent results. Sybill saw a chance to build this into the product itself, drafting from the meeting and deal data it already held.

I owned the end-to-end 0-to-1 design of the AI email experience, taking drafting from 20 minutes to about 5 and anchoring Sybill's shift from meeting notetaker to sales assistant.

• My role
• Team
• Duration

MY CONTRIBUTION

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• Partnered with Product on shaping a broad email mandate into a focused, shippable first scope.
• Led discovery across 10 interviews and 30+ real AI-chat sessions.
• Designed the end-to-end 0-to-1 drafting flow around deal context and voice.
• Cut follow-up time by roughly 75%, moving Sybill beyond notetaking. </aside>

IMPACT

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About 75% less time on every follow-up Reps went from writing each email by hand to refining a context-aware draft, cutting the time from 20min to 5.

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<aside> 🎉 Early retention held steady Weekly usage held its level across the first three weeks, a sign that reps who adopted the feature kept returning at their natural follow-up cadence.

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<aside> 🎉 A step toward Sybill as a daily sales assistant The feature extended Sybill from meeting notes into the rep's daily selling motion, an early move in its shift from notetaker to an assistant reps lean on across the deal.

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CONTEXT

Sales runs on email. Sybill didn't own it yet.

Sybill had made its name as an AI meeting notetaker, but its next move was bigger: to grow from summarizing the meeting into an AI assistant for the whole motion around the deal.

Email was the natural place to start. It is one of the main ways reps push deals forward, and it sits right on top of the meeting and sales data Sybill already pulled from across a rep's integrations.

The demand was already visible: on customer calls, reps were pasting Sybill transcripts into ChatGPT and Claude to draft emails, clear evidence they wanted AI to take this off their plate. But that workaround sat outside Sybill, with none of the deal context the product held. So Sybill committed to integrating email workflows into our product.