2.5× More Deals Closed and +29% Productivity Through CRM-Native Conversation Intelligence
Surfacing actionable insights from every sales call to drive smarter decisions and higher team performance within Salesforce.
AI & Machine Learning
The most exciting problem in AI design is trust. A model that scores a sales call, reads a biosignal, or calls a deal at risk becomes something people will act on the moment they can see what it saw and know when to overrule it. That thread runs through all three of these: a CRM-native intelligence product that shipped, a research platform run by AI agents, and a concept that put task-scoped agents on screen two years before the industry settled on the word.
Intelligence products I created end to end and owned through launch, where the model output had to be legible enough for someone to act on it.
Surfacing actionable insights from every sales call to drive smarter decisions and higher team performance within Salesforce.
View case studyA research-grade biosensor ring, a participant app run by AI agents, and an analyst platform that turns raw biosignal into moment-by-moment insight into unconscious reactions to media.
View case studyExploratory work that drew a system of task-scoped agents two years before the industry settled on the word for them.
With the Slack acquisition announced and every product leader asking what it meant for them, I led a four-person team to answer the question in pictures — a full deal-save narrative putting Slack at the center of the seller’s day.
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