Three engagements, three industries: pharma market insights, D2C marketing, and fintech title & escrow. Different problems, same throughline: AI moved from strategy to daily practice, and the business results followed.
From zero GenAI use to daily, competent practice in four months. The audit, the tool-mapping, and the See–Do–Teach playbook that took every analyst across the line.
Re-architecting the world's fastest-growing pet supplement brand's marketing engine around generative AI, and turning campaign velocity into revenue.
Co-founding an AI-native title and escrow company that compressed a 30–50 day closing process into something resembling a modern checkout, built on Doma Intelligence.
Each case represents a different shape of the same problem: AI as strategy versus AI as daily practice. In pharma, it was a team that had tools but no confidence. In D2C, a bootstrapped operator hitting the ceiling of human-only campaign production. In fintech, a centuries-old industry waiting for a re-architect. The fix in every case was the same: get the practice into the hands of the people who do the work.
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