Every’s Head of Consulting Just Automated Her Job

Podcast episode with Natalia Quintero (Every’s head of consulting), interviewed by Tom Matsuda. Quintero committed to waking at 6 a.m. daily to vibe code with AI and four weeks later calls herself a different person professionally.

Key observations from working with top companies on AI adoption: success requires coordinated effort from leadership (not just bottom-up experimentation); resources and fancy tools don’t predict success — internal champions do; and the people who make real progress treat AI adoption as play rather than obligation.

Quintero built an AI project management agent called Claudie that saves her 14 hours per week. The practical insight: automation works best when applied to the connector tasks (translation layers) between systems rather than trying to replace entire workflows.

RDCO mapping: The 14-hours-per-week savings from a single purpose-built agent validates the RDCO efficiency thesis. The emphasis on internal champions over tools aligns with the trust thesis — organizational AI adoption depends on human advocates, not technology alone. The play-as-adoption-strategy insight could inform Sanity Check content positioning.