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AI Agents & Automation

Healthcare production teams were spending 3–5 days on work that required zero creative judgment. I saw the opportunity, built the business case, and led the teams that changed it — cutting CLM production by 70% and email production from days to minutes.

AI agents and automation
The Challenge

Pharma production teams were burning 3–5 days per campaign on work that required no creative judgment — manual design-to-code conversions, repetitive formatting cycles, QA loops. Every week, the same bottlenecks. Every quarter, the same missed timelines.

The Approach

I defined the automation vision and drove it from concept to delivery — a Figma-to-Veeva CLM pipeline, a design-to-SFMC email converter, and an AI evaluation programme scoping LLM copy tools, MLR pre-review agents, and analytics automation. I built the business case, secured executive buy-in, and led delivery across creative, medical, and technical stakeholders in three global regions.

The Outcome

CLM production time cut 70%. Email production from days to minutes — with 40–60% less QA effort. Teams that used to fight timelines now have capacity for strategy. AI agent adoption driving measurable ROI across LATAM, EMEA, and APAC.