AMWA NorCal Pacific Coast Conference

Navigating a Changing Landscape

May 15-16, 2026 | Delta Hotels Santa Clara Silicon Valley | Santa Clara, CA

Peer AI is joining the 2026 Pacific Coast Conference, hosted by the Northern California chapter of the American Medical Writers Association. Peer AI CEO and Co-Founder Anita Modi will speak on what separates AI pilots that stall from those that scale, and the team will be on-site both days at the Peer AI booth for live demonstrations and conversations with medical writers, regulatory professionals, and life sciences leaders.

Visit Peer AI at our booth

Stop by the Peer AI booth to meet the team and see live demonstrations of the platform that biotechs and top 20 pharmas trust to author, orchestrate, and anticipate across the regulatory submission lifecycle.

Featured session: Why Most AI Pilots in Medical Writing Stall: And What Changes When They Don't

Speaker: Anita Modi, MBA, CEO and Co-Founder, Peer AI

Description: Most pharmaceutical companies have launched AI pilots for medical writing. Many have not progressed beyond them. This session examines the structural reasons AI pilots stall in regulated writing environments, and what distinguishes implementations that achieve sustained adoption. The discussion draws on cross-industry patterns to identify the most common failure modes: misalignment between AI capabilities and writer workflows, underestimating the role of institutional knowledge, over-indexing on speed metrics while neglecting quality and trust, and deploying tools that require writers to change how they think rather than how they execute. Attendees will learn a practical maturity framework for evaluating AI readiness in medical writing organizations, the organizational conditions that predict successful scale-up, and why the transition from pilot to production depends more on change management than on technology selection.

Speaker bio: Anita Modi is CEO and Co-Founder of Peer AI, an agentic AI platform helping life sciences teams produce regulatory and clinical documentation faster and with greater consistency. Her team is comprised of AI engineers and regulatory medical writers and works with emerging biotech through Top 20 pharma. Anita specializes in applying AI to medical writing workflows—translating complex clinical data into clear, submission-ready content across use cases, with user interfaces for medical writers to interject their expertise. Anita has spent her career building technology for regulated workflows in life sciences. Previously, she served as the Chief Quality Officer at Science 37 and supported product strategy through its $1B+ IPO. She studied at Princeton and Harvard Business School and is based in San Francisco.