Building agentic AI for pharmaceutical manufacturing.

Agentic AI systems, built for the needs of CMC workflows from the start, are the solution to siloed CMC information systems and give each CMC employee incredible capabilities and tools in report drafting, deviation management, tech transfer, and manufacturing controls. The demo below demonstrates this in 12 minutes.

Working Prototype

Agentic CMC: AI in the Biopharma CMC Space

Below is a working prototype that demonstrates an agentic AI system handling real CMC workflows — deviation investigation, QC stability monitoring, regulatory drafting, and more — using realistic but synthetic data designed to be recognizable to operators in the space. The same architecture extends naturally to all aspects of CMC work.

The demo represents what’s possible when agentic systems are designed for regulated workflows from the start — not retrofitted from general-purpose AI tools. The interesting work in CMC AI isn’t the model layer; it’s the architecture that connects existing systems of record to agentic reasoning in ways that respect how regulated pharma actually operates.

About

I prefer to execute, not just strategize and I genuinely like solving problems for people, not just diagnosing them. What I’m focused on now is how proper data systems and agentic AI can rewrite how work actually gets done in CMC organizations: faster reports, cleaner deviation management, real leadership visibility, AI working as a partner rather than a bolt-on.

My work draws on twenty-plus years in pharma data leadership across HGS, GSK, and Novavax, and covers GxP/GMP manufacturing data, data governance, regulated systems architecture, and the cross-functional coordination problems that make pharma operations distinct from other industries. A non-pharma detour into a blockchain company in 2022 reshaped how I think about what data-forward operations look like and that drives a lot of what I’m building now.

I write my thoughts regarding data leadership in the agentic AI era at Intelligence-Layer.com.

I’m available for the right conversations whether that’s an executive role at a company serious about AI in regulated operations, a consulting engagement where the problem genuinely fits, or peer conversations with people working on adjacent problems.

If the work above resonates, the cleanest way to start a conversation is below.

Book a 45-minute conversation