AI in Regulatory Science, R&D & Consumer Health

The Work

AI is genuinely useful in regulatory and R&D work — for literature surveillance, evidence summarization, document drafting, signal detection, formulation discovery, and the kind of pattern recognition that takes a senior reviewer weeks to do unaided. It is also where the gap between executive expectation and organizational readiness is widest. Strategy decks describe a transformation that the working teams cannot yet operationalize, often because the governance, data foundation, and validation pathways were not designed before the pilot launched.

The literacy gap is real on both sides. Executives are asked to set strategy and allocate capital without a working understanding of where AI is reliable, where it isn't, and what regulated use actually requires. Working teams are asked to pilot tools without a clear view of how regulators are going to look at the output. The conversation needs to be calibrated — not breathless, not dismissive — and grounded in what the function actually does.

Governance for AI in regulated environments is its own discipline. Data lineage, model validation, change control, audit trails, and human-in-the-loop design are not abstract concerns; they are the difference between a use case that scales and one that gets rolled back after the first inspection question. The right governance is heavier than a typical IT framework and lighter than full GxP — and the calibration matters.

Use-case labs are how organizations build real confidence. A small team, a scoped problem, real data, a defined success criterion, and an artifact at the end — not a slideware proof-of-concept. The output of a use-case lab is something the rest of the organization can examine, critique, and decide whether to scale.

This work is distinct from generic AI consulting. It is anchored in regulatory and R&D operating reality, in what FDA and other authorities are signaling, and in the founder's direct experience leading digital and AI initiatives inside global R&D and regulatory organizations — including Rutgers faculty teaching that keeps the technical foundation current.