Problem Clinic: Python in Regulated Environments --- What Works, What Doesn't

A moderated hour under Chatham House Rule with 20 practitioners from five regulated industries (banking, pharma, medical-product development, healthcare IT providers, critical infrastructure).

The session covered the operational bottlenecks AI programmes inside regulated corporates actually run into in 2026: SBOM and sub-dependencies, model validation, the perception of open source, communication between engineering, QA and compliance, and the handling of AI-generated code in review.

The format ran deliberately without recording and without slides, so that participants could speak openly about the real bottlenecks their programmes face.

An extensive write-up of the discussion, distilled to three core bottlenecks (language, threshold, mandate) and concrete recommendations for decision-makers, is published as a blog post: Regulated, Interconnected, Stalled: What's Blocking AI Projects in Five Industries.