A look inside DnXT’s V5 workflow engine — 50+ endpoints, state machine architecture, and the preCheck pattern that lets AI agents look before they leap.
Electronic signatures in regulated environments require human attribution. Here’s why AI agents must be architecturally blocked from signing, not just told not to.
A balanced analysis of how Veeva, Kivo, DnXT, and generic AI platforms approach AI in regulatory publishing — strengths and limitations of each.
A technical breakdown of four-layer tenant isolation in DnXT’s regulatory platform, and why it matters when AI agents interact with regulated data.
A technical look at how DnXT’s audit trail infrastructure handles AI-initiated actions while maintaining 21 CFR Part 11 and ALCOA+ data integrity standards.
How the Model Context Protocol enables AI agents to interact with GxP compliance systems while maintaining regulatory guardrails and audit integrity.
Test excerpt update at 2026-04-10T23:20:09.336Z
The Hidden Cost of Disconnected Regulatory Systems — And What Integration Actually Looks Like Walk into almost any mid-to-large pharma company’s regulatory department, and you’ll see a familiar sight: a collection of best-of-breed systems, each designed to do one thing well, but rarely speaking to each other. It’s a landscape I’ve navigated countless times in […]
We Built a Visual Workflow Engine for Pharma in 3 Weeks — Here’s the Architecture If you’ve spent any time in regulatory operations, you know the drill: critical processes like document reviews, submission approvals, and safety report routing often live in a chaotic mix of email chains, shared drives, and manual follow-ups. Or, if you’re […]
Why Health Authorities Are Watching How You Build Your eCTD — Not Just What You Submit If you’re still thinking of eCTD publishing as a “just make it valid” checkbox, you’re missing a critical shift in health authority expectations. The days of agencies simply validating your XML against a DTD and moving on are rapidly […]
