Confabulation is often discussed as a model problem. In practice, it also exposes a review problem. The appearance of unsupported but plausible content forces organizations to examine how they determine whether information is acceptable in the first place.

AI systems do not always behave the same way over time. A prompt that produces one result today may produce a different result months later, even when the task appears unchanged.

The most effective way to reduce confabulation risk is often not improving review. It is improving the workflow that exists before review begins.

TransPerfect, the world’s largest provider of language and AI solutions for global business, today announced it has acquired Synterex, a Dedham, Massachusetts-based disability-owned and woman-owned consulting firm that provides clinical and regulatory writing, development, and technology-enabled solutions for the biotech and pharmaceutical industries.

Not every AI-related documentation problem is a hallucination. A document can contain factually accurate statements and still fail a review because the source path behind those statements is incomplete, unclear, or impossible to reconstruct.

AI-generated summaries can create risk even when individual facts are accurate. In AI-assisted document workflows, context is often more fragile than factual content.

Join Synterex leadership for "Beyond the Protocol: USDM, Structured Content, and Smarter QC," an AMWA-hosted webinar about USDM, structured content, and smarter QC on Oct. 14, 2026.

The U.S. Chamber of Commerce Foundation (USCC) has named Synterex a 2026 Citizens Awards finalist in the Best Corporate Steward: Small and Middle-Market Business category.

Retrieval errors matter in regulatory document automation because the problem often begins before an AI system writes a sentence.

One of the most persistent risks in AI-assisted medical writing is not obviously incorrect content. It is content that appears confident, coherent, and professionally written while subtly distorting evidence, context, or interpretation.

Imagine assembling an IKEA piece of furniture. With the instruction manual written in legal jargon. In Swedish. Maybe you decide to call a friend, whose knowledge of Swedish engineering stops at perfectly constructed round meatballs, or maybe you give up and decide to just wing it. That’s often how patients feel when handed a traditional informed consent form: distressed, overwhelmed, and unsure if they’re putting all the pieces together right. Now imagine if that manual was

An effective AI medical writing validation process begins before validation activities, testing protocols, or performance metrics are discussed.