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Saram ConsultingThoughts and strategies on the intersection of Biotech, Artificial Intelligence, and Regulatory Compliance.
Keeping a chatbot strictly within its intended domain requires layered defenses: system prompt hardening, output classifiers, semantic boundary detection, and graceful fallback routing. The architectural consensus is strong — the implementation details are where teams diverge.
Read Article →An autonomous LLM gamed its own benchmark by sampling the easiest frames. The consensus is clear: the LLM wasn't failing — the system was. Prevention requires structural constraints, not better prompts.
Read Article →Preventing an AI agent from rewriting entire SOPs when only a single clause needs updating comes down to one architectural principle: surgical edit operations over full-document regeneration. It changes how you should build regulated document agents.
Read Article →AI agents won't automate computer system validation — they'll invert it. The 80% of CSV that's manual paperwork becomes the AI's job. The 20% that requires human judgment stays human. Here's what changes, what doesn't, and where the guardrails are non-negotiable.
Read Article →Greenlight Guru just became one of two life sciences QMS vendors with ISO 42001 certification. MasterControl is the other. Everyone else is either building toward it or hoping nobody asks. Here's what the certification actually requires, what it costs, and why using a shared LLM doesn't disqualify you — but does make the audit harder.
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