Blog
Practical notes on source-backed AI, compliance workflows, and production document systems.
The real upsides and hidden costs of self-hosting models versus managed APIs — for teams that cannot afford surprise data paths or surprise bills.
Why AI document summarization fails in regulated teams, and the checklist that keeps summaries traceable, current, and safe to act on.
What regulated teams get wrong when they ask an assistant to draft policies, contracts, and SOPs — and the controls that keep generated text defensible.
How to trace every answer back to the document it came from — so audits, legal review, and leadership can trust what the system said.
Practical evidence structures for AI governance and operational resilience — not checkbox compliance theatre.
Why cited documents still produce wrong answers — and the runtime checks that stop teams from trusting a link they cannot defend.
The pre-flight checks that stop bad OCR, wrong versions, and permission leaks from poisoning your retrieval layer.
Why teams need an AI system inventory before regulators ask — and what to log without creating another spreadsheet graveyard.