Articles
Operator notes.
Problem-first writing on AI, automation, and the process underneath. Each piece names a real bottleneck, exposes the broken layer nobody owns, and shows what the working system actually looks like.
Deploying an AI agent means writing down the work nobody documented
What to configure before deploying an AI agent — policies, approved actions, escalation rules. The hard part isn't the model. It's the process nobody wrote down.
7 min read → AI governanceThe EU AI Act August 2026 deadline didn't move — the one everyone staffed for did
The EU AI Act August 2026 deadline still lands: Article 50 transparency is unchanged while high-risk rules slid to December 2027. What the split actually means.
7 min read → Field serviceCustom vs. off-the-shelf scheduling software: your margin lives in the constraints the template can't express
Custom vs. off-the-shelf scheduling software is the wrong question. Write your constraints down first — most are standard, and the few that aren't decide your margin.
8 min read → LegalA legal AI agent reviews contracts in minutes. It can't fix a clause taxonomy that drifts.
Legal AI agents now extract and review clauses end-to-end. But the agent inherits your clause taxonomy — and when one clause is named three ways, it misses it, silently.
7 min read → HealthcareAI medical coding is only as accurate as the note underneath it
AI medical coding now auto-generates ICD-10 and CPT codes from the clinical note. But the code inherits the documentation — and a confident code on a thin note books a denial faster.
7 min read → Financial servicesAI lending agents can run the whole loan. The credit decision still rides on the loan file.
AI lending agents now automate the full loan lifecycle — but the credit decision inherits an un-owned loan-file data contract. Fix the file, then run the agent.
7 min read →