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.

Legal

A 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 →
Healthcare

AI 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 services

AI 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 →
Enterprise AI

AI cost controls just shipped. A dial is not a budget owner.

Anthropic added AI cost controls to Claude Enterprise in July 2026 — caps, alerts, model entitlements. Useful. But a control enforces a budget; it doesn't own one.

7 min read →
Customer service

Why AI customer service agents are only as good as the record behind the answer

AI customer service agents lifted CSAT to the #1 improved metric in 2026. The catch: the agent makes a public promise on internal entitlement, refund, and order data that's often wrong.

7 min read →
Enterprise AI

Agentic arbitrage: why Gartner's $234B SaaS warning is really a legibility test

Gartner says agentic arbitrage puts $234B of SaaS spend at risk by 2030. The real signal: which of your processes an agent can run without the screen.

8 min read →