Notes from the field.

A living catalog of the companies competing for labor budgets across legal, healthcare, finance, sales, operations, public sector, and insurance.

A practical brief on turning scattered company knowledge into source-linked workflows, owners, contradictions, freshness, and confidence.

A practical method for designing bounded, tool-using, evidence-producing AI workers inside controlled business workflows.

Hourly, project, and retainer ranges that SMBs actually pay in 2026 — what drives the price, what the lowest quote usually skips, and a five-question checklist for evaluating one.

Twelve items grouped into the four things compliance and finance actually ask about: policy, audit, evaluation, and operations.

The artifact that distinguishes a system you trust from a demo you hope works — a practical guide to building a production eval set.

Five questions and three failure modes for SMBs choosing between hiring an AI consultant and building the capability in-house.

One page per workflow, eight sections, same headings every quarter. The boring artifact that keeps an AI program legible to the board.

Readiness isn't about infrastructure or budget. It's about whether you can answer five specific questions about the workflow you want to change.

The ROI case most consultants make is wrong in the same three ways. Here's what a defensible one actually looks like.