Insights
Clear thinking for the people who approve, own and operate AI agent projects. Written without hype, and without invented numbers.
The archive
8 articles
A pre-approval checklist for owners and C-level leaders: five questions that expose whether an AI agent project will reach production before you commit budget.
Most AI agents are demos judged by the happy path; a production system is judged by what happens when something goes wrong.
Lock-in is usually filed as an engineering concern. It belongs on the board agenda, because it quietly sets your pricing power, your continuity, and your compliance position.
A pilot proves an agent can work once. Production asks whether it works every time, for every input, under a name that owns it.
A practical map of the operational work where AI agents earn their keep — and the work where they quietly destroy value.
A buyer's guide to telling genuine agent problems from work that a script, a form fix, a policy change, or a hire would solve faster and cheaper.
A CFO-grade framework for costing an AI agent by the fully-loaded price of a resolved task — not by the token — measured against the baseline you already run.
Keeping people in control of agents does not mean putting a person behind every decision — it means designing where judgement is spent.
Next step
Book a 30-minute executive consultation. We’ll map one real workflow, show you what production would actually take, and tell you honestly if an agent is the wrong tool.
