A practical guide to AI agent ownership: who should own the workflow, who handles exceptions, who approves changes, and how to avoid the ’everyone thought someone else had it’ failure mode.

A practical guide to designing an AI agent pilot that produces usable evidence: clear scope, baseline metrics, human fallback, stop rules, and a real buy-or-kill decision at the end.

A practical guide to writing honest AI agent SLAs: what to guarantee, what not to guarantee, and how to price reliability without promising magic.

A practical buyer-side guide to evaluating AI agent vendors before you get trapped by slick demos, vague autonomy claims, and expensive cleanup later.