A practical guide to building the business case for an AI agent project: how to frame the workflow problem, estimate value honestly, account for exception costs, and justify budget without fake autonomy math.

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 operator guide to measuring AI agent ROI: baseline the workflow, track exception load, price human review correctly, and decide whether the system is actually improving margin.