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Six criteria we use to separate a real AI ROI solution from a dashboard wearing the name: full-stack coverage across every vendor and contract, a defensible per-vendor methodology, and results that hold up in front of the board and an auditor.

Before a renewal conversation starts, you need numbers the vendor didn't produce. Defensibility comes from an independent methodology, research-backed baselines, per-vendor attribution, and an audit trail every figure can be traced back to.

The real AI ROI question isn't just cost saved — it's capacity unlocked. Research-adjusted baselines put the AI-recoverable share of a role's time in a conservative 20–35% range, depending on function and adoption maturity.

A dashboard tells you what happened. A real AI ROI solution tells you what to do next — expand, renegotiate, cut, or pilot — with a strategic playbook a CFO can act on, not another chart to interpret.

If a vendor's answer to “how do you measure ROI” is “we track usage and attribute it to value,” that's not a methodology — it's a marketing sentence. Here's the question set we use to pressure-test AI ROI claims before trusting them.

The first test for any AI ROI solution is scope. If it only covers one vendor or one use case, it isn't measuring your AI investment — it's measuring a slice of it and calling that the whole picture.

Most of what's sold as “AI ROI” today is an activity dashboard, a single-tool estimate, or usage analytics with a new label. Kicking off a series on what a genuine AI ROI solution actually has to do.