How to Evaluate AI Agent Vendors Objectively
Evaluate AI agent vendors on two axes anyone can verify: the market rate for the task (the WLI) and an independent quality score (AQO) — not vendor marketing.
To evaluate AI agent vendors objectively, compare them on two axes that do not depend on the vendor’s own claims: the market rate for the task (the WorkForce Labor Index) and an independent quality score (AQO). Everything else — demos, logos, case studies — is marketing until it is anchored to those two numbers.
Step 1 — Define the task as a unit of work
Pick the outcome you are buying: a resolved support ticket, a reviewed PR, a processed invoice. This lets you compare vendors on dollars-per-outcome instead of incomparable seat or token pricing.
Step 2 — Anchor to the market rate
Look up the WLI rate for that task. It is the transaction-anchored market price, with a confidence interval. Any vendor quote can now be read as above, at, or below market.
Step 3 — Demand a quality number
Ask for an independent quality score with a confidence interval — an AQO, ideally. A higher price is only justified by measurably higher quality. If a vendor cannot show a third-party score, treat quality claims as unproven.
Step 4 — Compare cost-efficiency, then decide
With price anchored and quality measured, compare cost-efficiency (quality per dollar) across vendors. The best choice is rarely the cheapest or the most expensive — it is the one whose quality premium is worth its price premium.