Vendor AI Claims Need a Trackable Metric, Not Just a Feature List

DocuSign's Q2 fiscal 2027 results included a specific, trackable number: its AI-focused Intelligent Agreement Management platform now represents 15.1% of total annual recurring revenue, up from 12.6% just one quarter earlier. That's a real metric, disclosed publicly every quarter, that lets anyone — a customer, a competitor, an analyst — verify whether the AI platform's adoption is actually accelerating over time. Most vendors pitching 'AI-powered' capability offer nothing comparably specific or trackable.

Why a Feature List Isn't Evidence of Adoption

A vendor can genuinely have built strong AI capability into their product and still have almost no customers actually using it. A feature list tells you what's technically available; it says nothing about actual uptake. DocuSign's 15.1%-of-ARR figure is meaningfully different because it's a revenue-linked, quarter-over-quarter number — customers are specifically paying for and using the IAM platform at a rate the company can and does disclose.

What a Genuinely Trackable Metric Looks Like

• It's tied to actual revenue or usage, not just feature availability — a percentage of ARR, active weekly users, or a similarly concrete number, not 'X% of customers have access to'
• It's disclosed on a recurring cadence (quarterly, in DocuSign's case) so trend direction is verifiable over time, not a single point-in-time claim
• It's specific enough that a competitor's equivalent claim can be directly compared against it — vague framing ('growing rapidly,' 'strong adoption') can't be benchmarked the same way a real percentage can

What to Ask the Next Vendor Pitching AI Capability

Ask directly: what specific, recurring metric do you track and disclose for this AI feature's actual adoption, and how has it moved over the last two to four quarters? A vendor with a real answer — even an imperfect one — is telling you something meaningfully different than one that redirects to a feature list or a single glowing case study. The redirect itself, much like in evaluating ROI claims or active-usage claims, is often the most informative part of the answer.