Vannus Blog
Long-form thinking on AI tool selection, sprawl, procurement, and the elimination methodology.
We added 69 AI tools, and held them back twice before publishing.
Two attempts would have published failing grades on real companies because of gaps in our own database — a 97% failure rate the first time, and an F on the most privacy-respecting vendor in the batch the second. What went wrong, the three changes it forced in the methodology, and why every tool page now carries two verdicts instead of one.
We re-graded every AI tool in our catalog. 233 of 287 grades changed.
Our heaviest scoring criterion was measuring the wrong thing — it credited tools by name, not by what they run, and scored resellers above builders. We fixed it, re-graded all 287, and now every grade that turns on a vendor's model traces to the vendor's own documentation. The error, the reversals, and the rule that replaced it.
The Shadow AI Audit — a 90-minute checklist for ops leaders
A four-step inventory you can run in one calendar block. Pulls AP data, surfaces shadow accounts, flags trust dimensions, and ends with three written decisions. No SaaS-management platform required. Part 1 of the AI Tool Consolidation for SMBs series.
How to navigate Vannus
A short tour of the Vannus AI tool selection platform. Catalog, methodology, elimination engine, ROI calculator, and the founder-led audit — what each surface does, and which to use when.
Why your team uses 4 AI tools and pays for 12
90% of companies have employees using personal AI tools at work; only 40% bought subscriptions. The math on shadow AI, the trust gap, and what to do about it without buying a $45,000/yr SaaS-management platform.