Methodology notes, field studies and technical papers from the Credenva research team and the independent methodology council.
How mature governance functions are moving beyond principles to evidence-based oversight of AI workers, and what an independent assessment can contribute.
A working definition of production readiness for AI workers — the dimensions, thresholds and disqualifiers that distinguish a demo from a system a business can rely on.
Preliminary findings on how much AI customer-support deployments vary across repeated runs of the same scenarios, and what that means for enterprise readiness thresholds.
Most enterprise AI failures do not originate in the foundation model. A taxonomy of deployment-level risks and how to test for them.
As AI systems take on named roles inside enterprises, evaluation must shift from tool benchmarks to worker-style assessments that mirror role expectations.
We work with enterprise buyers, AI vendors, researchers, governance professionals and advisors to shape a defensible, vendor-neutral evaluation standard.