Our view: AI disclosure as a non-exhaustive set of tested interaction states
We infer that a footer or opening message alone may be insufficient for operating AI disclosure across channels, handoffs, and generated-media delivery. Our non-exhaustive matrix turns disclosure into owned, counsel-reviewable product states and regression checks.
Our view: a non-exhaustive pre-purchase workflow audit for healthcare reception
We propose a non-exhaustive audit for tracing representative calls through scheduling rules, financial barriers, queues, callbacks, and ownership before evaluating voice automation.
Our view: a non-exhaustive healthcare call-resolution scorecard beyond handling rates
Our view is that a single automation, containment, or “dealt with” rate may be insufficient for evaluating healthcare voice automation. We infer a non-exhaustive scorecard that separates access, administrative task completion, and human escalation.
Welcome to Super Genius Labs
Notes on why we built a lab around agent teams, not chatbots.