Intent and context
The decision, workflow, users, information, consequences, and conditions the evidence represents.

The structure follows CAISI’s published reporting guidance so a reader can understand what was tested and where the limits are.
Read the published guidanceThe decision, workflow, users, information, consequences, and conditions the evidence represents.
Test cases, measures, protocols, and where people audited automated scoring.
Model and version, settings, prompts, tools, connections, permissions, and approval points.
Supported conclusions, uncertainty, benchmark limits, failure patterns, and conditions.
Who designed, implemented, paid for, and evaluated the system—including Lemonbrand.
Most clients manage AI inside their business; they do not train foundation models. We assess the manager-side commitments in Canada’s Voluntary Code as a practical operating baseline.
Proceed, run a bounded pilot, repair and retest, obtain independent assurance, or stop.
CAISI does not certify Lemonbrand, this service, or the systems we evaluate. Following published guidance is not accreditation, approved-vendor status, legal advice, or independent assurance.



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