AI teams
Human review for AI output. Before it reaches customers.
Models generate plausible text. Expert reviewers identify audience, compliance, and reputational issues that automated checks miss.
AI teams
Models generate plausible text. Expert reviewers identify audience, compliance, and reputational issues that automated checks miss.
Generated answers, chatbot replies, and model-written documents can read well and still mislead, exclude, or embarrass. Spot checks by the team that built the model are not an independent review.
Submit generated content through the portal or the integrator API. A human expert scores them against a published rubric and flags excerpts with rationale and recommendations.
Human evaluation of LLM outputs, chatbots, prompts, and AI-generated documents before you ship them.
Handbooks, policies, and corporate messaging reviewed for communication risk, bias, and audience fit.
A scorecard in your portal workspace with category scores, severity, flagged excerpts, reviewer rationale, and revision recommendations.
Tenant isolation, AES-256-GCM encryption at rest, and immutable audit logging. Security questionnaire and diligence materials are available on request.