Separated public pages, authenticated product surfaces, server-mediated access, and version-bound measurement. This website reads no employee data.
Responsible Human–AI adaptation starts with clear data boundaries.
Current architecture and limits—not a certification or production-approval claim.
Task-relevant adaptation context can be shared with AI. Raw questionnaire answers are not sent by default.
Identity, organization, subject, and role checks are separate. Service credentials remain outside frontend code.
Organization and subject access are tenant-bound; cross-tenant access is denied by application and data boundaries.
Managers do not automatically receive raw responses or private free text.
Provider-neutral MCP/API interfaces can supply controlled context. Provider and connector configuration depend on deployment.
Operational participation does not imply research permission; optional decisions remain purpose- and version-specific.
Versions, parameters, evidence, corrections, and relevant access retain provenance.
Legal copy, provider governance, retention, identity, monitoring, incident readiness, backup evidence, and approval remain gates.
Transparent readiness.
Local synthetic buyer and product experience.
Security, privacy, legal, identity, and release gates remain.
No production activation or certification claim.
No ISO 27001, SOC 2, HIPAA, final EU hosting, final data residency, or production certification claim is made.