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Security & privacy

Responsible Human–AI adaptation starts with clear data boundaries.

Current architecture and limits—not a certification or production-approval claim.

Architecture

Separated public pages, authenticated product surfaces, server-mediated access, and version-bound measurement. This website reads no employee data.

Data minimization

Task-relevant adaptation context can be shared with AI. Raw questionnaire answers are not sent by default.

Identity & authorization

Identity, organization, subject, and role checks are separate. Service credentials remain outside frontend code.

Tenant isolation

Organization and subject access are tenant-bound; cross-tenant access is denied by application and data boundaries.

Role visibility

Managers do not automatically receive raw responses or private free text.

AI data flow

Provider-neutral MCP/API interfaces can supply controlled context. Provider and connector configuration depend on deployment.

Research separation

Operational participation does not imply research permission; optional decisions remain purpose- and version-specific.

Auditability

Versions, parameters, evidence, corrections, and relevant access retain provenance.

Security roadmap

Legal copy, provider governance, retention, identity, monitoring, incident readiness, backup evidence, and approval remain gates.

Current status

Transparent readiness.

Product demoReady

Local synthetic buyer and product experience.

Controlled paid pilotPending

Security, privacy, legal, identity, and release gates remain.

ProductionNot approved

No production activation or certification claim.

No ISO 27001, SOC 2, HIPAA, final EU hosting, final data residency, or production certification claim is made.