Security and AI governance

Governed AI begins with clear boundaries.

Simmer works with customers to define approved knowledge, permitted users, interaction rules, escalation paths, data handling and deployment responsibilities.

Core control areas

Define how each deployment should operate.

Controls must be scoped to the exact product, use case, users, data and deployment responsibilities—not described as universal guarantees.

Knowledge controls

Define which sources the AI may use and how authorized content is updated.

Access controls

Configure users and administrative roles according to deployment scope.

Human oversight

Provide review, escalation and exception workflows where required.

Monitoring

Observe interactions, unanswered questions and configured quality signals.

Data boundaries

Document collection, use, retention and deletion responsibilities.

Change management

Test and approve meaningful knowledge, prompt and workflow changes.

Buyer assurance

Continue the security review with the right documentation.

Qualified buyers can request architecture, data-flow, subprocessor, continuity and control information appropriate to the proposed deployment.

Architecture and data flowSubprocessor scopeContinuity and recoveryControl ownership

Continue the security review.

Tell us which Vera or CareScribe use case you are evaluating so the discussion can match the correct service boundary.