ClaraCortex™

Control infrastructure for AI-enabled health systems.

ClaraCortex helps organizations define how AI-enabled health systems should behave, where they should stop, and when human review is needed.

Why it matters

AI systems need clear boundaries.

Different health applications need different rules. ClaraCortex helps teams set those limits before deployment and keep them visible as systems operate.

Define

Establish what a system is permitted to do within a given implementation.

ClaraCortex provides a shared governance posture for boundaries, interaction conditions, consent, and system scope.

Route

Direct interactions according to context, workflow, and defined controls.

Routing provides structured paths for different interaction types instead of treating every request or surface the same way.

Contain

Keep system behavior within its intended operational boundaries.

Containment helps preserve the limits of an implementation when interaction moves toward a boundary, stop condition, or escalation point.

Review

Keep governed interaction visible to human and institutional oversight.

Review pathways make boundaries, system behavior, governed data, and implementation conditions easier to inspect over time.

ClaraCortex systems

One governance foundation. Specialized systems for different AI implementations.

ClaraCortex Core establishes the shared governance model. Specialized systems extend that foundation into distinct forms of AI-enabled health interaction.

Shared governance foundation

ClaraCortex Core

Establishes the shared governance foundation for ClaraCortex. It defines system boundaries and routing while keeping containment and oversight reviewable.

Risk assessment

ClaraCortex (R)

Governs conversational risk assessment with defined response boundaries. It supports structured routing, containment, and review. ClaraCortex (R) was deployed within the ClaraWell Health Network.

Explore the Health Network

Conversational intake

ClaraCortex (I)

Governs voice and conversational intake. It keeps consent, interaction scope, and review conditions close to the experience.

Evidence + ClaraBrain

ClaraCortex (E)

Governs evidence-oriented workflows alongside ClaraBrain. ClaraBrain supplies structured health information while ClaraCortex (E) shapes how that information enters a governed workflow.

Explore ClaraBrain

Implementation fit

Different AI implementations need different controls.

Each specialized ClaraCortex system applies the shared governance foundation to a distinct form of AI-enabled health interaction.

ClaraCortex (R)

Conversational risk assessment

Structures conversational risk assessment with defined response boundaries, routing conditions, containment, and reviewable interaction pathways.

ClaraCortex (I)

Voice and conversational intake

Govern conversational and voice-based intake around consent, interaction scope, safety boundaries, routing, and structured review.

ClaraCortex (E)

Evidence-oriented workflows

Support evidence-focused interactions with controlled retrieval, source-aware context, and reviewable movement into evidence-backed workflows.

Interactive explainer

Explore how ClaraCortex structures governed interaction.

Select each layer to review how ClaraCortex structures posture, boundaries, modality, routing, containment, governed data, and oversight.

Governance capabilities

Control that stays visible.

ClaraCortex structures governance around explicit implementation conditions so boundaries, routing, consent, and oversight remain part of the operating system rather than separate from it.

Safety boundaries

Defines permitted actions, stop conditions, escalation paths, and the operating limits of an implementation.

Consent posture

Shapes interaction around permission, context, modality, and the scope established for a deployment.

Routing and containment

Structures how interaction moves through a system and where additional control, containment, or escalation applies.

Reviewable oversight

Keeps governed interaction, system conditions, and operational pathways available for human and institutional review.

Deployment

Reduce risk before Health AI reaches deployment.

ClaraCortex adds a control layer between AI capability and the experience people actually use. Defined boundaries, routing, containment, and review can reduce implementation risk while helping teams avoid costly rework as systems move toward deployment.

The value is practical: clearer operating limits, more reviewable behavior, and a stronger foundation for scaling AI-enabled health systems responsibly.