AI Compliance & Trust

The EU AI Act & CAIRE

As the European Union’s Artificial Intelligence Act comes into effect, business leaders seek clarity on how AI solutions align with regulations. At CAIRE, we prioritize transparency.

Our optimization engine is distinct from generative AI or predictive ML models. It does not learn patterns from large training datasets. Instead, it relies on pre-programmed algorithms and rules to find optimal solutions in a fully deterministic way.

No "Black Box"

Because we do not use "training data" as defined in the AI Act, many compliance obligations simply do not apply. There are no hidden biases from training sets, no opaque statistical models, and no hallucinations.

Is CAIRE an "AI System" under the Act?

Yes. The EU AI Act defines AI systems broadly to include rule-based, logic-driven, and optimization algorithms. CAIRE qualifies because it performs reasoning and decision-making based on user input and hard-coded constraints.

However, while it fits within the scope, the deterministic, rule-based nature of our solver algorithms ensures that it avoids the Act’s strictest regulatory burdens typically reserved for more opaque or adaptive AI systems.

Transparent & Explainable by Design

Every decision made by our solution can be traced back to pre-programmed rules (e.g., "minimize travel time," "ensure continuity").

Explicit Logic: All constraints and scoring logic are explicitly configured and do not change post-deployment based on user input.
Reproducible: Outputs are consistent. The same input always yields the same optimized schedule.
Explainable: Users can analyze why a particular schedule was generated.

This aligns perfectly with the AI Act’s transparency considerations.

Human Implications & Risk Classification

Most use cases for schedule optimization fall into operational optimization (logistics, resource planning), which are generally not considered "High Risk" under the AI Act.

However, in HR applications that significantly affect workers' rights (like shift allocation), systems can fall under the high-risk category. CAIRE addresses this by design:

Human-in-the-Loop: CAIRE is a decision-support tool. It proposes schedules, but human planners always retain the ability to override decisions and give final approval.
Worker Well-being: The system is configured to respect union rules, rest periods, and fair distribution of work.
No Replacement: Our technology supports human planners; it does not replace human intuition and empathy.

Data Privacy & Sovereignty

Your data remains yours.

No Training on Customer Data: We do not use your data to train external generative models.
No Hidden Biases: Since no training data is used, there are no inherited biases from external datasets.
Non-Adaptive: The system does not self-modify post-deployment.

CAIRE 2.0: Enhanced Compliance & Transparency

The upcoming CAIRE 2.0 platform (planned for early 2026) will maintain and enhance all existing compliance measures while introducing new capabilities:

Enhanced Audit Trail: Comprehensive logging of all optimization decisions and data access with built-in revision system
Improved Explainability: Better visualization of why specific schedule decisions were made, with constraint violation reporting
GraphQL API: More granular access control with field-level permissions and improved query transparency
Advanced Data Minimization: New v2.0 data model with better control over what data is stored and processed
Same Compliance Foundation: All existing GDPR and AI Act compliance measures preserved and enhanced

Compliance Continuity

CAIRE 2.0 maintains the same deterministic, rule-based optimization approach. The enhanced architecture provides better audit capabilities and transparency while preserving the "no black box" principle that makes CAIRE compliant today.

Learn more about CAIRE 2.0 →

Built for Trust. Compliant by Design.