AI Assurances

Data Security, Privacy & IP Protection:

Zappi adheres to ISO 42001:2023 standards with robust security controls, encryption, and logical data segmentation. Client data is never used to train models, safeguarding IP and privacy. We provide assurances to remain compliant with all relevant laws and regulations. Comprehensive incident response and monitoring ensure ongoing data protection. More on our trust portal here.

Ethical Compliance & Bias Mitigation:

Zappi’s Responsible AI practices align with leading global standards (NIST, ISO) to ensure fairness, transparency, and accountability. Where applicable, we involve human oversight to validate model outputs, preventing unethical or undesired outcomes. Bias is addressed through data sampling, weighting, and preprocessing steps. Hate, abuse, and profanity (HAP) filtering is applied both to the data inputs and generated outputs, ensuring that any sensitive or harmful content is removed or flagged. Zappi’s confidentiality measures and compliance with privacy regulations ensure that personal or sensitive data remains secure and only used appropriately.

Model Performance & Reliability:

Zappi’s AI capabilities leverage proven machine learning (ML) algorithms such as XGBoost or MLP as well as trusted third-party Large Language Models (LLMs). We measure model performance using industry-standard metrics like F1, AUC, MAE, and MAPE, and employ continuous integration practices to detect and prevent degradation over time. Before deploying any in-house models, we subject them to stress-testing and, where applicable, conduct red-team exercises to identify potential vulnerabilities. For supplier-provided models, we rely on their documented testing and assurances, thoroughly reviewing their reliability as part of our due diligence process with our current suppliers being Azure GPT and OpenAI for self-serve Concept Creation Agents and Concept Lab workshops.

Transparency, Safety & Explainability:

Zappi leverages supplier transparency tools, maintains an AI Use Case Register, and filters both inputs and outputs for inappropriate content. While we currently do not offer direct client-integrated filtering, we adapt as needed to evolving standards and client requests.

Cost-Effectiveness, Scalability & Adaptability:

Zappi’s AI capabilities are generally included in standard subscriptions, and under separate terms, Zappi also may offer workshops and non-standard features where a customer has specific needs or custom requests. Retrieval-Augmented Generation techniques optimize performance and manage costs. We follow Market Research Standards, and our Data Science and Responsible AI teams continually refine solutions, staying ahead of industry changes.

Model Decommissioning & Data Protection:

Upon contract termination, Zappi securely decommissions models without retaining client-specific data. The solution is designed with strict adherence to data compliance standards, ensuring that no client data is used in training. This approach mitigates intellectual property risks and compliance concerns, building trust and delivering peace of mind across the entire solution lifecycle.