Privacy & Responsible
AI Governance

Last Updated: August 2026

Enterprise AI Data Privacy Policy

At Starling Elevate, protecting customer data is fundamental to how we design, develop, and deliver AI-powered solutions. We collect only the information necessary to provide our AI development, AI integration, intelligent automation, Generative AI, OCR, and related technology services.

Information provided to us is processed solely for delivering requested services, maintaining operational reliability, supporting customer communication, and improving service delivery where appropriate. Our data handling practices are designed to align with applicable privacy laws, internationally recognized data protection principles, and responsible AI governance.

LLM Data Protection & Model Governance

Protecting customer information is a core principle of our AI governance framework. Business data, prompts, uploaded documents, knowledge bases, and AI-generated outputs remain the property of our customers.

Unless explicitly agreed to in writing, Starling Elevate does not use customer data, prompts, business documents, or generated outputs to train publicly available AI models. We implement appropriate data handling practices designed to safeguard customer information throughout project delivery and platform operations.

Information We Retain

To support our services, we retain only the information reasonably required for business operations, customer support, and service management, including:

• •Authorized business contact names and organization details
• •Business email addresses and contact information
• •Project communications and support requests
• •Service usage information and operational logs
• •Billing, invoicing, and account-related records where applicable

We do not intentionally collect or retain unnecessary personal or sensitive information beyond what is reasonably required to deliver our services.

Enterprise AI Security & Safe Handling

Starling Elevate follows enterprise security practices to help protect customer information during storage, processing, and transmission. Our AI solutions are developed with security, reliability, and responsible AI governance in mind to reduce operational risk and help safeguard business data.

Our data protection practices include:

• •Encryption for data in transit and, where applicable, data at rest
• •Role-based access controls (RBAC) for authorized personnel
• •Secure cloud infrastructure and controlled access management
• •Continuous security monitoring and system logging
• •Responsible AI governance and risk-aware operational practices

While we implement reasonable administrative, technical, and organizational safeguards to protect customer information, no method of electronic transmission or storage can be guaranteed to be completely secure.