> For the complete documentation index, see [llms.txt](https://docs.fivesigmalabs.com/90QdzjlkkzeSKsiP9PE0/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fivesigmalabs.com/90QdzjlkkzeSKsiP9PE0/security-and-compliance/ai-and-automated-processing-safeguards.md). # AI & Automated Processing Safeguards AI functionality in Five Sigma is designed to assist users, not replace human decision-making or override governance controls. ### Purpose of AI Features AI and automated capabilities in Five Sigma are intended to: * Improve efficiency in claim handling * Assist users with information retrieval and summarization * Support consistent execution of operational tasks AI features operate within the boundaries defined by system configuration, user permissions, and customer instructions. ### Scope of Data Access AI-assisted features access only the data required to perform their intended function. Key principles include: * AI operates within the same permission profiles as the user invoking it * AI does not access data beyond the user’s authorized scope * AI respects Organization and Sub-Organization boundaries. It can only access data within its sub-organization and based on the user's scope. AI does not create new access paths to customer data. ### Human-in-the-Loop Controls AI functionality in Five Sigma is human-supervised. This means: * Users remain responsible for decisions and actions * AI-generated outputs are presented for review * Critical actions (such as payments, approvals, or configuration changes) require explicit user authorization AI does not independently approve, execute, or finalize regulated or financial actions. ### Data Usage and Processing Customer data processed by AI features is handled in accordance with: * The Data Processing Addendum (DPA) * Applicable data protection laws * Customer configuration and instructions Customer data is not used for purposes outside of service delivery. ### Model Training and Data Isolation AI features in Five Sigma are designed to protect customer data. * Customer data is logically isolated * Customer data is not shared across tenants * AI processing does not expose one customer’s data to another * Customer's data is not used for training any underlying generally available LLM model Any use of data for system improvement follows contractual and legal requirements. ### Logging and Auditability AI-assisted interactions are subject to the same logging and monitoring controls as other platform activities. This supports: * Traceability of actions * Audit and compliance requirements * Investigation of unexpected behavior ### Security Controls AI functionality operates within Five Sigma’s existing security framework, including: * Access control and authentication * Monitoring and logging * Incident response procedures AI features do not bypass or weaken existing security controls. ### Customer Responsibilities Customers are responsible for: * Enabling or disabling AI features according to organizational policy * Assigning appropriate permissions to users * Reviewing AI-assisted outputs before acting on them * Ensuring AI usage aligns with internal governance and regulatory obligations ### Transparency and Control Five Sigma is committed to transparency in how AI features operate. Customers retain control over: * Whether AI features are enabled * Which users may access them * How outputs are used within their organization --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fivesigmalabs.com/90QdzjlkkzeSKsiP9PE0/security-and-compliance/ai-and-automated-processing-safeguards.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.