FixAI is built as a neutral decision infrastructure. This page outlines our safety principles, data posture, and governance approach for enterprise and regulatory discussions.
These principles guide product design, enterprise deployments, and partner integrations.
FixAI provides guidance, not final diagnoses or transactional decisions. Outputs are advisory, contextual, and include explicit disclaimers.
FixAI does not rank vendors by commission or commercial incentives. Recommendations focus on tradeoffs, verification steps, and uncertainty reduction.
Decisions include “why” factors and follow-up questions. This enables review, audit, and user understanding.
FixAI follows data minimization and enterprise-aligned privacy practices.
FixAI operates without requiring personal identifiers by default. Device context and issue descriptions are sufficient for most decisions.
API deployments allow partners to manage retention, anonymization, and logging policies based on jurisdiction and internal requirements.
FixAI does not build user behavioral profiles or monetize interaction data.
FixAI is designed to support internal governance and external review.
FixAI explicitly avoids medical, legal, or financial determinations. Domain boundaries are enforced at product and policy levels.
Enterprise plans can enable decision logs, policy versioning, and structured summaries for review and compliance reporting.
Operational incidents are communicated with impact, mitigation, and prevention notes — without assigning blame.
FixAI positions itself as a decision-support infrastructure, not an authority.
FixAI does not replace certified professionals, authorized service providers, or statutory decision-makers. Outputs are intended to reduce uncertainty and improve informed consent before transactions occur.
Enterprise partners remain responsible for final service execution, regulatory compliance, and customer outcomes within their jurisdictions.