AI Governance & Trust Overview

Xima LLC operates under a formal AI Tools Usage Policy designed to ensure that our AI integration is responsible, ethical, and secure.


Data Privacy & "No-Training" Guarantees

Our policy mandates strict compliance with data privacy laws like GDPR. We achieve this through our choice of infrastructure:

  • Reasoning (Google Vertex AI): We use Gemini models via the Google Vertex AI enterprise platform.
  • Data Isolation: Unlike consumer AI tools, Vertex AI contractually guarantees that customer data is never used to train global models and remains isolated within our secure instance.
  • Audio & Sentiment (Deepgram): Speech-to-text and sentiment analysis are handled by Deepgram’s proprietary models.
  • Zero Retention: We have configured these for zero data retention, ensuring voice data is processed in real-time and not stored or used for model training.

The Control Layer (LiteLLM)

To meet our policy requirements for Security and Safe Usage, we use LiteLLM as a centralized AI Gateway.

  • Security Guardrails: LiteLLM allows us to manage API keys centrally and enforce rate limits to prevent system abuse.
  • Standardization: It ensures that every request follows our internal security protocols before reaching the AI models.

Continuous Audit & Transparency (Langfuse)

Our policy requires Transparency and Explainability in how AI tools work. We utilize Langfuse as our primary observability and audit tool.

  • Full Audit Trail: Every AI interaction is "traced," providing a complete record of the prompt, the model's logic, and the final output.
  • Quality Monitoring: We use Langfuse to debug and monitor for accuracy, ensuring we meet our commitment to identifying and mitigating bias.

Operational Guardrails & Reliability

Beyond infrastructure, we enforce strict behavioral constraints at the prompt level to ensure the AI remains a specialized tool rather than a general-purpose chatbot.

  • Tool-Bound Logic: The AI is strictly limited to an authorized toolkit, such as verified Knowledge Base searches and specific skill transfers.
  • Scope Enforcement: The system is explicitly instructed to decline any tasks or questions that fall outside its provided capabilities or documented parameters.
  • Hallucination Mitigation: We prohibit the AI from using "external knowledge." It must rely solely on the verified information provided through its tools to ensure accuracy and prevent misinformation.
Policy RequirementTechnical ImplementationProvider Compliance
Data IsolationGoogle Vertex AI (Private Tenant)SOC2, ISO 27001
No Data TrainingExplicit "Zero Retention" ConfigsSOC2 Type II
Security GatewayLiteLLM ProxySOC2, ISO 27001
Observability/AuditLangfuse TracingSOC2 Type 2
Behavioral SafetySystem-Level Prompt GuardrailsInternal AI Policy v1.0