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 Requirement | Technical Implementation | Provider Compliance |
|---|---|---|
| Data Isolation | Google Vertex AI (Private Tenant) | SOC2, ISO 27001 |
| No Data Training | Explicit "Zero Retention" Configs | SOC2 Type II |
| Security Gateway | LiteLLM Proxy | SOC2, ISO 27001 |
| Observability/Audit | Langfuse Tracing | SOC2 Type 2 |
| Behavioral Safety | System-Level Prompt Guardrails | Internal AI Policy v1.0 |
Updated about 9 hours ago
