Orin FAQs

Is my account data used to train the model?¶

No. Your data, including metadata and aggregated data, is only available to answer your own requests to Orin.

Can I disable AI features?¶

Yes. Your system administrator can toggle the feature switch in Application Settings to disable Orin.

Can admins monitor AI usage?¶

No. System administrators don't have visibility of AI usage.

What third-party models are involved?¶

Orin uses Azure AI OpenAI. The models currently used are gpt-4o-mini, text-3-embedding-large, and text-embedding-ada-002, but these may change as testing, performance, and processing requirements dictate.

Where and how is my data processed?¶

Orin uses a Large Language Model (LLM) to understand your requests and generate responses.

When using the LLM, Orin sends your message plus instructions on how it should be processed. Depending on the message, some information about your system may also be sent to provide accurate, context-aware answers.

Orin uses two vector databases:

• Apteco software information — contains documentation about Apteco software, prepared by Apteco during Orin's base training
• Your system metadata — contains metadata from your Apteco system to provide dataset-specific information

Where your data is stored¶

Your vector databases remain within your Apteco system environment (Apteco Cloud, Partner Data Centre, or on-premise). Orin uses the Apteco engine to prepare and manage metadata and aggregated results, ensuring personally identifiable information (PII) stays within your Apteco environment and is not transferred to the LLM.

What is sent to the LLM¶

LLM processing occurs in the EU Data Boundary through Azure OpenAI Data Zones.

System metadata¶

The LLM receives:

• Variable names and descriptions
• Table structure and relationships
• Aggregated data (counts, sums, averages)
• Dashboard configuration metadata

User-controlled content¶

No PII is sent to the LLM, unless you explicitly include it in:

• Your request text
• Audience names or dashboard tile titles
• Dashboard cube or chart tile dimensions (for example, using email addresses as chart labels)

It would be odd for a user to do this, but if you include PII in these ways, that data will be sent to the LLM as part of your request.

Data flows between Orin and Microsoft Azure within the EU data boundary¶

%%{init: {'themeVariables': {'fontSize': '20px'}, 'flowchart': {'padding': 20}}}%%
flowchart LR

subgraph Client
    Browser["Web Browser\nOrin Chat UI"]
end

subgraph AptecoCloud["Apteco Cloud or Client Network"]
    subgraph "APIs"
        OrbitAPI["Orbit API"]
        ChatAPI["Orin Chat API"]
    end
    JobQueue["Job Queue"]
    subgraph "FastStats Service"
        MySystem["My system"]
    end
end

subgraph AzureAI["Microsoft Azure (EU Data Boundary)"]
    AIProxy["AI Proxy"]
    OpenAI["OpenAI LLM\n(EU Data Zone)"]
    Licensing["Licensing & AI info"]
end

Browser --> OrbitAPI
Browser --> ChatAPI
OrbitAPI --> ChatAPI
ChatAPI --> OrbitAPI
OrbitAPI --> JobQueue
JobQueue --> MySystem
ChatAPI <--> AIProxy
AIProxy --> OpenAI
OpenAI --> AIProxy
AIProxy --> Licensing

Processing by deployment type¶