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Version: 8.1

Data privacy in Creatio Copilot

Level: beginner

Creatio does not have its own LLM (large language model) and does not train the LLM used in Copilot on Customer data. Creatio employees do not have access to customer data or Customer dialogues with Copilot.​

The LLM provider does not process customer data. LLM as software is hosted and operated on Microsoft Azure services in the USA (for the US customers) or Sweden (for EU and other regions) depending on your Creatio website location.

Creatio Copilot assists with compliance regarding user access permissions and restrictions.​

Read more about the LLM used in Creatio Copilot here: Data, privacy, and security for Azure OpenAI Service.

Creatio Copilot uses Customer Data for communicating with the LLM. This enables it to get clear and useful answers when you ask Creatio Copilot something. We call that data context.

Context is the information provided to the LLM. It helps the LLM to understand what is expected of it and ensures the accuracy and relevance of its responses.

Creatio platform uses 3 types of data as context:

  1. Page data. Creatio Copilot can request and utilize data from the page where you where are currently working.

  2. Message history. This is your chat history with Creatio Copilot. It helps the LLM to understand the context of previous conversations, enabling it to better interpret your requests and stay within the scope of a single query as long as you need it.

  3. Additional context from intents and business processes. If your intent has actions configured that use Customer Data as output parameters, Creatio Copilot can use this data to generate responses, trigger functions, etc.

Creatio Copilot does not have access to previous chat history if you have clear it or start a new conversation.

We strongly recommend using Creatio Copilot only for the issues related to your usage of Creatio services for the internal business purposes, as described in your agreement with Creatio.


See also

Creatio Copilot overview

Develop Copilot intents

Intent development recommendations