Frends LLM Code Generation allows users to generate C# code directly within Frends' integration processes by using natural language prompts. This feature streamlines the process of creating "Code Shapes" — specialized process steps in the Frends environment — by allowing developers to simply describe the code function they need, such as “convert input to Hex,” and receive the code directly from an integrated LLM (Large Language Model) service.

This capability connects with Azure’s OpenAI, enabling secure and context-aware coding tailored to the user's environment, with each Frends tenant running a dedicated instance for added security​​.

Frends AI Task Configuration allows users to set up and configure AI-driven tasks within integration processes. This feature, available in Frends 6.0, enables a process to use various data sources as inputs for an AI task, which can leverage AI models from the Azure AI catalog.

Key aspects of AI Task Configuration include:

1. AI Model Selection: Users can choose specific AI models (such as models in the Azure AI catalog) that suit their process needs.
2. Dedicated Vector Database: Businesses can integrate their data with a vector database, ensuring AI tasks are contextually aware of specific organizational data, enhancing relevance and security.
3. Process Integration: The AI task can be seamlessly integrated as a part of a broader process, making use of Frends' low-code platform for simplified configuration.
4. Configuration Flexibility: The AI task configuration includes setting up prompts and environment variables, enabling context-sensitive AI interactions that adapt to the process requirements​.

Operator AI in the Frends platform is a feature that leverages AI to support and enhance operational decision-making and monitoring within integration processes. By embedding AI-driven insights and automation into the operational layer, Frends’ Operator AI helps streamline tasks that would traditionally require manual oversight, such as monitoring, alerting, and intelligent decision-making.

Operator AI integrates seamlessly with Frends’ low-code platform, ensuring that these AI-driven enhancements are configurable, flexible, and secure, tailored to each organization’s operational needs.

Frends LLM Documentation is a feature that enables automatic generation of process documentation using a Large Language Model (LLM). This feature simplifies the documentation process for integrations by allowing users to generate descriptions and technical documentation directly from within the Frends platform, based on the design of each process.

Key aspects of LLM Documentation include:

1. Automated Documentation Generation: With a single click, Frends can create an initial draft of the documentation based on the structure, variables, and tasks used in the integration process.
2. Dynamic Updates: As integration processes evolve, the documentation can be updated automatically, reducing the need for manual edits and ensuring that documentation stays aligned with the latest process design.
3. Refinement Through Prompts: Users can refine the generated documentation by providing additional prompts or instructions, allowing the LLM to enhance specific details or clarify complex sections.
4. Consistency Across Processes: By standardizing documentation through LLMs, organizations can maintain consistent, high-quality documentation across all integration workflows, aiding in easier onboarding and process understanding.

Decision Model Notation (DMN) is a standardized modeling language used to represent and automate decision-making logic in a clear, structured format. DMN helps bridge the gap between business rules and technical implementation by providing a visual and standardized way to document and manage complex decision logic.

In Frends, DMN (Decision Model and Notation) can be utilized to automate decision-making within integration workflows by embedding business rules directly into the integration processes. This helps organizations consistently apply logic, streamline decision flows, and maintain transparency across automated tasks.

Using DMN within Frends enhances process automation by embedding clear, maintainable decision logic directly into workflows, supporting dynamic, rule-based automation.

Frends AI pricing is based on the AI Sessions. Each tier includes a certain amount of AI Sessions per month. Admin users can purchase more AI sessions if needed. ​

​AI session count is reset at the beginning of the month. ​

Included AI Sessions in Frends Tiers:

• Startup – 15
• Business – 200
• Enterprise – 750
• Infinite – 750 (or per quote)

Yes. Business, Enterprise, and Infinity Tiers allow extensions of AI-Sessions. AI sessions are sold in packages of 500 sessions extra per month. One customer may purchase several AI-Sessions packages in packs of 500 per month. ​

The price of 500 extensions is ​390€ per month.

An AI session is a discussion between a user and LLM AI within development or a single request-response pair during process execution. For example, during implementation, 1-5 questions are usually considered a single session. A longer discussion might consume more than one session.​

The user is shown the consumption in a live manner in the Frends platform.​