6.2 Chat based UI and Service workflow configuration

This topic provides information about chat-based UI and service workflow configuration used to set up user interfaces and service processes through conversational interactions.

Figure 6-2 AI Design and Service workflow

Description of "Figure 6-2 AI Design and Service workflow"

The second AI-driven capability in OFS is chat-based service and UI creation with automated configuration, designed to minimize manual steps and accelerate end-to-end setup. Instead of separately defining a service, creating DTO fields, building a UI, and then performing field-by-field mapping, users can describe their requirements in a conversational chat flow. The user’s primary task is to specify the service they want to create and define the necessary DTO field structure through the chat interface (for example, listing the fields, their data types, and any key attributes required for the use case).

Based on this information, the AI automatically generates the service artifacts and creates a corresponding UI that is aligned with the service definition. The generated UI includes the required input components for the DTO fields (for example, text inputs for string fields, number inputs for numeric fields, and date inputs for date fields), providing an immediately usable form-like screen. In addition to creating the UI structure, the feature also performs automatic mapping, linking each UI element to its respective DTO field so that data entered on the screen is correctly bound to the service payload for downstream processing and persistence.

By automating both creation and configuration, this capability reduces repetitive work, lowers the chance of mapping or configuration errors, and helps maintain consistency between the backend service contract and the front-end experience. It enables users to move more quickly from an initial requirement to a functional service-and-UI implementation that can then be refined or extended as needed.