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22 docs tagged with "AI Agent"

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Configure AI Agent

A crucial aspect of installation and further support is implementing an AI Agent (or AI Digital Worker) so that you can change any setting outside of the implementation code without recompiling, updating, or re-deploying your AI Digital Worker. Typically, this is achieved by making your configuration external to the source code.

Implement Analytics for AI Agents

For AI Agent or (AI Digital Worker) implementation, ODF 2 employs a standardized extendable Data Model. The model features a list of tables with dynamically defined names and specified naming conventions, enabling ETL (extract, transform, load) procedures to manage data properly. All pre-defined columns in these tables are set to be processed by WorkFusion Analytics automatically.

Migrate AI Agent to Control Tower

The instruction provides guidance on how to make automations you develop appear in Control Tower as an instance of a new AI Agent entity.

ODF 2

Major technical concerns of AI Agent delivery

Orchestrate AI Agent

The instruction describes running, stopping, and scheduling Business Processes based on the ODF 2 example project.

Package AI Agent Asset Bundle

The article describes an AI Agent Asset Bundle. For details on the structure of an AI Agent Variation Asset Bundle, refer to Package assets into AI Agent Variation Asset Bundle.

Package assets into AI Agent Asset Bundle

The article describes an AI Agent Asset Bundle. For details on the structure of an AI Agent Variation Asset Bundle, refer to Package assets into AI Agent Variation Asset Bundle.

Run integration tests with Spoke

Spoke is a tool for end-to-end Business Process testing. It provides fluent APIs for a developer to achieve typical testing goals. The framework is built on the JUnit 5 + AssertJ ecosystem, but the core module does not depend on it and can be used as a pure Java library.

Run integration tests with Spoke

Spoke is a tool for end-to-end Business Process testing. It provides fluent APIs for a developer to achieve typical testing goals. The framework is built on the JUnit 5 + AssertJ ecosystem, but the core module does not depend on it and can be used as a pure Java library.

Set up AI Agent configuration wizard

The Work.AI platform provides a framework that allows users to configure an AI Agent (or AI Digital Worker, AI DW) without any additional knowledge about its implementation.

Version Data Model

You can version Data Stores that make your Data Model just like all other Assets of your project. However, increasing a Data Model version each time you release a new AI Agent version means that your Work.AI platform environment ends up having many Data Store instances.

View Work.AI Developer capabilities

Work.AI Developer (previously Intelligent Automation Cloud Developer or IA Cloud Developer) is a part of the Work.AI platform and provides a unique automation environment to evaluate, learn, design, create, and support automation projects.

Work with Transactions

To illustrate how user Transactions are created and processed, let's simulate a simple scenario for a Business Process (BP) consisting of two Bot Tasks: