DIAL for Agentic Workflows

DIAL enables creation of agents to execute business functions traditionally performed by people. You can equip your agents with a wide variety of tools and use them as building blocks to create custom and task-oriented workflows.

DIAL streamlines creation of agents with comprehensive SDKs and no-code tools.

DIAL provides flexibility to the definition of a tool. You can leverage applications and AI models deployed in DIAL as tools in your workflows. The platform also enables the usage of external services such as MCP servers and REST APIs as tools.

DIAL supports various tool authentication scenarios and enables seamless re-use and interoperability of tools through open protocols like MCP and A2A.

DIAL includes powerful pre-built cross-cutting tools such as DIAL RAG and Code Interpreter, which enables execution of AI-generated Python code in a controlled and safe environment.

DIAL is an open-ended platform that integrates with other systems, enabling interoperability of agents. You can seamlessly use DIAL agents and tools in process automation systems like n8n, Power Automate or Apache Airflow.

Integrate with your agents created on other platforms such as MS Copilot or Google Agentspace and use them in your agentic workflows in DIAL.

DIAL Quick Apps is a no-code agents orchestrator that simplifies the creation of multi-agent workflows, similar to OpenAI GPTs.

Using the Quick Apps 2.0 UI editor, end-users can easily design apps by combining tools and agents as building blocks—no coding is required.

DIAL supports integration of human-in-the-loop UI components (like adaptive cards, buttons, forms, check boxes etc.) into agentic workflows, to include an explicit consent or an action from a user as a condition for any AI-powered actions.

DIAL provides full-scale governance and control over the entire system, offering granular observability, cost management, access control policies, and advanced monitoring tools. You get access to all the intelligence related to your tools and agents, enabling comprehensive tracing and auditing at every level for data-driven decisions.

DIAL enables you to collect evidence, evaluate agent performance in a playground, and holistically analyze workflows to identify inefficiencies or opportunities for improvement. Agents and tools can be tested back-to-back and replaced with more productive alternatives, empowering continuous optimization.