Automator AI

Automator AI is a generative AI-powered automation development product from Automation Anywhere. Automator AI applies generative AI to simplify and accelerate the automation lifecycle. Powered by the Process Reasoning Engine (PRE), it helps developers go from process discovery to deployed automations in days. Automator AI supports enterprise goals of expanding the depth and breadth of automation deployments by reducing development time, increasing developer productivity, and boosting ROI. Automator AI also enables the development of self-healing automations that anticipate underlying application changes to constantly auto-adjust post-launch.

Automator AI is an automation development product; Automation Anywhere offers CoE Managerto deliver real-time insights into automation performance. CoE Manager is purpose-built to enable automation leaders to govern, track, and measure automation program performance with full visibility and management control over the entire automation lifecycle, delivering as-it-happens insights into automation performance and ROI.

Yes, Automator AI assists automation developers within large enterprises to accelerate automation initiatives. For large enterprises, the Automator AI capability to import BPMN documentation, workflow documentation, or process mappings from any mining tool is particularly relevant. Based on enterprise process documentation and leveraging generative AI, Automator AI creates logical, API-driven automations. This helps large enterprises scale automation initiatives by enabling teams to act on every automation opportunity.

Automator AI creates logical, API-driven automation workflows that align with each organization's unique user access controls and compliance and governance requirements. Automator AI assists developers in leveraging the entire ecosystem of enterprise system and third-party application integrations, including limitless API connections. Automations built with Automator AI utilize an enormous library of pre-built packages for actions across core business applications, iPaaS integrations, and API tasks—for flexible, no-code automation process composition at scale.

No, users do not need to know how to code to use Automator AI. The suite empowers a wide range of users, including business users and citizen developers with no coding backgrounds, to build automations alongside professional developers.

Automator AI achieves this with features that translate plain English into automation logic. For example, Automation Co-Pilot for Automators allows users to describe their goals in natural language to create and update automations. The "Suggest next actions" feature provides real-time, contextual recommendations for the next best step in a process. Autopilot can instantly generate an automation structure from a business process diagram. For full details on capabilities, take a look at Automator AI documentation.

Yes, Automator AI is designed to build complex and robust enterprise-grade automations that go beyond simple tasks. The AI-powered tools are built to assist developers and business users in constructing workflows that incorporate conditional logic, loops, and sophisticated decision paths right from the start.

Using Automation Co-Pilot for Automators, for example, a developer can describe their requirements in natural language to implement conditional branching with "if/else" actions or apply recursive logic using "for" and "while" loops. The underlying Process Reasoning Engine (PRE) enhances this by automatically applying development best practices, such as the proper structure for exception and error handling, as the automation is being created.

This capability ensures that automations are not only built faster but are also more resilient and reliable. By making it easier to embed complex logic and proper error handling, Automator AI helps developers create solutions that can manage real-world process variations, leading to more robust and scalable automation programs. For full details on capabilities, take a look at PRE documentation.

Autopilot and Automation Co-Pilot for Automators serve distinct but complementary roles. Autopilot gives you a head start by transforming entire business process documents, such as a BPMN or PDD file, into a foundational automation outline. From there, Automation Co-Pilot acts as an interactive assistant within the editor.

Using Autopilot for the initial structure and Automation Co-Pilot for the iterative development work allows teams to move from a process map to a finished automation much faster.

Suggest Next Actions is a generative AI feature built directly into the Bot Editor that accelerates development by providing real-time recommendations for your workflow.

It helps users overcome the challenge of finding the right actions and putting them in the correct sequence by analyzing the existing steps in an automation. This contextual understanding allows it to intelligently suggest the most probable next actions from the library of packages available within the platform.

For example, after a developer adds the "Open" action for an Excel file, the feature recognizes the context and might recommend subsequent actions like "Loop through each row" or "Get cell value." The developer can add these suggestions instantly, knowing they are both context-aware and compliant.

The feature is tied to the platform’s governance framework. It will never suggest an action from a package the user is not permitted to access due to their role-based access control (RBAC) settings.

For security, the system uses only automation metadata—not your business data—to generate recommendations and is available exclusively on Cloud Control Room instances.