• Enable the system property to automatically record adaptive desktop actions during execution and reuse them for similar tasks.
• Automated recording captures your exact steps and converts them instantly into reusable skills.
• AI-powered search automatically suggests matching skills based on your current task.

• Review the AI agent's execution plan before it runs and pause execution to make manual adjustments at any time.
• Explicit user consent is required before the AI agent can access desktop, third-party services, and files.
• Monitor the live execution of adaptive desktop actions in the preview window.
• Refer the real-time status tracking that shows whether the AI agent is initiating, running, or paused.
• Take control of the execution where your input is needed.
• The AI agent batches consecutive actions into single execution calls where possible, minimizing round trips and reducing overall execution time.

Create policies and rules to control which resources AI agents can access.

• Policies: Collection of resource access rules that applies to a specific user group or set of users based on defined user criteria.
• Resource access rules: Specific restrictions controlling agent access to various resource types, such as files, folders, websites, and applications.
• Bi-directional policy-rule mapping: Link policies to rules from either the policy record or the rule record, enabling rule reuse across multiple policies.

• Request automations from Task Mining to automate desktop activities collected by the Task Mining agent.
• Generate automations in Automation Center to create on-screen and background desktop actions.
• From Automation Center, automatically create an AI agent that uses these desktop action tools.
• Test and deploy the AI agent in AI Agent Studio.

• Record on-screen task desktop actions using AI to automatically validate anchor positions and generate screen contexts at design time, reducing automation failures caused by fragile anchors at testing or runtime.
• Use a new role, sn_desktop_core.desktop_action_user that enables users to record desktop action with AI.
• Enable AI to analyze the recording in three stages: analyzing the recording, inserting anchors, and generating screen contexts by selecting Record with AI (recommended) in the Create desktop action dialog and finish recording.
• Identify AI-generated anchors and screen contexts that are marked with an AI badge in the properties panel. Each screen includes an editable screen context that helps AI agents understand the screen's intent at runtime.
• Regenerate screen context and anchor positions that don't meet your expectations by selecting Retry in the screen properties panel.
• Resolve anchor issues before activation by responding to the alert that appears when any screens have failed anchors in a desktop action recorded with AI.
• Reduce manual setup time by letting AI auto-fill the desktop action intent in the Action description field when you select the Record with AI option. An AI badge confirms that the description was filled by AI.
• Control whether Record with AI is the default recording option by configuring the new sn_desktop_core.record_with_ai property. By default, its value is set to true.

• Provide dynamic values, such as credentials and user-specific inputs to on-screen task desktop actions by creating Desktop action parameter records in your ServiceNow instance.
• Make a single stored parameter value available to all users by selecting the Shared field on a parameter record. When Shared is selected, the agent uses the one associated parameter value record, regardless of which user triggered the agent. Only a user with the sn_aia.admin role can create the parameter value record for a shared parameter.
• Encrypt all associated parameter value records by selecting the Mark As Sensitive field on a parameter record. The agent decrypts the value at execution time. For non-sensitive parameters, the value is passed to the agent as plain text.
• In the AI Desktop Actions client application, enable the Set Text and Send Keys step types to use parameters by selecting the Use parameter property.
• In AI Agent Studio, when you add an on-screen task desktop action tool that contains inputs configured for parameters, the Map parameters section appears. You can map inputs of on-screen task desktop actions to parameter records. These parameter values aren't exposed in agent instructions. Select a parameter record for each input to define the value the AI agent uses when executing the desktop action.

• Use the desktop action to automate dynamic steps that are determined by AI during execution.
• Install the ServiceNow Web Automation chrome extension for AI agent to interact with web applications.
• Use the default Web Automation Agent AI agent and Web Automation agentic workflow to automate repetitive tasks.
• See every click, keystroke, and scroll your AI agent makes in real time, with consent prompts before execution kicks off and timely warnings before your session expires.
• Pause a running AI agent, provide corrective input, and resume. The AI agent replans based on your instructions, keeping execution on the right track.

Select Skip intro to bypass the onboarding wizard and go to the home page. Select the Don't show this again option to prevent the wizard from appearing the next time you open the app. After completing the onboarding wizard, select Get started to start creating desktop actions.

Use filtering options to filter the inputs that are required.

• Show Inputs — Filters the screens with required input fields.
• Show All — Removes the filter and displays all screens.