This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 6th of the new functionality in the Desktop flows section is use your voice to interact with Copilot.

The voice command functionality for Power Automate’s Copilot enhances productivity by allowing hands-free interaction for creating desktop flows. Users can dictate automation steps in natural language, streamlining the setup of complex workflows. This intuitive interface helps businesses automate repetitive tasks more efficiently, improving operational efficiency.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Feb 2025
General Availability: May 2025

Feature Details

The voice command functionality for Power Automate’s Copilot allows users to create and manage desktop flows using natural language spoken through a microphone. Users can turn on voice commands by pressing the microphone icon in the bottom right of the Copilot side cart and start dictating automation steps hands-free. To finish, users press the stop icon, and their prompt is automatically submitted to Copilot. This feature reduces manual input, saving time and effort, and enhances Copilot’s versatility and user-friendliness, contributing to improved productivity and streamlined operations.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 5th of the new functionality in the Desktop flows section is configure Entra hybrid join for hosted machine groups.

Microsoft Entra hybrid join using custom virtual networks (VNETs) with hosted machine groups allows your hosted machine group bots to enroll in both your on-premises Active Directory (AD) and Microsoft Entra ID. This feature is useful in scenarios where automation requires authentication using an AD account, or when devices need to be managed using Group Policy (GPO).

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Feb 2025
General Availability: May 2025

Feature Details

This feature provides support for joining hosted machine group bots to both on-premises Active Directory (AD) and Microsoft Entra ID when using custom virtual networks (VNETs).

• A custom virtual network (VNET) is configured using Azure Virtual Network. Access to the domain controller is required from the custom VNET.
  • A custom VNET allows you to access on-premises resources when running your automation.
• Microsoft Entra hybrid join is configured as part of Power Automate network connection setup.
  • Microsoft Entra hybrid allows your hosted machine group bots to enroll in both your on-premises Active Directory (AD) and Microsoft Entra ID.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 3rd of the new functionality in the Desktop flows section is configure and manage SLA with work queues.

Configuring Service Level Agreements (SLAs) for your work queues allows Power Automate to prioritize running work queue items that are close to the SLA deadline. It also allows Power Automate to highlight work queue items at risk of SLA breach and recommend actions to prevent SLA breaches.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Mar 2025
General Availability: Jun 2025

Feature Details

Work queues in Power Automate can play a crucial role in improving the efficiency, scalability, and resiliency of automation and help prioritize work.

This is how you can configure Service Level Agreements (SLAs) for work queues:

• Type of SLA
  • Time to live (TTL)
  • Business hours
• SLA engine
  • Prioritize work queue items that are nearest to the SLA deadline.
  • Identify work queue items at risk.
  • Monitor the state of SLAs for work queues.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 2nd of the new functionality in the Desktop flows section is use machine to credential mapping in desktop flow connections.

In many organizations, each machine must have a unique user session. This implies that they can’t use machine groups. A list of credentials allows them to use unique credentials for each of their machines. For organizations that want to use automations executed on agent machines, there’s no option to define mapping between machine(s) and agent(s). The list of credentials will allow an attended automation to the machine of the right agent.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Jan 2025
General Availability: Jun 2025

Feature Details

Allow customers to define lists of credentials and use them in the desktop flow connections. These lists allow customers to define which machine(s) can use these credentials. These lists can be used as login credentials in the desktop flow connections and will benefit from the same credential management feature, such as:

• Encryption and data protection
• Password rotation
• Application lifecycle management

During the public preview, only CyberArk credentials are supported for mapping.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 1st of the new functionality in the Desktop flows section is self-heal UI and browser automation actions at execution with AI.

This feature is for Power Automate for desktop users that automate UI and web interaction scenarios. It improves success rates and handles cases where UI elements can’t be found.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview:  Dec 12, 2024
General Availability: Apr 2025

Feature Details

Once enabled by users, the feature uses AI to locate elements on the screen at the execution time. The repaired selector is used in future executions. Plus, it’s optional and can be disabled if you prefer.

• Self-healing refers to the case that a UI element cannot be found at the execution time.
• Self-healing can be applied only for UI and web automation scenarios, and subsequently for Desktop and web UI elements.
• With self-healing, Power Automate for desktop can detect UI elements on the screen.
• When a UI element and its selector are retrieved, the user must confirm to heal and save.
• This feature can be disabled by the user.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 1st of the new functionality in the Copilot for Power Automate section is troubleshooting Copilot in cloud flows Designer.

Copilot now contains the capability to provide remediation guidance to flow errors and offer to fix them for you. You can accept the changes or revert to the original and modify the flow as desired.

Enabled for: Users by admins, makers, or analysts
Public Preview: Feb 2025
General Availability: Jun 2025

Feature Details

The Troubleshooting Copilot can assist users with a new feature that can rectify errors in your cloud flow. These corrections are based on issues that arise during authoring and debugging and can be implemented to amend your flow within the Power Automate designer.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 4th of the new functionality in the Cloud flows section is create and edit expressions with Copilot.

You can create, edit, and fix your Power Automate expressions by expressing your requirements in natural language. You can save a lot of time building expressions manually by invoking Copilot through this feature.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Jan 2025
General Availability: May 2025

Feature Details

Prior to this feature, you needed to write complex expressions in your cloud flows in Power Automate to process data, do conversions, manipulation, or comparison. With this feature, you can create complex expressions or edit your existing expressions simply by submitting natural language prompts to Copilot in Power Automate.

You need Copilot access in your tenant to use this feature. Turning off Copilot turns off this feature, too.

Continue reading “New Functionality In Microsoft Power Automate 2025 Wave 1: Create and Edit Expressions with Copilot”

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 3rd of the new functionality in the Cloud flows section is generate process maps For multi-flow automations.

This feature visualizes end-to-end process dependencies, reduces troubleshooting time, and simplifies navigation through automation logs and connections, leading to quicker issue resolution and improved operational efficiency.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Mar 2025
General Availability: Sep 2025

Feature Details

View and manage all flow-dependencies involved in your multi-flow process. Parent/child flows, desktop flows, and work queues are all visualized through the new process map management experience.

End to end observability through a process-centric view of all automation logs allows you to do the following:

• Easily perform impact analysis of failing sub-flows.
• Efficiently navigate between flow run logs, credentials, and connections.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 2nd of the new functionality in the Cloud flows section is create a flow on a file in Teams.

This feature allows you to create a flow on a file in Teams using one of the templates that are available to be done to a file. You can also use AI to create your flow from scratch.

Enabled for: Users, automatically
Public Preview: –
General Availability: May 2025

Feature Details

This feature allows you to set up and use workflows in Teams on files. You can create a flow on a file in the overflow menu of the Workflows app. Improve your productivity by using one of the templates that are available to be done to a file, or by using AI to create your flow from scratch.

This post is part of the New Functionality In Microsoft Power Automate 2025 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2025 Wave 1.

The 1st of the new functionality in the Cloud flows section is create generative actions in cloud flows.

Instead of building out complex rules-based processes from beginning to end, you work with AI to inject intelligent activity orchestration from your cloud flow. You create intent-based generative actions where the large language model (LLM) considers all the resources available to it and dynamically selects the most appropriate actions and sequence of these actions to achieve the desired outcome. This allows for more dynamic automation and saves you time.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview:  Dec 11, 2024
General Availability: Apr 2025

Feature Details

Generative actions use generative AI reason over unstructured content and determine what steps and sequences it needs to achieve a process outcome based on instructions and parameters provided by you in natural language.

Building a generative action within cloud flows involves the following steps:

• Describe the objective of your process in natural language, and let AI develop an automation plan to achieve it.
• Refine the automation plan generated by the large language model (LLM) and adjust inputs, outputs, and variables as needed.
• Add reference sources and guidelines in natural language that influence the LLM as it executes the flow.
• Validate the intelligent action by reviewing how it is achieving the business objective prior to moving the flow into production.
• Review production run history, analytics, and individual flow run details to ensure your process is performing to expectations.

The ability of generative actions to easily incorporate both structured and unstructured data makes it flexible as information resources are updated. Its reasoning abilities make generative actions uniquely beneficial in the building and maintenance of complex process flows to handle conditions, exception management, and process loops.