New Functionality In Microsoft Power Automate 2024 Wave 1: View Attended Desktop Flow Runs Using Picture-in-Picture Execution Mode

Power AutomateThis post is part of the New Functionality In Microsoft Power Automate 2024 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2024 Wave 1.

The 9th of the new functionality in the Desktop Flows section is view attended desktop flow runs using picture-in-picture execution mode.

The flow run does not interfere with the user’s work on the machine as makers can run attended desktop flows in a virtual window that replicates the main desktop.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Feb 2024
Early Access: –
General Availability: Apr 2024

Feature Details

Makers can trigger attended and local attended desktop flows within an isolated Windows session in picture-in-picture mode. You can trigger the picture-in-picture mode through the Power Automate console, or through the desktop flows connector.

Click to show/hide the New Functionality In Microsoft Power Automate 2024 Wave 1 Series Index

New Functionality In Microsoft Power Automate 2024 Wave 1
Use Generative AI to Achieve a Process in AI Flows
Receive Intelligent License Recommendations for Admins
Be More Productive with Power Automate and Excel Desktop
View a Power Automate Visual in a Power BI Report
Monitor Performance for Cloud and Desktop Flow Activities
Connect to Other Environments from the Microsoft Dataverse Connector
Push Cloud Flow Execution Data into Application Insights
Use Your Own Encryption Key for Encrypting Data At-Rest for Existing Environments
Create Power Automate Flows in Excel
View Two Action Properties Panes Simultaneously
Use Undo and Redo While You Build Cloud Flows in the Designer
Use Copy-Paste for Container Actions Like Scope, Condition, and Apply to Each
Use a Simplified OData Editor in Actions like Get Items and Get Files
Manage Unpublished Solution-Aware Cloud Flows Using Admin APIs
Cancel all Flow Runs for a Version of a Flow
Create a Flow on a File in Teams
Cloud Flows are Automatically Defined in Dataverse Solutions
Use Workflows on Calendar Events in Teams and Outlook
Create AI Flows in Power Automate
Use Copilot with French Language
Recommendations to Reassign Orphaned Cloud Flows
Generate Descriptions for Cloud Flows using AI
Use Flows with Connections from Users in Copilot Studio
Use Process Mining Microsoft 365 Personal Recommendations
Create and Edit Expressions with Copilot
Get Quick Insights and Recommendations in Copilot for Process Mining
Troubleshoot with Copilot for Cloud Flows Execution
Automate With Ease Using the AI Recorder
Enter into a Conversation-first Copilot Experience to Build Flows
Transform Scripting Using AI-driven Natural Language
Maximize Your Productivity with Generative Answers
Streamline Workflow Creation with the Next Best Action
Generate Flow Description Using AI
Use Natural Language to Create a Flow in Teams
Leverage Desktop Automation with the Power Automate Plugin for Windows Copilot
Set Up Fallback UI Automation Mechanism
Power Fx Integration with Power Automate for Desktop
Use Power Platform Connectors in Power Automate for Desktop Actions
Use CyberArk Credentials in Desktop Flow Connections
Use Azure Key Vault Credentials in Flow Connections
Connect Your Own Virtual Network with Hosted Machine Group
View Attended Desktop Flow Runs Using Picture-in-Picture Execution Mode
Self-heal UI and Browser Automation Actions at Execution with AI
Use the Run Power Fx Expression
Use Python v3 in Power Automate for Desktop
Use Machine to Credential Mapping in Desktop Flow Connections
Create a Reusable Collection of UI Elements
Use Customer-managed Encryption Key for Hosted RPA
Automation Center to Monitor and Manage All Your Automations and Related Assets
Trigger Attended Desktop Flows in Picture-in-Picture
Use Copilot in Automation Center to Analyze Cloud Flow Runs
Trigger Attended Desktop Flows in Picture-in-Picture Mode Through the Power Automate Console
Use Copilot in Automation Center to Analyze Desktop Flow Runs
Use Copilot in Automation Center to Analyze Work Queue Data
Use Copilot in Automation Center to Ask Power Automate Product Questions
Use New Data Table Actions
Use New Excel Actions in Power Automate for Desktop
Use the New Desktop Flow Running Timeout Property
Ingest Process Data from Customers' Data Lake
Scale Faster with Power Automate Process Mining Thin Client App

New Functionality In Microsoft Power Automate 2024 Wave 1: Connect Your Own Virtual Network with Hosted Machine Group

Power AutomateThis post is part of the New Functionality In Microsoft Power Automate 2024 Wave 1 series in which I am taking a look at the new functionality introduced in Microsoft Power Automate 2024 Wave 1.

The 8th of the new functionality in the Desktop Flows section is connect your own virtual network with hosted machine group.

Users can run desktop flows using a hosted machine group connected to their own virtual network (VNet) in order to execute RPA jobs that require access to on-premises networks.

Enabled for: Admins, makers, marketers, or analysts, automatically
Public Preview: Mar 2024
Early Access: –
General Availability: Apr 2024

Feature Details

Users can now seamlessly integrate a hosted machine group (HMG) with their own VNet. This integration enables users to run desktop flows and execute RPA jobs that require access to on-premises networks. By leveraging their own VNet, users can ensure secure and reliable connectivity between the hosted machines and the on-premises networks.

Click to show/hide the New Functionality In Microsoft Power Automate 2024 Wave 1 Series Index

New Functionality In Microsoft Power Automate 2024 Wave 1
Use Generative AI to Achieve a Process in AI Flows
Receive Intelligent License Recommendations for Admins
Be More Productive with Power Automate and Excel Desktop
View a Power Automate Visual in a Power BI Report
Monitor Performance for Cloud and Desktop Flow Activities
Connect to Other Environments from the Microsoft Dataverse Connector
Push Cloud Flow Execution Data into Application Insights
Use Your Own Encryption Key for Encrypting Data At-Rest for Existing Environments
Create Power Automate Flows in Excel
View Two Action Properties Panes Simultaneously
Use Undo and Redo While You Build Cloud Flows in the Designer
Use Copy-Paste for Container Actions Like Scope, Condition, and Apply to Each
Use a Simplified OData Editor in Actions like Get Items and Get Files
Manage Unpublished Solution-Aware Cloud Flows Using Admin APIs
Cancel all Flow Runs for a Version of a Flow
Create a Flow on a File in Teams
Cloud Flows are Automatically Defined in Dataverse Solutions
Use Workflows on Calendar Events in Teams and Outlook
Create AI Flows in Power Automate
Use Copilot with French Language
Recommendations to Reassign Orphaned Cloud Flows
Generate Descriptions for Cloud Flows using AI
Use Flows with Connections from Users in Copilot Studio
Use Process Mining Microsoft 365 Personal Recommendations
Create and Edit Expressions with Copilot
Get Quick Insights and Recommendations in Copilot for Process Mining
Troubleshoot with Copilot for Cloud Flows Execution
Automate With Ease Using the AI Recorder
Enter into a Conversation-first Copilot Experience to Build Flows
Transform Scripting Using AI-driven Natural Language
Maximize Your Productivity with Generative Answers
Streamline Workflow Creation with the Next Best Action
Generate Flow Description Using AI
Use Natural Language to Create a Flow in Teams
Leverage Desktop Automation with the Power Automate Plugin for Windows Copilot
Set Up Fallback UI Automation Mechanism
Power Fx Integration with Power Automate for Desktop
Use Power Platform Connectors in Power Automate for Desktop Actions
Use CyberArk Credentials in Desktop Flow Connections
Use Azure Key Vault Credentials in Flow Connections
Connect Your Own Virtual Network with Hosted Machine Group
View Attended Desktop Flow Runs Using Picture-in-Picture Execution Mode
Self-heal UI and Browser Automation Actions at Execution with AI
Use the Run Power Fx Expression
Use Python v3 in Power Automate for Desktop
Use Machine to Credential Mapping in Desktop Flow Connections
Create a Reusable Collection of UI Elements
Use Customer-managed Encryption Key for Hosted RPA
Automation Center to Monitor and Manage All Your Automations and Related Assets
Trigger Attended Desktop Flows in Picture-in-Picture
Use Copilot in Automation Center to Analyze Cloud Flow Runs
Trigger Attended Desktop Flows in Picture-in-Picture Mode Through the Power Automate Console
Use Copilot in Automation Center to Analyze Desktop Flow Runs
Use Copilot in Automation Center to Analyze Work Queue Data
Use Copilot in Automation Center to Ask Power Automate Product Questions
Use New Data Table Actions
Use New Excel Actions in Power Automate for Desktop
Use the New Desktop Flow Running Timeout Property
Ingest Process Data from Customers' Data Lake
Scale Faster with Power Automate Process Mining Thin Client App

Error When Connecting Jet Reports to Microsoft Dynamics 365 Business Central for the First Time

Jet ReportsWhile implementing Microsoft Dynamics 365 Business Central recently for a client, we also implemented Jet Reports. After installing the extension in Business Central, I created a data source and tried to log in, but received this error message:

Jet reports sign in error

Jet reports

Sorry, but we're having trouble with signing you in.

AADSTS90099: The application '~~~~~~~' (Jet Reports) has not been authorised in the tenant '~~~~~~~'. Applications must be authorised to access the customer tenant before partner delegated administrators can use them.

It’s actually an obvious one which I should have remembered; the first sign into the data source is the one which grants permissions to sign in and so needs to be done by a Microsoft 365 administrator for the Business Central tenant.

As the Business Central partner, this was not me. After co-ordinating with the client and their Microsoft 365 partner, we got an administrator to sign into the data source for the first time, granting permissions as they did so, after which I was able to confirm the data source worked and giving users at the client access.