We’ve heard from customers the importance of clearly understanding the health of their enterprise automations through detailed analytics and proactive recommendations. To support this need, there are updates to monitoring and analytics tools in Automation Center and Power Platform Admin Center:

• Monitor cross environments the health of automations in Power Platform Admin Center
• Operate and troubleshoot automations in Automation Center with the hierarchical run history view and copilot generally available
• Increased action log capacity and near-real-time logging for Desktop flows with logs V2
• New advanced desktop flow recommendations

Unveiling Public preview of monitoring Power Automate in Power Platform Admin Center 

Following up on the announcement made at Ignite for Power Apps monitoring in PPAC, we are excited to announce that Power Automate resources are now available in the Monitoring Hub in Public Preview.

The Monitoring Hub is an innovative experience that enables admins to observe and maintain optimal operations by managing changes to production environments, detecting and remediating incidents, and maintaining business continuity.

The Monitoring page brings attention to resources with degraded operational health and highlights which resources have opportunities for improvement.

Thanks to the new Power Automate view in Monitoring Hub, you can now track the success rate of your cloud and desktop flows, the machine wait time in queue of your desktop flows to monitor the scalability of the allocated machines, across environments. There are many more resource types and associated metrics to come in the future.

For automations running in a Managed Environment, contextual recommendations help you enhancing their health and efficiency. The recommendation can be shared in Teams with stakeholders who can then deep dive in Automation center to troubleshoot.

Run history in Automation Center is now generally available

Automation center is a central hub for efficient monitoring and troubleshooting experiences for automation processes across Power Automate at scale. The automation center provides comprehensive visualizations to monitor the health of the automations, quickly detect issues or trends, and troubleshoot problems more efficiently. 

Whether you’re a developer, operator, Center of Excellence team member, or business analyst, the automation center provides a centralized view of the activity of your automations within an environment. It features a user-friendly interface with dashboards that show the health status of flows and work queues, desktop flow activity and for Managed Environment recommendations.

We are excited to announce that the hierarchical flow runs view and copilot are now available in general availability. 

Hierarchical Flow runs view

The runs tab presents a consolidated view of cloud and desktop flow run data displayed in a hierarchical list view. You can easily see at a glance the status of all dependent runs whether they succeeded or failed.

Copilot automation insights

When you are looking for more detailed insights, you can use Copilot to analyze your automation activity. Copilot in Automation Center is able to answer questions about your cloud and desktop flow runs, work queue data and documentation (preview).

Desktop flow logs V2 with near-real-time logging is now generally available

Building on the strong foundations of Desktop flow logs V2, we are pleased to announce the general availability of near real-time logging of desktop flow action logs for logs V2 together with drastically increased action log capacity. This feature provides near-real-time log updates of cloud-initiated desktop flows, which is essential for monitoring long-running flows.

New advanced desktop flow recommendations

Orchestration-based recommendations for desktop flow runs (preview)

You can now receive orchestration-based recommendations when an unattended desktop flow run is queued but can’t start due to a locked or disconnected user session of the same user on the machine. 

The “Desktop flows not running” recommendation shows up in the Automation Center recommendation section. The recommendation provide the details of all the affected desktop flow runs, allowing you to take corrective actions within a 10-minute timeout window.

Repair with Copilot for unattended desktop flow runs (preview)

End of last year we’ve launched the public preview of Repair with Copilot that provides attended and unattended selector repair suggestions through Copilot. If you enabled repair at runtime for unattended runs in the Power Platform admin center, you receive repair requests directly under Recommendations within the Automation Center experience.

Once enabled at both the environment and flow level, you’ll receive recommendations when an unattended cloud flow-initiated desktop flow is at risk of failing due to an error with UI or browser automation actions. This could occur when the intended UI element for interaction cannot be located using one or more preconfigured selectors.

The post Enhanced enterprise automation observability appeared first on Microsoft Power Platform Blog.

If you search for “AI Builder” when creating a new step in Power Automate, you will be able to select the AI Builder group icon.

This group contains all the available actions based on AI Builder models.

You can also look for the kind of action you want to automate, and pick the AI Builder action that fits your need.

These new actions also include improvements such as dropdown lists for languages and document types.  For more information about AI Builder, and the models supported by these new actions, see AI Builder in Power Automate overview .

The post Introducing AI Builder dedicated actions in Power Automate appeared first on Microsoft Power Platform Blog.

The data that you need to provide to the AI Model changes based on the type of model that you select.

The format of the AI Model output also changes based on the type of model, and is now available in Power Automate “dynamic content” for you to use like any other data in your flow.

Form processing example

With AI Builder form processing, you can train an AI model to extract data from forms. In this example we’ll show how you can automatically extract data from invoices that you receive in email, and save the data to a SharePoint list.

To do this, you first create an AI Builder form processing model for the invoice you want to process. Once you train and publish the model, create a solution-aware flow in Power Automate that is triggered every time you receive an email with an attachment for a certain provider. To leverage the AI Builder model you trained, use the Predict action from the Common Data Service connector. Then, select your model and point it to the email attachment as shown here:

To save the extracted data to SharePoint, you add an action to the flow that creates a new SharePoint list item. You can easily select the results from the AI Builder model that you want to save to the list.

Sentiment analysis example

You can also use the prebuilt AI Builder models right out of the box without the need to train them. One of these pre-built models is sentiment analysis, which detects positive or negative sentiment in text data.

Let’s say that you are organizing an event, and you want to know what the sentiment of the audience is, based on the tweets coming out from the event. The first thing you do is create a solution-aware flow that is triggered every time somebody tweets with the hashtag of your event. Next, add the Predict action, select the sentiment analysis model, and then point as input the text from the tweet as shown in the following animation:

Do you want to be notified by email if somebody posts a tweet with negative sentiment? Just add a condition to check if the result coming from AI Builder is a negative sentiment, and to send an email with the text and author of the negative tweets. This example is shown here:

Learn more

You can refer to this documentation if you want to learn more about AI Builder usage in Power Automate for each scenario.

We are always working on improving the AI Builder experience, so feel free to reach us with feedback.

We’re looking forward to seeing what you build with the improved AI Builder experience in Power Automate!

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