Transforming digital processes with AI: A Power Automate Process Mining Case Study at Microsoft Customer and Partner Solutions (MCAPS)

How can businesses streamline their processes and optimize their performance with process mining? Microsoft Customer and Partner Solutions organization has been using Power Automate Process Mining with Copilot to analyze, improve, and monitor their sales processes. The results have been impressive for their marketing demand generation process. Read on to learn how they did it, and how you can benefit from Power Automate Process Mining too.

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Hyperautomation: Unleashing enterprise efficiency with Microsoft Power Automate

The enterprise journey toward operational excellence is ongoing, and the adoption of hyperautomation has become a pivotal milestone. Microsoft Power Platform stands at the forefront of this movement, offering a suite of tools that transform the way businesses approach digital transformation at scale – and Microsoft Power Automate is a key accelerator.

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Simplify your work with Table rules in Microsoft Loop

Microsoft Loop is a powerful productivity tool that enables collaborative work and flexible information organization. It provides teams with a shared workspace where they can create and collaborate on content such as notes, tasks, and files. Loop integrates seamlessly with Microsoft Power Automate, allowing users to automate repetitive tasks. By creating rules, you can trigger specific actions based on conditions, saving time and effort. For instance, you can set up a rule to send an email notification to your team whenever a new task is added to a project table in Loop. Overall, Loop enhances teamwork and streamlines communication by combining a shared workspace with automated workflows.

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Custom processing for invoice and document field types generally available

We’re thrilled to share that AI Builder’s latest capabilities, which include automated custom invoice processing and the extraction of dates and numerical field types from documents, are officially available. These enhancements aim to streamline the configuration of bespoke AI models for automated data extraction from invoices and to enhance the precision of processing both structured and unstructured documents.

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