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Headshot of article author Sameer Bhangar

Welcome to a list of customer stories curated by the Power CAT team. These stories showcase the ingenuity of a wide breadth of organizations and users that have adopted low-code and Microsoft Power Platform along with Microsoft 365, Azure, and Dynamics 365. Makers of apps, flows, reports, and chatbots have digitally transformed their business processes, and in some cases transformed organization culture, careers, and lives. We hope these serve as inspiration for you as you embark on your own Power Platform journey.

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Headshot of article author Saurabh Pant

As members of the Power CAT team driving customer success and adoption, we often get asked for a summary of resources to share with customers on their Power Platform journey. This blog post includes a set of links we’ve curated to help novice, intermediate and advanced users as they take this journey with us.

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Headshot of article author Taiki Yoshida

Miyu Takai from Tokyo, Japan, began her career with zero IT experience and is now in a technical specialist role that she never imagined possible for herself, thanks to the Power Platform and the power of AI. Miyu leveraged her existing Excel skills and used the GPT-powered Power Apps Ideas capabilities to easily generate Power Fx formulas and wire together logic for her Power Apps solutions.

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Headshot of article author James Oleinik

Chevron has been at the forefront of the energy industry for more than 140 years, and while there are many factors contributing to this success, it’s clear the ingenuity and creativity of its people continuously pave the way for innovation. The global company has always empowered its workforce to solve business challenges. A solid example […]

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Headshot of article author Kavishi Agarwal

T-Mobile, one of the largest wireless carriers in the United States, has used Power Platform to save the company over $4M USD and 97,000 hours with a single Power Apps app. In addition, with Power Automate capabilities, they improved core process efficiencies by 12x while reducing errors from 7% to 0%.

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