AutomatorsAnonymous

AI, JavaScript, SharePoint, and Power Platform projects built by the Automators Anonymous™ community of practice at UMich.

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Documentation from the repository README

Automators Anonymous™

Description

Automators Anonymous™ is an open-source collection of AI, JavaScript, Microsoft SharePoint, Power Automate, and Power Platform automation projects created by a University of Michigan community of practice. The repository includes reusable tools for dashboards, email backup, regular-expression services, SharePoint inventory, and workflow automation.

The invite-only community of practice brings together analysts, program managers, database architects, and developers from Michigan Medicine and the University of Michigan to exchange ideas, solve workflow problems, and reuse working automation patterns. Each project is self-contained and documented so other teams can adapt it, reduce repetitive work, and improve Microsoft 365 workflows.

Quick Start Guide

  • See individual README files for instructions. Each folder contains independent code.
  • Michigan Medicine faculty and staff can view live SharePoint demos at the Automators Anonymous™ MM Showcase.

Projects:

  • DataLaVista™: Dashboard designer and toolkit. Tell your expensive BI tools: "Data la vista, baby!" ™ 🕶️ Visit Website.
  • DontDeleteMyEmail: Collection of solutions to the "IT is going to delete my old emails" ™ problem, using Power Automate or other tools.
  • MM Showcase: Code for the landing page for the internal Automators Anonymous™ showcase at Michigan Medicine. View Showcase (login required).
  • RegExService: Flows for running regular expressions in Power Automate using an external REST-based API, such as TeamDynamix iPaaS.
  • Sitenalyzer: Helps you extract a data dictionary and security information from your SharePoint sites.

Documentation

  • Further documentation maybe available at the Depression Center's Health Research Resource Library Knowledge Base: https://michmed.org/efdc-kb.

Additional Resources

About the Team

The Power Automate Lab™ started as a means to collaborate and problem-solve together. It is comprised of Power Platform users from different business, research and IT positions throughout Michigan Medicine and University of Michigan. We jokingly called our first in-person meeting the "Automators Anonymous" ™ meeting, and the name stuck, so it became the name for this repository and for the group.

Contact

To get in touch, contact the individual developers in the check-in history.

If you need assistance identifying a contact person, email the project maintainers at: [email protected].

Credits

Contributors:
This work is based in part on the following projects, libraries and/or studies:

License

Copyright Notice

Automators Anonymous™ is a trademark of The Regents of the University of Michigan. Copyright © 2025 The Regents of the University of Michigan.

Software and Library License Notice

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/gpl-3.0-standalone.html.

Documentation License Notice

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. You should have received a copy of the license included in the section entitled "GNU Free Documentation License". If not, see https://www.gnu.org/licenses/fdl-1.3-standalone.html

Citation

If you find this repository, code or paper useful for your research, please cite it.


Copyright © 2024 The Regents of the University of Michigan

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