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Power Automate

Power Automate is a structured market facts and capabilities mapped within the Polaris7 Knowledge Graph.

Analyst Perspective

Analyst Signal Briefing

Archived (Stand: 1 Jul 2026)

No new strategic signals in the last 90 days. Showing historical briefing.

Power Automate has formalised the general availability of Power Platform Monitor alerts, enhancing the reliability of automated flows amidst Microsoft’s broader strategic deployment of its proprietary 'MAI' frontier AI models. This shift toward an independent AI stack, including reasoning-focussed models like MAI-Thinking-1, aims to bolster automation capabilities while the parent company addresses platform integrity following the 'Miasma' malware breach. These developments, supported by robust quarterly cloud performance, enable more sophisticated AI-driven workflows and data extraction across the Power Platform ecosystem.

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Key insights about Power Automate

Subsidiaries

Power Automate operates a network including King.

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Competitors

Key competitors include Workato.

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Acquisitions

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Power Automate: About

Explore market intelligence regarding the capability matrices and strategic footprint of Power Automate.

Side-by-Side Comparisons

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Power Automate: Key Subsidiaries & Acquisitions

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Power Automate: Key Competitors & Alternatives

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Recent Signals (Power Automate)

Power AutomateJul 21, 2026

2026 Environmental Sustainability Report Published

Responsibly building the AI future

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DEV CommunityMay 18, 2026

TechLit Viewer: StructFlow + Power Apps Dashboard

The author built TechLit Viewer, an end-to-end technical literature management system combining LDX hub StructFlow for AI extraction with Microsoft 365 tools (SharePoint, Power Automate, Power Apps) and a standalone HTML dashboard using Chart.js. The system processed 18 documents, auto-extracting eight fields (Title, DocType, Authors, Year, FieldMajor, TRL, RelevanceScore, Summary). Automation uses two Power Automate flows (an always-on update trigger and a manual bulk-processing flow). StructFlow extracted all fields correctly for 15 of 18 documents (83% accuracy); average processing time was ~67 seconds per document and ~20 minutes for a full run. Lessons include locking down SharePoint column types, designing schema from decision criteria (including TRL and RelevanceScore), and normalizing domain values via system-prompt instructions. Next steps list reprocessing, scaling to 100+ documents, adding OCR pre-processing, and integrating RefineLoop for translations.

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Power AutomateApr 23, 2026

Our Mission and Values | About Microsoft

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

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Company Facts

Founded
1975
Company Size
>5,000