Power Automate
Power Automate is a structured market facts and capabilities mapped within the Polaris7 Knowledge Graph.
Analyst Perspective
Analyst Signal Briefing
Updated: 1 Jul 2026Power 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
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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Casual mobile game publisher behind free-to-play puzzle franchises.
Power Automate: Key Competitors & Alternatives
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Enterprise integration and automation software for cross-system workflows.
Recent Signals (Power Automate)
Microsoft announces quarterly dividend
Microsoft has announced its quarterly dividend, providing details on the amount and relevant dates.
Read original sourceTechLit 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.
Read original sourceMicrosoft Cloud and AI Strength Fuels Third Quarter Results
Microsoft announced its third quarter results, highlighting the strength of its cloud and AI services.
Read original sourceCompany Facts
- Founded
- 1975
- Company Size
- >5,000
- Official Link
- powerautomate.microsoft.com
