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Microsoft Power Apps agents learn from user corrections

By PulseAugur Editorial · [2 sources] ·

Microsoft's Power Apps has launched a new closed-loop learning feature for its agents. This update allows agents to learn directly from user corrections, transforming feedback into organization-wide improvements. The system aims to reduce manual fixes and enhance automation accuracy over time. AI

IMPACT Enhances enterprise automation by enabling agents to learn from user feedback, reducing manual intervention and improving accuracy.

RANK_REASON Product update for an enterprise software suite.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Microsoft Power Apps agents learn from user corrections

COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarte

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer Closed-loop learn…

    LINKS microsoft.com/…/power-apps-mcp-server-int…
  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarte

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. # PowerApps # AI # Automation # EnterpriseAI # Copilot # MCPServer https://www…

    LINKS microsoft.com/…/power-apps-mcp-server-int…

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