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Microsoft outlines an agent that combines logistics context and demand forecasts, flags stock risks, and prepares reviewed replenishment orders before updating the ERP.
The Copilot Studio scenario collects nomination details, drafts a summary, requests the user's confirmation, and keeps nomination and recognition history accessible.
Microsoft outlines an agent that organizes learning materials, recommends role-relevant training, supports enrollment and scheduling, and reports completion data.
Microsoft describes an agent that aligns records across systems, flags missing or mismatched entries, and routes proposed explanations and adjustments for manager review.
The scenario describes analyzing business payment records, ranking overdue accounts, and preparing contextual follow-up actions and reminders.
Microsoft outlines an agent that matches invoice, order, and receipt data, checks policy rules, and recommends a review path for unresolved discrepancies.
Microsoft outlines a Copilot Studio agent that normalizes ERP transactions, checks payment patterns and explicit risk rules, and documents flagged exceptions.
AgentMail's Product Hunt page describes per-agent inboxes, incoming-message events, threaded replies, semantic search, and attachment extraction. This lead is an infrastructure recipe rather than a measured customer result.
The flow monitors a chosen Gmail label and uses an agent's explicit response and voice instructions to decide when a draft is warranted.
An AI agent checks a Sheets list of birthdays and anniversaries, uses relationship notes to personalize messages, and passes matching greetings to an email step.