Draft replenishment orders from demand signals for inventory-manager approval
Microsoft outlines an agent that combines logistics context and demand forecasts, flags stock risks, and prepares reviewed replenishment orders before updating the ERP.
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Source-linked workflows that name AI agent. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
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.
A builder reports that a two-court booking system became more reliable after moving availability checks, resource assignment, and booking IDs out of the LLM and into deterministic n8n workflows.
A builder's LinkedIn post describes preprocessing and routing chat inquiries for an educational institute so the LLM receives the relevant request type instead of every raw message indiscriminately.
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.
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.