Oliver Kieselbach 65599575d6 add ESP provisioning status check and settle delay before enrollment completion
When the IME pattern fires, the agent now checks ESP provisioning category
status from the registry before completing. If categories are still unresolved
(e.g. agent started late), it waits up to 30s for Windows to finalize the
outcomes. The ESP provisioning snapshot (category outcomes + subcategory states)
is included in every enrollment_complete event for observability.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-03 17:13:39 +02:00
2026-03-31 23:30:43 +02:00
2026-04-02 01:00:47 +02:00
2026-04-01 00:27:23 +02:00
2026-03-31 03:41:22 +02:00
2026-04-01 04:33:45 +02:00
2026-03-31 22:29:24 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00

Autopilot Monitor

Advanced monitoring and troubleshooting solution for Windows Autopilot deployments.

Overview

Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:

  • Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
  • Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
  • Backend API — Azure Functions-based ingestion and processing pipeline
  • Web Dashboard — Next.js application for real-time monitoring and fleet analytics

Architecture

For detailed information about the system architecture, components, and data flow, see Architecture Documentation.

Documentation

Full documentation is available at autopilotmonitor.com/docs

License

This project uses a split licensing model:

  • MIT License — Agent (src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices
  • AGPL-3.0 — Backend (src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source

See LICENSE for full details.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
Readme AGPL-3.0 60 MiB
Languages
C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%