Oliver Kieselbach ce97a583d0 fix(v2): propagate AadJoinedWithUser + rename aad_user_joined_late→_observed
AadJoinWatcherAdapter never wrote SignalPayloadKeys.AadJoinedWithUser into the
decision-signal payload, so HandleAadUserJoinedLateV1 always read withUser=false.
Every Classic AAD-Join session ended up with aad_user_joined_device_only in the
audit trail and a wrongly-flipped WhiteGloveSealingClassifier weight. The watcher
only fires AadUserJoined for non-placeholder accounts (placeholders go via the
separate PlaceholderUserDetected event), so the flag is unconditionally true at
emit time.

Cosmetic: rename the wire EventType from aad_user_joined_late to
aad_user_joined_observed. The "late" qualifier reflected the agent's observation
perspective ("I missed the live event"), which holds for 100% of Classic sessions
and reads as misleading in the timeline (the event lands seconds after agent
start, before aad_join_status). FailureSnapshotBuilder accepts both strings — V1
agents and historical data still carry the legacy name.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-04 09:37:39 +02:00
2026-04-29 09:00:52 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-04-04 19:17:01 +02:00

Autopilot Monitor

Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.

Private Preview

Autopilot Monitor is currently running as a Private Preview. Visit autopilotmonitor.com to request access and learn more.

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.
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