Oliver Kieselbach 0ebfa2fc3c refactor(decisioncore): SelfDeploying + Device-Only handlers + 2 scenarios (M3.2)
SelfDeploying-v1 vertical slice: DeviceSetupProvisioningComplete terminal
handler, DeviceOnlyEspDetection deadline wiring, and the
DeviceOnlyDeployment hypothesis progression UserPresent / DeviceOnly /
Ambiguous expressed via Hypothesis.Reason (plan §2.3).

Handlers (DecisionEngine.SelfDeploying.cs):
 - DeviceSetupProvisioningComplete  terminal. Cancels all deadlines,
                                    finalizes DeviceOnlyDeployment based on
                                    user-presence facts (AadJoinedWithUser,
                                    HelloResolvedUtc, DesktopArrivedUtc),
                                    raises EnrollmentType to Strong when
                                    no AccountSetup was observed before.
 - DeviceOnlyEspDetectionFired      hypothesis-only update to
                                    DeviceOnlyDeployment=Strong(DeviceOnly).
                                    Stage unchanged; completion still
                                    requires explicit provisioning signal.

Classic.cs extended:
 - First EspPhaseChanged(DeviceSetup) arms the DeviceOnlyEspDetection
   deadline (5 min window, plan §2.7).
 - EspPhaseChanged(AccountSetup) cancels it — UserDriven-v1 path.

Shared DeadlineFired router routes the deadline to the SelfDeploying body.

Scenario fixtures (tests/fixtures/enrollment-sessions/):
 - selfdeploying-happy-v1.jsonl            — 3 signals, SkipUserStatusPage
                                             path. Terminal Completed with
                                             DeviceOnly hypothesis confirmed
                                             and no user-presence facts.
 - selfdeploying-esp-exit-unknown-v1.jsonl — 4 signals, deadline fires at
                                             T+5m and sets DeviceOnly before
                                             provisioning-complete arrives.

Tests (SelfDeployingScenarioTests, 4 new):
 - SelfDeployingHappy terminal state + hypotheses
 - SelfDeployingHappy deadline cleanup
 - Device-Only ESP-exit-unknown deadline -> provisioning flow
 - AccountSetup on the Classic path cancels DeviceOnlyEspDetection
   (regression guard — UserDriven should never classify as DeviceOnly)

InternalsVisibleTo added to DecisionCore for DecisionCore.Tests so the
internal DeviceOnlyReasons tokens stay hidden from consumers while tests
assert on them directly.

Suite totals: 45 DecisionCore (was 41) / 507 Legacy / 557 Functions.

Plan: plans/REFACTOR_AGENT_V2.md §4 M3 sub-milestone M3.2.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 14:04:52 +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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