Automated Commissioning and Checkout of New Satellites Workflow

The post-launch commissioning and checkout (C&C) of a satellite is a high-stakes, time-sensitive operational bottleneck. It requires executing hundreds of test sequences across subsystems like power, thermal, propulsion, and payloads, often under 24/7 manual supervision. Automating this workflow standardizes the process, eliminates human error in repetitive command sequencing, and compresses the timeline from launch to revenue-generating service. The operational upside is direct labor leverage and faster ROI on capital-intensive space assets.

Implementation requires a central orchestrator, like LangGraph, to manage the stateful workflow, integrating with ground station software (e.g., COSMOS), mission planning systems, and telemetry databases. Each test phase has predefined success criteria; automated checkers validate telemetry against nominal bounds. Exceptions are routed via ticketing systems (ServiceNow, Jira) with appropriate severity to engineering sub-teams. The architecture must include robust rollback procedures, command validation against a digital twin, and comprehensive audit logs for regulatory and operational review.

Automated commissioning eliminates the 24/7 manual effort of post-launch testing, directly lowering operational overhead and accelerating time-to-revenue for new assets. The workflow ingests telemetry, executes predefined test scripts, and validates subsystem health against mission-specific criteria. Savings come from reducing engineer shift work, minimizing human error in repetitive checks, and shortening the critical path from launch to operational service, which is essential for scaling commercial constellations.

Implementation requires integrating with ground station APIs (e.g., AWS Ground Station), flight dynamics software, and ticketing systems like ServiceNow for anomaly routing. The architecture must include robust exception handling, with predefined approval gates for critical state changes and continuous observability dashboards. This ensures governance and allows for human intervention on non-nominal scenarios, creating a reliable, repeatable process that supports rapid fleet scaling without proportional growth in operations teams.

Automated commissioning replaces weeks of 24/7 manual telemetry monitoring and script execution with a resilient, multi-agent orchestration layer. The workflow ingests real-time telemetry, executes predefined test sequences from tools like STK or FreeFlyer, and validates each subsystem against nominal performance envelopes. This directly reduces labor costs by over 70% for the critical LEOP phase, accelerates time-to-revenue by standardizing the process, and minimizes human error during high-stress operations. The architecture must integrate with existing Mission Control Systems (MCS) and ground station software via secure APIs.

Implementation follows a phased, risk-aware approach. Phase 1 automates non-critical bus checkouts (thermal, power) with full human-in-the-loop approval. Phase 2 introduces autonomous anomaly triage, routing issues to the correct engineering sub-team via ServiceNow. Phase 3 enables closed-loop contingency execution for predefined safe-mode scenarios. Critical controls include a digital twin for command validation, immutable audit logs for regulatory compliance (FCC/ITU), and configurable approval gates before any propulsive maneuver. The final system deploys as a containerized microservice layer adjacent to the legacy MCS, ensuring rollback capability.

The automated commissioning workflow eliminates the 24/7 manual effort of post-launch operations (LEOP, commissioning) by orchestrating test scripts, telemetry validation, and anomaly response. It directly reduces labor costs, standardizes the process across launches, and accelerates time-to-revenue by bringing assets online faster. The architecture integrates with flight dynamics software (e.g., AGI STK), ground station APIs, and test management systems to execute a validated sequence of commands, monitor telemetry against expected envelopes, and log all outcomes for audit.

Implementation requires a stateful orchestrator (LangGraph) to manage the multi-day sequence, integrating with systems like SATCOS for command validation and ServiceNow for ticketing anomalies. Critical controls include pre-flight simulation of the entire sequence, real-time human-in-the-loop gates for major mode transitions, and comprehensive observability dashboards. Rollout is sequenced using digital twins and shadow mode operations on existing assets to validate logic before a live launch, managing the inherent risk of autonomous actions on a high-value new asset.

Automated commissioning replaces the intense, 24/7 manual effort of LEOP (Launch and Early Orbit Phase) with a deterministic, auditable workflow. The operational upside comes from standardizing the process, eliminating human error in script execution, and compressing the time-to-service from weeks to days. This directly reduces labor costs and accelerates revenue generation from new assets. The architecture must integrate with ground segment software like STK or FreeFlyer for orbit determination, and satellite bus simulators for pre-validation of command sequences.

Implementation requires a stateful orchestrator, like LangGraph, to manage the multi-day sequence, handling conditional branching based on telemetry thresholds. Each test phase—from solar array deployment to payload calibration—triggers dedicated agents that pull procedures from a validated library. Critical controls include mandatory human-in-the-loop gates for irreversible actions, real-time comparison against a digital twin, and comprehensive logging to SATCOM or ERP systems like SAP for audit. Rollout must be sequenced, starting with a shadow mode against a live commissioning to validate the workflow's decision integrity.