SLA Monitoring and Credit Determination Automation Workflow

For satellite operators selling imagery or data services, manual SLA tracking is a costly, error-prone bottleneck. This workflow automates the ingestion of delivery timestamps, data latency metrics, and coverage completion rates from mission planning and ground segment systems. It continuously compares these operational KPIs against contract terms stored in a CLM like Icertis or Conga. The immediate business value is the elimination of manual reconciliation labor, the prevention of revenue leakage from unclaimed credits, and the strengthening of customer trust through transparent, automated compliance.

Implementation requires a central orchestrator, built with frameworks like LangGraph or Temporal, to manage state and retries. It integrates with mission systems (e.g., AGI STK, legacy planning tools), the CLM via API, and the billing engine (NetSuite, SAP). Critical controls include confidence scoring for violation detection, approval gates for high-value credits, and immutable audit logs for finance and customer disputes. The architecture must handle poor data quality from legacy systems with validation agents and exception routing to operations teams for investigation.

This workflow automates the continuous validation of service-level agreements (SLAs) for satellite imagery delivery, data latency, or contact availability. It ingests telemetry, tasking logs, and ground station data to measure performance against contractual thresholds. By replacing manual report generation and invoice reconciliation, it eliminates a significant operational bottleneck, directly reducing administrative labor and accelerating the billing cycle. The architecture must integrate with mission planning systems, customer portals, and the core billing ERP (e.g., SAP, Oracle) to create a closed-loop from service delivery to financial adjustment.

Implementation requires a LangGraph or similar orchestration layer to manage the agent sequence, with strict controls around credit calculation logic and approval routing. The Credit Calculation Agent must reference the master contract stored in a system like Salesforce CPQ or a dedicated CLM. Observability is critical; each violation detection, memo generation, and approval action must be logged to an immutable audit trail for financial governance. Rollout sequencing should start with a single customer SLA type, validating the data integration and exception handling before scaling to the entire constellation customer base.

This workflow automates the continuous tracking of service delivery metrics—like image delivery latency or data availability—against contractual SLAs. It eliminates the manual, error-prone process of log scraping and spreadsheet reconciliation that delays credit issuance and erodes customer trust. By integrating directly with mission data pipelines, ground station logs, and billing systems, it provides real-time visibility into performance breaches, enabling proactive communication and turning compliance from a cost center into a lever for customer retention and operational transparency.

Implementation requires a phased rollout, starting with core metric ingestion from systems like AWS Ground Station logs and payload schedulers. The orchestration layer, built with frameworks like LangGraph, manages state and exception routing. Critical controls include configurable approval gates for credit amounts, detailed audit trails for regulatory scrutiny, and integration with the billing system's adjustment API. The result is a defensible, automated financial workflow that reduces administrative overhead, accelerates dispute resolution, and provides a clear ROI through labor savings and improved customer satisfaction metrics.

For commercial satellite operators, contractual SLAs for image delivery latency or data availability are core to customer trust and revenue. Manual tracking is error-prone and creates significant accounting overhead. Automating this workflow directly protects revenue by ensuring accurate, timely credit issuance for missed SLAs, while improving operational transparency. The system ingests telemetry, tasking completion timestamps, and ground station logs, correlates them against customer contracts in Salesforce or SAP, and flags violations for automated processing.

Implementation requires integrating the SLA engine with mission planning systems like AGI's STK, billing platforms like Zuora or NetSuite, and CRM. The architecture must include configurable approval gates based on credit value, automated generation of audit-ready reports, and real-time dashboards for operations and finance. Phased rollout starts with non-critical customers, validating detection logic and credit calculations before full automation. This creates a defensible, scalable system that turns compliance from a cost center into a managed operational metric.