Automation Workflow for Generating Regulatory-Compliant Conjunction Assessment Reports

This workflow automates the manual, high-liability process of creating conjunction assessment reports for regulators like the FCC or NOAA. It eliminates days of repetitive data collation, narrative drafting, and formatting by pulling live conjunction data messages (CDMs) and satellite telemetry, applying jurisdiction-specific regulatory templates via RAG, and using LLM agents to draft compliant narratives. The business value is direct: it reduces legal review cycles from weeks to hours, cuts compliance labor by over 70%, and minimizes the risk of submission errors that can delay licenses or trigger penalties.

Implementation integrates with operational systems like SOCRATES for CDMs, spacecraft telemetry databases, and document management platforms such as SharePoint or ServiceNow. The orchestration layer, built with LangGraph, manages the sequence, handles exceptions, and enforces mandatory human-in-the-loop approval gates before final submission. Critical controls include versioning, explainability logs for all LLM-generated content, and immutable audit trails to satisfy regulatory scrutiny and internal governance requirements for high-stakes space operations.

This workflow automates the manual, high-stakes process of drafting regulatory conjunction reports for bodies like the FCC or NOAA. It eliminates days of repetitive work per incident by pulling technical ephemeris and covariance data from systems like SOCRATES, fusing it with operator mission context, and applying the correct regulatory templates. The operational upside is a 70-90% reduction in compliance labor, faster submission to meet deadlines, and elimination of formatting errors that trigger regulatory queries, directly protecting licensing and operational standing.

Implementation integrates with existing operator systems via APIs for SOCRATES/CARA feeds and satellite databases. The orchestration layer, built with LangGraph, sequences agents for data validation, RAG-based template retrieval from frameworks like UNOOSA IADC guidelines, narrative drafting, and automated QA. Critical controls include confidence scoring for auto-approval, mandatory human review for low-confidence or high-risk events, and immutable audit trails logging all data inputs, agent decisions, and edits. Deployment is containerized, with observability for agent performance and exception routing to compliance officers.

This workflow automates the manual, high-stakes process of drafting regulatory reports for agencies like the FCC or NOAA following conjunction events. It eliminates days of analyst labor per incident by orchestrating data retrieval from conjunction assessment systems (e.g., CARA, SOCRATES), applying jurisdiction-specific regulatory templates via RAG, and using LLM agents to draft narrative sections. The operational upside is faster, more consistent reporting that reduces compliance risk and frees engineering teams for higher-value anomaly response and mission planning tasks, directly protecting licensing and insurance standing.

Implementation follows a phased delivery to ensure operational confidence. Phase 1 builds the core orchestration in LangGraph, integrating with SSA data APIs and a vector store of regulatory documents. Phase 2 adds the human-in-the-loop approval gate within ServiceNow or Jira, ensuring all reports are reviewed before submission. Phase 3 implements observability and audit trails, logging every data point, model inference, and reviewer decision to create a defensible record for regulators and insurers. Controls include exception routing for low-confidence LLM outputs and automated validation of report structure against agency schemas before finalization.

The workflow automates the high-labor, high-risk process of translating technical conjunction data into audit-ready regulatory narratives. It eliminates days of manual report assembly per event by orchestrating data pulls from SOCRATES/CARA APIs and internal telemetry, applying the correct regulatory template via RAG, and drafting compliant narratives with an LLM agent. The operational upside is a 70-80% reduction in compliance analyst time per event and a defensible, consistent audit trail that mitigates regulatory exposure during licensing or incident reviews.

Implementation requires integrating the orchestrator with SSA data pipelines and document management systems like ServiceNow or SharePoint. The LLM agent must be constrained to factual data from retrieved CDMs and templated regulatory language to prevent hallucination. Critical controls include a mandatory human review gate for legal sign-off, versioning for all drafts, and immutable logging of all data inputs and agent reasoning to create a defensible audit trail. The rollout is typically phased, starting with low-risk orbital regimes to validate report quality before expanding to critical assets.

The workflow's value is unlocked by its integration points. It must pull raw conjunction data from your operational systems—like AGI's STK, COMSPOC's services, or internal conjunction screening engines—and fuse it with satellite telemetry from your mission control software (e.g., NASA's TETK, or commercial MCS). This automated data aggregation eliminates the manual, error-prone collation of technical inputs that currently consumes analyst hours before report drafting even begins.

Post-drafting, the workflow must route the report through configured approval gates in your compliance or legal team's systems, such as ServiceNow or Jira. Finally, it publishes the finalized, version-controlled document to your designated system of record—be it a SharePoint library, a Confluence space, or a dedicated regulatory repository—creating a seamless, auditable chain from raw data to submitted artifact. This end-to-end orchestration is what transforms a document generator into a reliable operating asset.