Automating Cross-Operator Data Sharing and Coordination

The operational bottleneck is clear: manually negotiating 'right-of-way' with other operators during a conjunction is slow, error-prone, and risks miscommunication that can escalate collision probability. This custom workflow automates the initial coordination layer, ingesting validated conjunction data and operator-defined constraints to draft and exchange encrypted, structured negotiation messages via protocols like SCCS-NG or proprietary APIs. The business value is direct: it compresses coordination timelines from hours to minutes, reduces human administrative load, and creates a defensible, auditable record of all coordination attempts, directly lowering operational risk and potential liability.

Implementation requires a multi-agent architecture where a dedicated Coordination Agent, governed by strict business rules, handles the communication. It integrates with internal conjunction assessment systems to receive alerts and with encrypted data vaults (using formats like CDM) to share only necessary, anonymized orbital data. The agent drafts messages, parses responses, and applies pre-programmed negotiation logic—such as accepting a proposal if it aligns with fuel budgets—before escalating complex cases. Critical controls include human-in-the-loop approval for final plans, immutable audit logs of all exchanges, and integration with regulatory reporting systems to demonstrate compliance with data-sharing agreements.

This workflow automates the sensitive, manual process of sharing conjunction data and maneuver intentions with other operators, a critical bottleneck for effective collision avoidance. It directly reduces coordination latency from days to minutes, preventing costly last-minute maneuvers and preserving fuel. The architecture must enforce strict data privacy, encrypting proprietary orbital elements and ephemerides while allowing agents to negotiate 'right-of-way' and resolve conflicts using secure communication protocols like Space Data Association (SDA) standards or custom APIs.

Implementation integrates with existing flight dynamics and mission control systems (e.g., AGI STK, COMSPOC) via APIs. The orchestration layer, built on frameworks like LangGraph, manages state and approval gates. Each operator's negotiation agent operates within a private data enclave, ensuring proprietary trajectories are never exposed. Controls include mandatory human-in-the-loop approval for final coordinated plans, immutable audit logs of all exchanges for liability and regulatory compliance (e.g., FCC, UNOOSA), and continuous monitoring for protocol deviations.

The business imperative is clear: manual coordination over email and phone for collision avoidance is slow, error-prone, and exposes sensitive operational data. A custom automated workflow replaces this with encrypted, structured data exchanges and agentic negotiation, compressing coordination from days to minutes. This directly reduces the risk of costly collisions and service outages while preserving competitive advantage by sharing only necessary intent, not proprietary ephemeris or maneuver logic. The architecture must enforce strict data sovereignty, integrate with internal flight dynamics systems, and provide full auditability.

Implementation follows a trust-building sequence. Phase 1 establishes the secure data pipeline and basic alert sharing via SOCRATES/CARA APIs with automated report generation. Phase 2 introduces the coordination agent with rule-based negotiation for simple scenarios, requiring human approval for all actions. Phase 3 deploys the full multi-agent system with ML-driven intent prediction and autonomous resolution for low-risk cases, guarded by explainability layers and immutable audit trails. Each phase integrates with existing conjunction assessment and mission planning systems (e.g., AGI's STK, internal propagators) and includes rollback protocols to manual processes.

The business imperative is clear: uncoordinated maneuvers between operators risk creating new, more dangerous conjunctions, a form of operational fratricide. Automating secure data exchange eliminates the slow, manual coordination that currently delays critical decisions, compressing response timelines from days to minutes. The operational upside comes from preventing chain-reaction scenarios, reducing unnecessary fuel burns from conflicting maneuvers, and building a defensible record of due diligence for regulators and insurers, directly protecting asset value and liability exposure.

Implementation requires a multi-agent architecture built on a secure, neutral orchestration layer. Specialized agents handle encryption, anonymization of proprietary ephemeris, and rule-based 'right-of-way' negotiation based on IADC guidelines. The system integrates with operator-specific tools like AGI's STK or internal flight dynamics systems via APIs. Critical controls include human review gates for non-standard scenarios, immutable audit trails of all communications, and continuous monitoring for data leakage or protocol deviations, ensuring trust in the automated ecosystem.

The business imperative is clear: uncoordinated maneuvers between operators risk creating new conjunctions, wasting fuel, and incurring liability. Automating secure data exchange eliminates the manual, trust-based coordination that delays critical decisions. The operational upside comes from compressing coordination cycles from days to minutes, enabling fuel-efficient, cooperative maneuvers that preserve asset lifespan and reduce overall system risk. This requires an architecture that enforces data sovereignty, encrypts sensitive ephemerides, and provides an immutable audit trail for all shared intentions.

Implementation integrates with existing flight dynamics and mission control systems via APIs, using agents to handle the negotiation logic based on pre-defined business rules (e.g., asset value, fuel reserves). Controls are paramount: all automated communications require human-in-the-loop approval before transmission, and a blockchain-like ledger records every data exchange with cryptographic non-repudiation for liability management. The workflow must comply with data-sharing agreements like the Space Data Association's protocols, ensuring interoperability while maintaining competitive separation of core orbital data.