SC-SCN-01

    Scenario Synthesis Agent

    Automated scene-setting & dynamic events.

    Doctrine alignment
    Supports NATO Joint Warfare Centre and national LVC training models.
    Deployment
    Standalone or coupled to existing simulation backbones; fully air-gappable.
    Underlying products
    SynapseMesh™VerityGridAI™
    01

    Purpose

    Exercise and planning staffs spend weeks hand-building scenarios that drift between iterations and cannot be reproduced for after-action review. SC-SCN-01 generates training, planning and what-if scenarios from a vignette or commander prompt, building scene-setting, plausibility-constrained events and branch-and-sequel trees in checkpointed passes. Each generated package is written to the hash-chained decision record, ML-DSA-signed in assured deployments, and reproducible, so an exercise used today can be replayed exactly years later. Output is confined to training and planning contexts, and the agent never injects events into live operational systems.

    Maritime operations picture used for scenario generation
    Scenario generation
    02

    Architecture

    A commander prompt or vignette, the geographic AOR and a force composition are the only required inputs. The synthesis core builds a scenario package in three passes: scene-setting from terrain and force data, event generation constrained by physical and doctrinal plausibility, and branch-and-sequel tree construction. Each pass is checkpointed, so exercise staff can accept the scene but regenerate the events. When coupled to an existing simulation backbone, injects are delivered through standard interfaces rather than a proprietary format. Every generated package is written to the hash-chained decision record and is ML-DSA-signed in assured deployments, so a scenario used in training can be reproduced exactly, years later.

    IngestCommander prompt or vignette · Geographic AORForce compositionReasoning coreScene-setting passPlausibility-constrained event generationBranch-and-sequel constructionPolicy & assuranceCheckpointed passesStandard simulation interfacesOutput & provenanceSigned scenario packagesExact reproduction years later

    Hover or focus a band to see what it guarantees.

    03

    Inputs and outputs

    Typical inputs
    • IN-01Commander intent
    • IN-02Geographic AOR
    • IN-03Force composition
    Outputs
    • OUT-01Scenario packages
    • OUT-02Dynamic event injects
    • OUT-03Branch & sequel trees
    04

    Position in the mesh

    05

    What it does not do

    It does not inject events into live operational systems. Scenario output is confined to training and planning contexts.

    06

    The same four gates as every agent

    Fail-closed model register

    An unregistered or unapproved model tag is refused before inference, not flagged afterwards.

    Five-role RBAC

    Every action is scoped to a declared role. Scope is checked at the engine, not in the prompt.

    Supervised quarantine

    New or changed models run under supervision until their evaluation evidence is accepted.

    Human-on-the-loop

    Irreversible decisions require a signed human authorisation recorded with the decision.

    The agents differ in what they reason about. They do not differ in what they are allowed to do.

    07

    Deployment

    Sovereign Cloud

    In-country, accredited cloud, under your jurisdiction and operational control.

    Applicable
    On-Premises Classified

    Designed for deployment up to NATO SECRET. Accreditation is per deployment.

    Applicable
    Air-Gapped Tactical

    Runs disconnected. Inference, agents and the decision record are all local.

    Applicable

    Ready to see SynapseCommand® in action?

    Briefings available under NDA. Classified briefings arranged through cleared channels.