BeamSpark Claims Lab
Claims ML deployment studio · Seoul

How engagements run

Four to six collaborative beats, depending on package. No certification theatre—just accountable artefacts.

  1. 1. Signal inventory

    We document what data exists at FNOL, where it breaks, and which signals are contractually usable.

  2. 2. Integration map

    Event-level story of how tasks, reserves, and payments move today; ML entry points marked with rollback levers.

  3. 3. Shadow lane

    Models or rules run parallel to production with immutable logs for SIU and risk review.

  4. 4. Monitoring design

    Dashboards tied to adjuster journeys, not generic uptime charts.

  5. 5. Governance pack

    RACI, escalation scripts, and model change windows your committee can adopt verbatim.

  6. 6. Handover rehearsal

    Your teams run the playbooks with us on mute before we fully step back.

Before

ML experiments live outside the claims workflow engine; adjusters distrust pop-up scores with unclear provenance.

After

Scores arrive with evidence bundles, rollback is one toggle, and monitoring ties to tasks adjusters already perform.