BeamSpark Claims Lab
Claims ML deployment studio · Seoul
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MLOps architecture

MLOps architecture audit for claims

A structured review of how models move from experiment to production in your claims stack.

Duration
6 weeks
Format
Intensive interviews + readout workshop
Indicative fee
₩19,800,000
Discuss this package

Overview

We interview teams, read architecture diagrams, and inspect CI/CD realities—not slide decks. The output is a risk-ranked backlog covering reproducibility, access control, secrets handling, and incident response.

What is included

  • Artifact lineage expectations for claims models
  • Secrets and key rotation review for inference endpoints
  • Access matrix for data scientists vs platform engineers
  • Disaster recovery gaps for batch scoring windows
  • Alignment map to ISO-style controls where applicable
  • Roadmap slices sized for 30/60/90-day execution
  • Plain-language board briefing

Outcomes you can inspect

  • Single prioritized remediation list
  • Shared vocabulary between risk and platform teams
  • Clear owner per gap, even when the owner is you
RC

Rina Cho

MLOps engineer with a background in regulated batch pipelines for large carriers.

FAQ

Is this a certification?

No. It is an advisory audit. Your internal audit function remains accountable for formal assurance.

Do you need production access?

Read-only access accelerates accuracy but is not mandatory if strong documentation exists.

What is excluded?

We do not perform source code line-by-line security review of vendor black boxes beyond interface contracts.

Experience notes

“Blunt without being theatrical. Some items were obvious technically but politically stuck; they separated those from pure engineering debt.”

— Theo , VP platform engineering

“Liked the access matrix—finally something compliance could annotate without a six-week translation project.”