Consulting packages

Nine fixed-scope programmes spanning fraud triage, intake automation, severity launches, MLOps audits, workflow bridges, copilot governance, monitoring design, legacy discovery, and executive alignment. Prices are listed in KRW for planning; final fees appear in proposals.

Lead magnet row: download the claims ML deployment checklist (PDF stub — request via contact form). Mention “checklist” in your message and we send the latest version without adding you to a newsletter unless you ask.

Rapid fraud triage pilot

Stand up a controlled scoring path for suspicious claims without ripping out your core fraud stack.

₩18,900,000

Document intake automation runway

Connect OCR, classification, and routing so adjusters stop re-keying attachments at FNOL.

₩23,800,000

Severity prediction launch studio

Move a severity model from notebook to monitored production with claims-specific guardrails.

₩31,200,000

MLOps architecture audit for claims

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

₩19,800,000

Core-to-edge claims workflow bridge

Design event contracts so new ML services stop breaking legacy workflow engines.

₩35,600,000

Adjuster copilot governance kit

Policies, logging, and UX patterns for LLM-assisted drafting inside regulated claims notes.

₩27,400,000

Production monitoring design lab

Turn vague “watch the model” requests into dashboards, alerts, and ownership that survive rotation.

₩22,100,000

Legacy modernization discovery

Sequence mainframe and packaged app changes so ML investments do not sit idle behind batch windows.

₩42,800,000

Executive alignment war room

Facilitated sessions that get IT, claims, and risk on one page before you fund a major ML rollout.

₩95,000,000