What “model risk audit” means here

In fintech analytics, an audit is rarely a single report. It is a sequence of questions about whether a score, rule set, or machine-learned ranker is fit for a stated purpose, monitored honestly, and governed when it drifts.

Infradeploy treats model risk audits as a craft: inventory discipline, assumption challenge, and writing that lets outsiders reconstruct your reasoning.

Failure patterns we see often

• Partner scores treated as “not models” until an auditor disagrees
• Performance decks without population stability context
• Override cultures that silently rewrite outcomes
• Monitoring alerts that never escalate to owners

How Korea-based teams usually start

Many enroll ahead of an annual inventory refresh or a new product launch. Others arrive mid-validation when language between first and second line has already frayed. Both paths work; the earlier path simply costs less in rework.