Mission
We teach financial auditing guidance for AI-assisted ledger review governance so practitioners can use pattern detection without diluting professional skepticism. Graduates leave with scoping checklists, exception logs, and wording that survives partner and EQCR review.
Pedagogy
Sessions alternate short conceptual frames with live ledger extracts. Learners propose thresholds, clear or escalate model hits, and rewrite conclusions until a reviewer can reconstruct the judgment without opening the tool UI. We deliberately include false positives and seasonality traps so teams practice saying “no” to the model.
Community
Alumni join a moderated forum for Korea-based engagements: bilingual workpaper patterns, vendor evaluation notes, and anonymized exception-log examples. Membership is optional and never used to sell software licenses.
Student journey
Most participants begin with Governed Ledger Review, then return for Exception Triage Studio before busy season. Firm Desk seats include office-hour reviews of a real (sanitized) file section. Individual Field Seats move at a fixed cohort pace with peer critique of decision logs.
Our instructors have led substantive testing on manufacturing, retail, and SaaS ledgers across Korea. They do not sell the tools discussed in class; vendor examples are rotated so governance skills transfer when the software changes.