{"stable_id":"60af9a4866ff31fc","slug":"ey-helix-full-population-audit","company":"EY","workflow_name":"EY Helix full-population general-ledger analysis","function_code":"financial_crime","pattern_codes":["exception_based_operations"],"changed_assumption":"Audit risk assessment can begin with population-wide analytics instead of statistical samples alone.","evidence_strength":"reported","publication_tier":"showcase","freshness":"current","reviewed_at":"2026-08-23","updated_at":"2026-08-22","source_quality_summary":"2 primary; publication outcomes are reported.","caveat_summary":"Operator-reported coverage, not causal audit-quality evidence.","freshness_caveat":null,"workflow_summary":{"before":[{"actor":"Engagement audit team","action":"Defines the risk population and selects transactions for testing under EY's sample-first baseline.","actor_type":"human"},{"actor":"Auditor","action":"Examines selected transactions and follows anomalies through client evidence.","actor_type":"control"}],"hinge":"Audit risk assessment can begin with population-wide analytics instead of statistical samples alone.","after":[{"actor":"Client data and EY Helix","action":"Loads general-ledger and subledger data and runs full-population analyses across ERP systems.","actor_type":"system"},{"actor":"Engagement auditor","action":"Uses patterns and outliers to target follow-up questions and additional audit procedures.","actor_type":"system"}],"decision_mode":"shared","decision_marker":"AI handles the default; humans own exceptions"},"before":[{"order":1,"actor":"Engagement audit team","action":"Defines the risk population and selects transactions for testing under EY's sample-first baseline.","handoff_to":"Audit reviewer","control":"Auditing standards and engagement methodology; EY does not publish a baseline cycle time."},{"order":2,"actor":"Auditor","action":"Examines selected transactions and follows anomalies through client evidence.","handoff_to":"Audit partner","control":"Professional skepticism and partner review; the source does not quantify sample size."}],"after":[{"order":1,"actor":"Client data and EY Helix","action":"Loads general-ledger and subledger data and runs full-population analyses across ERP systems.","handoff_to":"Engagement audit team","control":"Data provenance, quality, lineage, and analyzer configuration are explicit controls."},{"order":2,"actor":"Engagement auditor","action":"Uses patterns and outliers to target follow-up questions and additional audit procedures.","handoff_to":"Audit partner","control":"Auditors retain evidence evaluation and the audit opinion; no anomaly is an autonomous finding."}],"decision_rights":"Audit partner and auditors retain all assurance conclusions; AI prioritizes evidence.","exception_path":"Unreliable provenance or data quality requires conventional or expanded testing.","removed_work":["Sample-first population screening as the only initial method"],"outcomes":[{"metric":"Population coverage","baseline":"Statistical samples","result":"Approximately 480 billion general-ledger lines loaded into the US analyzer in FY2025","period":"Fiscal 2025","scale":"US audit clients; global platform","attribution_caveat":"Operator-reported coverage, not causal audit-quality evidence.","evidence_label":"reported"}],"executive_lesson":"Population coverage changes the audit queue; it does not transfer the opinion to AI.","anti_pattern":"Do not equate population screening with substantive audit of every transaction.","questions_for_leaders":["Where is the operating threshold set and who can override it?","What measured result would trigger rollback or retraining?","Which residual decisions must remain human-owned?"],"collections":["regulated-autonomy"],"bundle_version":"1.0.0","bundle_fingerprint":"sha256:c23c6cc2b88153d008ea8fda928f632ce0011fc2d4c5036672a16e5d895bab93","canonical_url":"https://brianletort.ai/transformations/ey-helix-full-population-audit"}