MAM: Risk Identification & Assessment
ISA: ISA 315R 2019
Module: operations.audit.karma
Mission
This programme is an ABI module with its own agent and Nexus app. Production tooling for each sub-solution is not built yet. The list below is the mission contract from the digested catalog.
Sub-solutions (3)
KARMA-1High-Level Risk Radar (FS Level) (5 tasks) · ML (supervised) + Raw LLMKARMA-2Assertion-Level Risk Deep Dive (6 tasks) · ML (supervised) + Agentic LLMKARMA-PARAI-Augmented Preliminary Analytical Review (5 tasks) · Predictive ML + External data feeds
Task-skill pairs (16)
| ID | Sub-solution | Task | Skill |
|---|---|---|---|
| K1-01 | KARMA-1 | Extract key financial metrics from client FS (revenue, EBITDA, working capital, leverage ratios) | FSMetricExtractorSkill |
| K1-02 | KARMA-1 | Benchmark client metrics against sector peers using the Forvis Mazars Atlas database | SectorBenchmarkSkill |
| K1-03 | KARMA-1 | Identify accounts and areas where the client deviates materially from sector expectations | OutlierFlagSkill |
| K1-04 | KARMA-1 | Identify entity-level risk factors (complexity, unusual transactions, sector-specific risks, macro environment) | EntityRiskProfilerSkill |
| K1-05 | KARMA-1 | Generate narrative risk commentary for the FS-level risk assessment section of the audit file | RiskCommentarySkill |
| K2-01 | KARMA-2 | Cycle through each material account balance and transaction class, applying the assertion-level risk identification framework | AssertionDrillDownSkill |
| K2-02 | KARMA-2 | Generate WCGW (What Could Go Wrong) statements per account and assertion | WCGWGeneratorSkill |
| K2-03 | KARMA-2 | Classify identified risks as SCOTABD, MCOTABD, or not-MCOTABD | COTABDClassifierSkill |
| K2-04 | KARMA-2 | Assess inherent risk level (magnitude and likelihood) for each identified RMM | InherentRiskAssessorSkill |
| K2-05 | KARMA-2 | Assess control risk based on PRODIGY design assessment outputs | ControlRiskAssessorSkill |
| K2-06 | KARMA-2 | Pre-populate the Atlas Risk Assessment Matrix with identified RMMs and their ratings | AtlasRiskPopulatorSkill |
| KP-01 | KARMA-PAR | Calculate financial ratios and trends from client FS data (YoY, QoQ, gross margin, DSO, DPO, inventory turnover, leverage) | RatioComputerSkill |
| KP-02 | KARMA-PAR | Retrieve publicly available sector benchmarks and macroeconomic indicators for comparison | ExternalBenchmarkFetcherSkill |
| KP-03 | KARMA-PAR | Build predictive model of expected account balances for the audit period | BalancePredictorSkill |
| KP-04 | KARMA-PAR | Flag accounts where actual balances deviate materially from predicted values (unexplained differences > planning materiality) | AnomalyFlagSkill |
| KP-05 | KARMA-PAR | Draft preliminary analytical review working paper including explanations for noted fluctuations | PARNarratorSkill |