Manual Risk Assessment

Teams Spend Hours

Identifying Risks

Auditors manually scan transactions and documents, increasing review fatigue and missed material anomalies.

Limited Population Review

Large populations make unusual transactions difficult to identify through manual review.

Inconsistent Risk Judgement

Risk identification varies when teams rely heavily on individual judgement.

Disconnected Risk Signals

Risk signals scattered across transactions, accounts and separate workpapers.

Intelligent Risk Assessment

Turn Transaction Data Into

Actionable Risk Signals

dynamic risk scoring

Intelligent Risk Prioritization

Review complete ledger transactions, detect anomalies instantly and explain each risk signal using transparent context-driven logic aligned to technical standards.

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context driven

Customizable Risk Parameters

Machine learning based scoring

Customiszable risk parameters

Contextual anomaly flags

Explainable risk drivers

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audit clarity

Every Risk Fully Explained

Assertion Mapping

Link risks directly to financial statement assertions.

Control Relationships

Visualize connections between risks and internal controls.

Scoring Transparency

Access detailed reasoning behind every flagged risk.

Transaction Drilldown

Analyze underlying entries supporting each risk signal

Risk Features

Capabilities Powering

Intelligent Risk Assessment

Risk Intelligence Dashboard

Real-time centralized dashboard for risk scores at Financial Statement Line Item and transaction level.

Preset Risk Rules

Apply 20+ built-in risk-based rules mapped to controls and assertions.

Custom Risk Scoring

Adjust AI-generated scores to reflect professional judgment and engagement context.

Editable Risk Assertions

Modify risk mappings. update assertions and document reasoning within a single interface.

Explainable AI Decisions

Access clear logic, control triggers, and supporting references behind every risk score.

ML-Driven Analysis

Continuously improve anomaly detection using machine learning trained on audit patterns.

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Substantive Testing

Automate evidence collection and workflows

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Financial Statement Validation

Automate evidence collection and workflows

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Review
Every Transaction

Teams Spend Hours

Identifying Risks

Turn Transaction Data Into