Audit Evidence Collection

Financial transaction and ERP data analyzed continuously to automate audit evidence collection and anomaly detection.

Business impact

• Audit cycle time — Shortens audit duration by automating evidence gathering and anomaly detection
• Data accuracy — Enhances reliability by continuously scrutinizing financial data for anomalies

Data requirements

• Financial transaction records (Structured) — Used to detect anomalies and validate audit evidence continuously
• ERP and General Ledger data (Structured) — Integrates operational and accounting data for comprehensive audit analysis
• Audit logs and workflows (Text) — Tracks process changes and supports audit trail verification

AI methods and techniques

• Predictive AI — Identifies potential anomalies and exceptions in financial data proactively
• Agentic AI — Autonomously collects audit evidence and manages audit workflows with minimal human input

AI models and model families

Workday Illuminate, GPT-4o, Claude