Internal Audit
Self-service analytics and data democratization
Enable risk-based auditing with continuous monitoring and data-driven audit planning
Audit teams spend significant time on manual data extraction and analysis, limiting coverage and the ability to perform continuous auditing.
An audit analytics platform with automated data extraction, continuous monitoring, and AI-powered risk assessment for audit planning.
Current Assessment
Analytics maturity and readiness evaluation
- Strong audit methodology
- Clear risk framework
- Management support
- !Manual data extraction
- !Limited continuous monitoring
- !Point-in-time auditing only
Portfolio Overview
Current analytics assets and usage metrics
Implementation Roadmap
Phased approach to analytics enablement
Foundation
- Audit Dashboard
- Risk Assessment Tool
- Data Extraction Automation
Expansion
- Continuous Monitoring
- Exception Reporting
- Trend Analysis
Advanced
- AI Risk Scoring
- Predictive Audit Planning
- Real-time Anomaly Detection
Initiatives Progress
Overall progress tracking for all initiatives
Initiatives Backlog
Analytics initiatives and projects for Internal Audit
Audit Analytics Dashboard
Centralized audit planning and execution tracking
- •Audit universe view
- •Audit plan tracking
- •Finding management
Data Extraction Automation
Automated data extraction from audit target systems
- •Extraction scripts
- •Data quality checks
- •Audit data mart
Risk Assessment Tool
Quantitative risk scoring for audit planning
- •Risk scoring model
- •Audit prioritization
- •Coverage analysis
Continuous Monitoring
Automated continuous monitoring for key controls
- •Control monitoring dashboard
- •Exception alerts
- •Trend analysis
AI Anomaly Detection
ML-based anomaly detection for audit procedures
- •Anomaly detection models
- •Risk indicators
- •Predictive audit planning