Technologies / Artificial Intelligence

AI-enabled auditing: from data analytics to anomaly detection

A training course dedicated to professionals from audit, finance and internal control departments, focusing on the practical application of AI to transform the audit process. The program includes analysis of 100% data populations, automation of documentation review and advanced fraud and anomaly detection techniques. The workshop methodology provides direct experience with AI tools in an audit context.

Issues

AI in auditing
Natural language processing
Anomaly detection
Machine Learning
Risk analysis
Fraud detection
Automation of documentation
Sampling vs population analysis
Early warning systems
Compliance and regulation
Audit reporting
AI-supported procedures

Benefits

Analyzing 100% of the data population instead of sampling will increase audit accuracy and scope
Automation of documentation review will reduce audit project turnaround time by 60%
Real-time anomaly detection will enable proactive risk management
Standardization of audit processes will ensure consistency and quality of work performed
Reduction of time-consuming manual tasks will enable focus on analysis and interpretation of results
Improved fraud detection will be achieved through advanced algorithms
Documentation of AI procedures will ensure compliance with regulatory requirements

Who is this training for?

Specialists in the Audit (Assurance) department.

Internal and external auditors

Internal control specialists

Risk analysts

Specialists in the field. compliant

Managers of financial departments

Fraud detection experts

Prerequisites

Experience in conducting internal or external audits
Knowledge of basic accounting and financial processes
Ability to analyze financial data and interpret ratios
Basic knowledge of irregularity detection and risk management methods

Training program

Transformation of traditional audit processes
AI vs traditional sampling methods
AI-assisted risk assessment
Data-driven audit planning

Contract processing using NLP
Analysis of invoices and accounting documents
Review of protocols and reports
Extraction of key information

Machine learning in identifying anomalies
Analysis of transaction patterns
Early warning systems
Fraud risk modeling

Work on real data sets
Implementation of anomaly detection tools
Documenting AI-assisted procedures
Reporting of audit results

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For AI-enabled auditing: from data analytics to anomaly detection we recommend: Experience in conducting internal or external audits; Knowledge of basic accounting and financial processes; Ability to analyze financial data and interpret ratios.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Specialists in the Audit (Assurance) department.; Internal and external auditors; Internal control specialists.

What practical skills will I gain from this training?

You will gain skills to analyze 100% of data populations using AI tools, automate documentation review processes, implement real-time anomaly and fraud detection, and standardize audit processes to ensure consistency and quality.

What topics does the program cover?

The program covers the strategic role of AI in auditing, automation of document review, anomaly and fraud detection techniques, and practical workshops applying AI tools directly in an audit context.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in AI-enabled auditing and data analytics for anomaly detection. The certificate is recognized by employers in the IT industry.