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AI-Powered Audit & Data Analytics Masterclass

This comprehensive masterclass is designed to equip professionals with the knowledge and practical skills required to leverage Artificial Intelligence (AI) ... Show more
Instructor
Obada Hatab
15 Students enrolled
  • Description
  • Curriculum
  • Course Dates
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Participants will explore how data analytics, fraud detection methods, matching techniques, and predictive analytics can be applied within internal audit frameworks to deliver more effective and insightful audit outcomes.

Learning Objectives

By the end of this course, participants will be able to:

  • Understand the role of AI and Data Analytics in modern auditing
  • Apply data analytics tools, techniques, and processes in audits
  • Work with databases, data formats, and data structures
  • Perform data importing and integrity verification
  • Use ACL for advanced data analysis and continuous auditing
  • Detect fraud patterns and anomalies using analytical techniques
  • Implement continuous monitoring and automation in auditing

Who Should Attend

This course is ideal for:

  • Internal Auditors
  • External Auditors
  • Financial Professionals
  • Information Systems Auditors
  • Operational Experts
  • Risk & Compliance Professionals

 

Date: June 21st to 23rd

Training Agenda

DAY 1: Foundations & The Data-Driven Audit Focus: Establishing the "Single Source of Truth" and using AI to bridge technical gaps

  1. The Modern ACL Interface
  2. Navigating the v19 workspace, project organization, and the Log.
  3. Intelligent Data Acquisition
  4. Using the Data Definition Wizard to import ERP tables (SAP, Oracle)
  5. ACL ExpressionsDynamic Calculations
  6. Using the side-panel assistant to generate complex Filters and Computed Fields without manual coding
  1. Data Integrity Baseline
  • VERIFY (finding data errors),
  • TOTAL (control totals),
  • STATISTICS
  • (finding outliers in invoice amounts using Benford & outlier )
 
DAY 2: Relational Analysis & Forensic AI Focus: Connecting the P2P cycle and using AI to analyse unstructured human intent.  
  1. Data Harmonization:
  2. UPPER(), ALLTRIM(), and CLEAN() to standardize vendor names across different systems.
  3. Relational Logic (The Three-Way Match):
  4. JOIN and RELATE to connect POs, Receiving Reports, and Invoices.
    1. Activity
    2. Behavioral Auditing (Internal Controls):
  5. SUMMARIZE on "User ID" and "Date" to identify Split Purchases designed to bypass approval limits.
  6. The v19 AICOMMAND VERIFY (finding data errors)
  7. Scenario: Analyzing the "Description" or "Comments" field.
    • Sending unstructured text to AI to flag "Suspicious Intent" (e.g., phrases like "urgent pay" or "documentation to follow").

DAY 3: Strategic Automation & Board Reporting Focus: Turning one-time audits into continuous monitoring and executive insights

 

  1. Using the Command Log to auto-generate ACLScript for repeatable P2P testing.
  2. Continuous Monitoring with Robots:
  3. Uploading local scripts to the Diligent HighBond Robots Agent for 24/7 automated oversight.
  4. Exception Management & Remediation
  5. Pushing findings to the Results module to assign tasks to managers for follow-up.
  6. Executive Insights (Strategic Reporting)- Storyboard

 

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AI-Powered Audit & Data Analytics Masterclass
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$1500
Course details
Duration June 21st to 23rd
Topics Covered 3
Level Intermediate
Basic info

Price: $1500

Key Benefits

  • Enhance audit efficiency using AI-driven tools
  • Improve fraud detection and risk assessment capabilities
  • Automate audit processes and reduce manual effort
  • Gain practical, industry-relevant analytics skills
  • Learn from real-world case studies and expert insights