AI-Driven Due Diligence and Contract Auditing

Course AGRC-011

AI-Driven Due Diligence and Contract Auditing

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Classroom

19 sessions
5 - 9 October 2026 €1,925 + VAT Register
12 - 16 October 2026 €3,280 + VAT Register
9 - 13 November 2026 €2,315 + VAT Register
16 - 20 November 2026 €2,815 + VAT Register
7 - 11 December 2026 €3,225 + VAT Register
14 - 18 December 2026 €2,315 + VAT Register
21 - 25 December 2026 €3,225 + VAT Register
4 - 8 January 2027 €1,625 + VAT Register
1 - 5 February 2027 €2,815 + VAT Register
1 - 5 March 2027 €1,875 + VAT Register
5 - 9 April 2027 €1,925 + VAT Register
3 - 7 May 2027 €3,280 + VAT Register
7 - 11 June 2027 €2,315 + VAT Register
5 - 9 July 2027 €1,925 + VAT Register
2 - 6 August 2027 €3,280 + VAT Register
6 - 10 September 2027 €2,315 + VAT Register
4 - 8 October 2027 €2,815 + VAT Register
1 - 5 November 2027 €3,225 + VAT Register
6 - 10 December 2027 €2,315 + VAT Register
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Online / Live

19 sessions
5 - 9 October 2026 €1,215 + VAT Register
12 - 16 October 2026 €1,215 + VAT Register
9 - 13 November 2026 €1,215 + VAT Register
16 - 20 November 2026 €1,215 + VAT Register
7 - 11 December 2026 €1,215 + VAT Register
14 - 18 December 2026 €1,215 + VAT Register
21 - 25 December 2026 €1,215 + VAT Register
4 - 8 January 2027 €1,215 + VAT Register
1 - 5 February 2027 €1,215 + VAT Register
1 - 5 March 2027 €1,215 + VAT Register
5 - 9 April 2027 €1,215 + VAT Register
7 - 11 June 2027 €1,215 + VAT Register
5 - 9 July 2027 €1,215 + VAT Register
2 - 6 August 2027 €1,215 + VAT Register
6 - 10 September 2027 €1,215 + VAT Register
4 - 8 October 2027 €1,215 + VAT Register
1 - 5 November 2027 €1,215 + VAT Register
6 - 10 December 2027 €1,215 + VAT Register
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Introduction

Course overview

Artificial Intelligence is transforming how organizations conduct due diligence, assess risks, and manage contract auditing activities. This course provides participants with practical knowledge of AI technologies and their applications in automating contract analysis, improving risk identification, strengthening compliance monitoring, and supporting more accurate and efficient auditing processes.

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What you will achieve

Learning objectives

  • Understand the role of AI in due diligence and contract auditing
  • Apply AI techniques for contract review and document analysis
  • Identify risks and anomalies using AI-supported methods
  • Strengthen compliance monitoring and legal assessment processes
  • Utilize AI-driven insights for decision-making and contract management
  • Develop frameworks for implementing AI in auditing environments
  • Evaluate future trends and challenges related to AI adoption

Who should attend

Target audience

  • Internal auditors
  • Compliance officers
  • Risk management professionals
  • Contract administrators
  • Legal professionals
  • Procurement and contract managers
  • Governance professionals involved in due diligence activities
  • Target Competencies

Methodology

Learning approach

  • This course uses an interactive and practical methodology including presentations, case studies, demonstrations of AI applications, hands-on exercises, group discussions, practical workshops, and real-world auditing scenarios.

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Foundations of AI in Due Diligence and Contract Auditing

  1. Understanding the impact of AI on modern auditing and contract management practices
  2. Exploring the role of AI in due diligence and risk evaluation processes
  3. Comparing intelligent document analysis with conventional audit approaches
  4. Understanding machine learning concepts and language processing applications in auditing
  5. Coffee break
  6. Understanding machine learning concepts and language processing applications in auditing (continued)
  7. Reviewing the role of data and automation in contract review activities
  8. Examining practical applications and industry use cases of AI-enabled contract analysis

Day 2

Intelligent Contract Analysis and Information Processing

  1. Understanding how AI supports high-volume contract review processes
  2. Extracting and categorizing critical contractual information through intelligent systems
  3. Identifying unusual patterns and inconsistencies in contractual data
  4. Improving contract compliance monitoring using AI-supported techniques
  5. Coffee break
  6. Improving contract compliance monitoring using AI-supported techniques (continued)
  7. Exploring workflow automation within contract analysis environments
  8. Practical workshop on AI-supported contract assessment activities

Day 3

AI for Risk Analysis and Fraud Prevention

  1. Applying AI methods for risk scoring and predictive analysis
  2. Identifying irregular activities and potential indicators of fraud within contracts
  3. Understanding AI applications in regulatory monitoring and reporting activities
  4. Reviewing practical examples of intelligent fraud detection systems
  5. Coffee break
  6. Reviewing practical examples of intelligent fraud detection systems (continued)
  7. Applying AI-supported approaches for reducing risk exposure
  8. Practical exercise on implementing risk mitigation strategies

Day 4

Compliance Management and Legal Due Diligence

  1. Monitoring contract obligations and regulatory requirements through AI technologies
  2. Applying AI techniques for compliance assessment and regulatory monitoring
  3. Understanding intelligent contract lifecycle management and audit tracking systems
  4. Using AI-generated insights to support contract review and negotiation decisions
  5. Coffee break
  6. Using AI-generated insights to support contract review and negotiation decisions (continued)
  7. Strengthening legal due diligence processes and compliance visibility
  8. Practical session on legal and compliance risk assessment techniques

Day 5

Future Trends and AI Implementation Frameworks

  1. Exploring future developments in AI-supported auditing and due diligence practices
  2. Understanding ethical considerations and privacy concerns in AI implementation
  3. Addressing common challenges related to AI adoption within audit functions
  4. Developing implementation frameworks for AI-based contract auditing systems
  5. Coffee break
  6. Developing implementation frameworks for AI-based contract auditing systems (continued)
  7. Evaluating organizational readiness for digital auditing transformation
  8. Final workshop: Designing an AI-driven contract auditing and compliance strategy

FAQ

Frequently asked questions

What does AI-Driven Due Diligence and Contract Auditing (AGRC-011) cover?

This course covers Auditing and Governance Risk and Compliance through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 5 - 9 October 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Internal auditors, Compliance officers, Risk management professionals

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Kuala lumpur, Amsterdam, London, Barcelona, Munich, Cape Town, Frankfurt.

How long is the training programme?

The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.