Auditing and Governance Risk and Compliance

AI-Driven Due Diligence and Contract Auditing

This course focuses on leveraging AI technologies to enhance due diligence and contract auditing processes. Participants will learn to apply AI tools for risk assessment, compliance checks, and efficiency improvements, ultimately leading to more informed decision-making in contractual agreements.

5 days Classroom or live online English

Smart Horizon Certified - Global Leadership Consultants

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Download the full standard outline: why attend, methodology, objectives, audience, competencies, the daily outline and current plans.

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Why attend

From knowledge to real-world impact.

Due diligence and contract auditing are critical processes that significantly impact business operations and risk management. Professionals often face challenges in ensuring compliance, identifying risks, and managing large volumes of data. This course addresses these issues by introducing AI-driven methodologies that streamline these processes. Participants will learn to utilise AI tools to automate data analysis, enhance accuracy, and improve efficiency, enabling them to make more informed decisions and mitigate potential risks effectively. The integration of AI into these processes not only saves time but also enhances the overall quality of audits and due diligence assessments.

Participants will gain practical skills in using AI tools and techniques for due diligence and contract auditing. They will engage in hands-on exercises that simulate real-world scenarios, allowing them to practice risk assessment, compliance verification, and data analysis. By working with AI technologies, attendees will develop capabilities to interpret complex data sets, identify anomalies, and produce actionable insights. This course empowers professionals to implement AI solutions in their organisations, enhancing operational efficiency and accuracy in contract management while preparing them for the evolving landscape of technology in auditing.

Workplace challenges

Professional Problems This Course Is Designed to Solve

The programme explores practical approaches to the following challenges. Results depend on how the learning is applied in your organisation.

Difficulty translating subject knowledge into practical workplace decisions.
Inconsistent approaches to the activities covered in the course outline.
Lack of a structured plan for applying and reviewing new skills.

Course methodology

How you will learn.

The course employs a blend of case studies, hands-on workshops, and simulations to build practical capabilities in AI-driven due diligence and contract auditing. Participants will engage in exercises that require them to analyse contract data using AI tools, assess compliance risks, and develop auditing strategies. Through collaborative projects, they will simulate real-world scenarios that demand critical thinking and decision-making. Outputs will include risk assessment reports, compliance checklists, and contract audit plans, demonstrating their ability to apply learned concepts in realistic contexts. This approach ensures that participants not only understand theoretical aspects but also gain practical experience in implementing AI solutions effectively.

Course objectives

What you'll take away.

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

Analyse AI tools for due diligence and contract auditing processes, identifying their specific applications.
Evaluate compliance risks in contracts using AI-driven methodologies, focusing on data integrity and accuracy.
Design a risk assessment framework tailored to specific contractual agreements, incorporating AI insights.
Construct a comprehensive contract audit plan incorporating AI insights and best practices for efficiency.
Prioritise key areas of focus during contract reviews based on AI analysis and risk assessment findings.
Justify the selection of AI tools for enhancing auditing efficiency and accuracy, considering organisational needs.
Interpret AI-generated reports to inform decision-making in contract management and risk mitigation.

Target audience

Who should attend.

This course is suitable for:

Contract Managers: Responsible for overseeing contract compliance and risk management.
Legal Advisors: Focused on ensuring legal compliance and mitigating risks in contracts.
Compliance Officers: Tasked with maintaining regulatory compliance in contractual agreements.
Risk Analysts: Engaged in identifying and assessing risks associated with contracts.

Target competencies

Capabilities you will build.

Participants will develop competencies in:

Utilising AI tools for data analysis in contract auditing.
Conducting thorough compliance checks using automated systems.
Implementing risk assessment frameworks in contract management.
Developing effective auditing strategies based on AI insights.
Interpreting AI-generated reports for decision-making.
Communicating audit findings and recommendations clearly.

Course outline

Your learning journey.

A focused, practical outline with time to explore, apply and reflect.

Day 1Understanding AI in Due Diligence and Contract Auditing

Applied activity: Participants will analyse a fictional contract using AI tools to identify potential risks and compliance issues. They will discuss their findings in groups, focusing on the implications of identified risks and how to address them effectively.

Output: A risk assessment report highlighting key compliance issues and recommendations for mitigation.

09:00–09:54Introduction to AI technologies relevant to auditing and due diligence processes.
09:54–10:48Key principles of due diligence and its importance in contract management.
10:48–11:00Overview of contract auditing processes and common challenges faced by professionals.
11:00–11:30Coffee break
11:30–12:12Overview of contract auditing processes and common challenges faced by professionals. (continued)
12:12–13:06AI's role in enhancing data analysis, risk assessment, and decision-making.
13:06–14:00Ethical considerations and compliance in the application of AI technologies.

Day 2Implementing AI Tools for Risk Assessment

Applied activity: Using a selected AI tool, participants will extract data from a sample contract and assess potential risks. They will then present their risk evaluations to the group, discussing the implications of their findings and recommended actions.

Output: A presentation summarising risk findings, including suggested mitigation strategies based on AI analysis.

09:00–09:54Identifying suitable AI tools for contract auditing and due diligence tasks.
09:54–10:48Setting up AI systems for efficient data extraction and analysis processes.
10:48–11:00Understanding machine learning algorithms for predicting compliance risks.
11:00–11:30Coffee break
11:30–12:12Understanding machine learning algorithms for predicting compliance risks. (continued)
12:12–13:06Integrating AI tools into existing auditing workflows for enhanced efficiency.
13:06–14:00Evaluating the effectiveness of AI-driven risk assessments in real-world scenarios.

Day 3Developing a Risk Assessment Framework

Applied activity: Participants will work in teams to develop a risk assessment framework for a fictional contract scenario, incorporating AI insights and stakeholder input. They will present their frameworks to the class for feedback.

Output: A documented risk assessment framework ready for implementation, including identified risks and mitigation strategies.

09:00–09:54Components of a robust risk assessment framework for contract management.
09:54–10:48Tailoring risk assessment criteria to specific contracts and organisational needs.
10:48–11:00Utilising AI insights to inform risk prioritisation and management strategies.
11:00–11:30Coffee break
11:30–12:12Utilising AI insights to inform risk prioritisation and management strategies. (continued)
12:12–13:06Collaborating with stakeholders for comprehensive risk analysis and input.
13:06–14:00Documenting and reporting risk assessment outcomes for transparency and accountability.

Day 4Creating a Comprehensive Contract Audit Plan

Applied activity: Participants will draft a contract audit plan for a fictional contract, detailing the use of AI tools and methodologies. They will ensure the plan addresses potential risks and compliance issues identified earlier in the course.

Output: A comprehensive contract audit plan outlining objectives, methods, timelines, and responsible parties.

09:00–09:54Elements of an effective contract audit plan, including scope and objectives.
09:54–10:48Leveraging AI for efficient data collection and analysis during audits.
10:48–11:00Establishing audit timelines, resource allocation, and team responsibilities.
11:00–11:30Coffee break
11:30–12:12Establishing audit timelines, resource allocation, and team responsibilities. (continued)
12:12–13:06Identifying key performance indicators for measuring auditing success and effectiveness.
13:06–14:00Communicating audit plans to stakeholders for alignment and support.

Day 5Integrating AI Insights into Contract Management

Applied activity: In a final group project, participants will integrate AI insights into a complete contract management strategy, addressing potential risks and compliance issues identified throughout the course. They will present their strategies to the class.

Output: A strategic contract management proposal incorporating AI-driven insights and recommendations for future improvements.

09:00–09:54Best practices for integrating AI findings into contract management processes and workflows.
09:54–10:48Continuous improvement through AI feedback loops and data-driven insights.
10:48–11:00Case studies of successful AI integration in auditing and contract management.
11:00–11:30Coffee break
11:30–12:12Case studies of successful AI integration in auditing and contract management. (continued)
12:12–13:06Future trends in AI and their implications for contract auditing practices.
13:06–14:00Preparing for AI advancements in due diligence and contract management.

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.

Dates & venues

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Confirmed dates accept registration requests. Tentative dates are enquiry only.

Good to know

A few things to know.

How is the course delivered?

Our classroom programmes combine facilitated discussion, case studies, exercises and reflection. The precise format will be confirmed before enrolment.

Can you deliver this programme for our team?

Yes, you can enquire about a tailored programme. Share your goals, group size and preferred dates with our learning team.

Will I receive a certificate?

Participants who complete the programme receive a Smart Horizon UK certificate of attendance. Smart Horizon UK programmes are not externally accredited and do not award a professional qualification, licence or designation. Where a course title or outline refers to a professional certification (for example, AACE International's Certified Cost Professional), the programme supports learning and preparation only; the credential itself is awarded solely by the relevant professional body under its own application and examination requirements.

What should I confirm before booking travel?

Please confirm the session, exact venue, accessibility arrangements, fees and any visa requirements with the team before arranging travel. Tentative dates are not confirmed sessions.

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