Data Analytics, Machine Learning & Artificial Intelligence Training Courses > Applied AI in Contract Management, Risk & Claims in the Energy Industry – Master Prompts, Workflows, Quality Assurance and Governance
Code Date Format Currency Team of 10
Per Person*
Team of 7
Per Person*
Early Bird Fee
Per Person
Normal Fee
Per Person
PE2389 26 - 28 Jul 2027 Kuala Lumpur, Malaysia SGD 4,213 4,409 4,699 4,899
PE2389 26 - 28 Jul 2027 Kuala Lumpur, Malaysia USD 3,439 3,599 3,799 3,999
PE2389 26 - 28 Jul 2027 Bali, Indonesia SGD 4,213 4,409 4,699 4,899
PE2389 26 - 28 Jul 2027 Bali, Indonesia USD 3,439 3,599 3,799 3,999
PE2390 19 - 21 Oct 2027 Kuala Lumpur, Malaysia SGD 4,213 4,409 4,699 4,899
PE2390 19 - 21 Oct 2027 Kuala Lumpur, Malaysia USD 3,439 3,599 3,799 3,999
PE2390 19 - 21 Oct 2027 Bali, Indonesia SGD 4,213 4,409 4,699 4,899
PE2390 19 - 21 Oct 2027 Bali, Indonesia USD 3,439 3,599 3,799 3,999

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on [email protected] to learn more today!

Code

PE2389

Date

26 - 28 Jul 2027

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

4,213

Team of 7
Per Person*

4,409

Early Bird Fee
Per Person

4,699

Normal Fee
Per Person

4,899

Code

PE2389

Date

26 - 28 Jul 2027

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

3,439

Team of 7
Per Person*

3,599

Early Bird Fee
Per Person

3,799

Normal Fee
Per Person

3,999

Code

PE2389

Date

26 - 28 Jul 2027

Format

Bali, Indonesia

Currency

SGD

Team of 10
Per Person*

4,213

Team of 7
Per Person*

4,409

Early Bird Fee
Per Person

4,699

Normal Fee
Per Person

4,899

Code

PE2389

Date

26 - 28 Jul 2027

Format

Bali, Indonesia

Currency

USD

Team of 10
Per Person*

3,439

Team of 7
Per Person*

3,599

Early Bird Fee
Per Person

3,799

Normal Fee
Per Person

3,999

Code

PE2390

Date

19 - 21 Oct 2027

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

4,213

Team of 7
Per Person*

4,409

Early Bird Fee
Per Person

4,699

Normal Fee
Per Person

4,899

Code

PE2390

Date

19 - 21 Oct 2027

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

3,439

Team of 7
Per Person*

3,599

Early Bird Fee
Per Person

3,799

Normal Fee
Per Person

3,999

Code

PE2390

Date

19 - 21 Oct 2027

Format

Bali, Indonesia

Currency

SGD

Team of 10
Per Person*

4,213

Team of 7
Per Person*

4,409

Early Bird Fee
Per Person

4,699

Normal Fee
Per Person

4,899

Code

PE2390

Date

19 - 21 Oct 2027

Format

Bali, Indonesia

Currency

USD

Team of 10
Per Person*

3,439

Team of 7
Per Person*

3,599

Early Bird Fee
Per Person

3,799

Normal Fee
Per Person

3,999

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

About this Training Course

Artificial intelligence (AI) is changing how organisations review contracts, identify commercial risks, manage obligations and support legal and project functions. Generative AI can assist professionals in extracting contractual provisions, comparing clauses, identifying obligations, analysing deviations, preparing claims chronologies and generating structured management reports. However, effective application requires more than simply asking an AI system to review a contract. Professionals must understand how to structure AI-assisted analysis, verify outputs and recognise hallucinations, omissions, contextual errors and unsupported conclusions.

This three-day programme provides a practical framework for applying AI across contract review, commercial risk management and legal operations. Participants explore how AI can support contract architecture analysis, obligation extraction, high-risk clause review, procurement and tender evaluation, negotiation preparation, change and variation analysis, claims management and contract lifecycle activities. Practical exercises, case studies and structured templates enable participants to apply AI-assisted techniques to realistic contractual and commercial scenarios.

The programme also addresses the professional controls required for responsible AI adoption. Participants examine confidentiality, legal privilege, data protection, information security, human-in-the-loop validation and AI governance, while learning how to distinguish AI-assisted analysis from professional judgment and decision-making. The programme concludes with approaches for developing controlled AI-enabled workflows and implementation strategies for contract, commercial and legal functions.

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

  • Apply AI to complex contract analysis by using structured prompts and workflows to identify obligations, rights, dependencies, deviations and high-risk provisions.
  • Use AI to assess commercial exposure and contractual risk, including liability, indemnities, warranties, payment, variations, procurement, negotiation and claims.
  • Develop AI-assisted contract and commercial work products, including risk registers, obligations matrices, contract summaries, negotiation analyses, claims chronologies and evidence matrices.
  • Critically evaluate AI-generated contractual and commercial analysis, identifying hallucinations, omissions, contextual errors, unsupported conclusions and other AI failure modes.
  • Design responsible AI-enabled workflows incorporating human validation, confidentiality, privilege, data protection, governance and professional accountability.

This programme is designed for experienced professionals who already understand contracts, commercial processes, procurement, projects or legal operations and want to integrate AI into their existing professional workflows.

It is particularly relevant to professionals working on complex contracts and major capital projects where contractual obligations, commercial exposure, claims, changes and negotiations involve substantial financial and operational consequences.

  • Contract Manager
  • Senior Contract Manager
  • Contracts Administrator
  • Commercial Manager
  • Senior Commercial Manager
  • Project Manager
  • Project Controls Manager
  • Legal Counsel
  • Senior Legal Counsel
  • Procurement Manager
  • Strategic Procurement Manager
  • Procurement Specialist
  • Project Commercial Manager
  • Intermediate

The programme uses a practical, instructor-led and workshop-based approach, combining concise technical briefings with demonstrations, contract-analysis exercises, guided AI prompting, case studies, group discussions and practical simulations. Participants work with realistic contract and commercial scenarios to apply AI-assisted methods to obligations, risk, procurement, negotiation, variations and claims. Exercises are followed by instructor-led review and discussion, enabling participants to compare AI-generated outputs against contractual evidence and professional judgment. The programme culminates in an integrated capstone exercise applying the methodologies across a complete contract and commercial scenario.

Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.

In our ongoing commitment to sustainability and environmental responsibility, we will no longer providing hard copy training materials. Instead, all training content and resources will be delivered in digital format. Inspired by the oil and energy industry’s best practices, we are leveraging on digital technologies to reduce waste, lower our carbon emissions, ensuring our training content is always up-to-date and accessible. Click here to learn more.

To further optimise your learning experience from our courses, we also offer individualised coaching support. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It can be delivered virtually through video conference or face to face by one of our senior subject matter experts. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Learn more about our post training coaching services here.
1. What is AI in contract management for energy projects?

AI in contract management helps teams review agreements, track obligations, and identify risks. In energy projects, AI can analyse EPC contracts and highlight important terms. For example, it can identify payment terms, deadlines, and liability clauses. However, contract professionals must verify AI-generated findings against the original documents.

2. How does AI in contract management help identify commercial risks?

AI tools can flag contract risks linked to liability, warranties, insurance, and payment terms. They can also group these risks into a contract risk register. As a result, energy project teams can identify potential issues earlier. However, experts must review the findings before making commercial decisions.

3. How can AI-assisted contract analysis support claims and variations?

AI-assisted contract analysis helps teams review change requests, project records, and claims documents. For example, it can create event timelines and organise supporting evidence. In addition, AI can help identify delays, scope changes, and extra costs in EPC projects. However, experts must verify the evidence and assess contractual rights.

4. How does AI contract review compare with traditional manual review?

AI in contract management can speed up clause searches, contract summaries, and initial reviews. In addition, it helps teams apply consistent checks across multiple documents. However, AI may miss important details or misread contract terms. Therefore, legal and commercial teams must verify its findings before making decisions.

5. What are the main challenges of AI-assisted contract management?

Common challenges include incorrect results, missing clauses, data security risks, and limited oversight. For example, using unapproved AI tools may expose confidential contract information. To reduce these risks, companies need secure systems and clear review procedures. In addition, human oversight helps maintain accuracy and accountability.

6. What is the future of AI in contract management and claims?

AI in contract management is expected to support more contract reviews, risk tracking, and claims analysis. For example, AI tools may help monitor contract deadlines and identify recurring risks. In addition, future systems may improve document analysis across large energy projects. However, human judgment, data protection, and clear governance will remain essential.

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