An Intensive 10-day Training Course

Artificial Intelligence (AI) in
Contract and Project Management

Leveraging AI for Optimized Contracting and Project Delivery

INTRODUCTION TO THE COURSE

The Artificial Intelligence (AI) in Contract and Project Management training course is designed to equip professionals with the skills and insights needed to integrate AI technologies into contract lifecycle management and project delivery. In today’s data-intensive and fast-paced business environment, the ability to harness AI is no longer optional but a strategic necessity. AI is redefining how contracts are drafted, reviewed, and negotiated, while also transforming project management through predictive analytics, automated scheduling, and advanced risk mitigation techniques.

This hands-on training course emphasizes practical applications, enabling participants to leverage AI tools to streamline processes, minimize errors, and enhance decision-making. By exploring real-world scenarios and using leading AI platforms, participants will gain a well-rounded understanding of AI’s role in elevating both contract and project management performance. This training course ensures that attendees are ready to implement AI innovations that drive efficiency, agility, and value within their organizations.

This Artificial Intelligence (AI) in Contract and Project Management training course will highlight:

  • A comprehensive understanding of AI’s role in contract management processes
  • AI applications in project planning, scheduling, and resource management
  • Utilizing AI-driven tools to predict and mitigate risks effectively
  • AI’s contribution to contract negotiations, dispute resolution, and compliance
  • Practical, hands-on experience with AI technologies for real-world application

This training course is split into two modules:

Module I - Artificial Intelligence (AI) in Contract Management

Module II - Artificial Intelligence (AI) in Project Management

Each module is structured and can be taken as a stand-alone training course; however, delegates will maximise their benefits by taking Module 1 and 2 back-to-back as a 2-week training course.

COURSE DETAILS

Objectives Icon

OBJECTIVES

By the end of the Artificial Intelligence (AI) in Contract and Project Management training course, participants will be able to:

  • Understand key contractual arrangements across industries and how AI enhances them
  • Apply AI tools to optimize project scheduling, resource management, and task allocation
  • Use AI-driven solutions for advanced risk assessment and mitigation
  • Leverage AI technologies for drafting, reviewing, and negotiating contracts
  • Evaluate the role of AI in dispute resolution and identify how it can improve negotiation outcomes

 

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TRAINING METHODOLOGY

Participants will engage in interactive lectures, practical exercises with AI tools, in-depth discussions, individual feedback sessions, and live demonstrations. This approach ensures a thorough understanding and application of the concepts taught.

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ORGANISATIONAL IMPACT

Organizations that invest in this training course will benefit from:

  • Enhanced efficiency and accuracy in contract and project management processes
  • Stronger risk management practices supported by predictive AI analytics
  • Shortened contract review cycles and accelerated project delivery timelines
  • Competitive advantage through the adoption of advanced AI technologies
  • Improved alignment of project outcomes with broader organizational objectives
  • Broadened AI capabilities across teams, enhancing cross-functional collaboration
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PERSONAL IMPACT

Participants will gain:

  • Advanced skills in AI-powered contract and project management tools
  • Greater confidence in leading complex projects and negotiations
  • Enhanced decision-making and problem-solving abilities backed by AI insights
  • Improved competence in drafting and negotiating favorable contract terms using AI support
  • Up-to-date understanding of emerging AI technologies in contract and project management
  • A strategic mindset for integrating AI into their roles and workflows
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WHO SHOULD ATTEND?

This training course will benefit all levels of personnel involved in any aspect of project procurement and implementation in commercial sectors. It will enable a broad range of disciplines to appreciate and understand the complexities of various industries, and how best to manage risk.

This KC Academy Artificial Intelligence (AI), Contract Management and Project Management training course is appropriate to a wide range of professionals but will greatly benefit:

  • Senior Managers
  • Legal Managers and Counsel
  • Commercial and Business Managers
  • Contracts Administrators and Managers
  • Project Managers and Team Leaders
  • IT Professionals in Project Teams

 

DAILY AGENDA

Module 1: Artificial Intelligence (AI) in Contract Management
Day 1: Introduction to Artificial Intelligence (AI) in Commercial Contracts
  • Overview of Business Structures and Contracting
  • Emergence of AI and its application in society and business
  • What can AI do and what it can’t do?
  • The benefits and risks of using AI tools for contract negotiation
  • Contract Formation: terms and conditions
Day 2: AI in Commercial Contracts Drafting: Enhancing Speed and Compliance
  • Can AI draft a commercial contract?
  • Remedies of Breach of Contracts
  • Damages: Compensatory, Consequential and Incidental
  • Damages, Liquidated Damages
  • Termination of Contracts: AI role?
  • The traditional commercial contract drafting process
  • Limitations and challenges faced in traditional drafting methods
  • Benefits of AI in the contract drafting process
  • Best practices for implementing AI for contract drafting
Day 3: AI in Commercial Contract Negotiations: How to do so profitably?
  • Negotiating Commercial Contracts
  • Joint Venture (JV)
  • Example- Production Sharing Contracts (PSC)
  • Fundamental Legal Principles
  • Commercial Realities
  • Cultural and Language Issues
  • The application of AI in negotiating commercial contracts
  • Liability clauses
  • Contractual indemnity
  • Insurance provisions
Day 4: AI and Contract Management
  • Risk Management and AI
  • The role of AI in contract management
  • Sending payment reminders, contract renewals reminders
  • Tracking contracts performance
  • Identifying any potential breaches of contract
  • Managing end-to-end contracting workflow
  • How data collection becomes another metric to be analysed and used in optimising contract negotiations
  • Indemnity and Exclusion Clauses: Why the need and the role of AI?
  • Performance & Penalties
  • Force Majuere, Change in Law and other Disputes
Day 5: AI role in Dispute Resolution under Cross Border / International Agreements
  • The emergence of AI and its application in dispute avoidance
  • AI and developing negotiation strategies in dispute avoidance under commercial contracts
  • Arbitration & Mediation – Important Differences
  • Mediation and Conciliation, Adjudication, Dispute Boards - save time and costs
  • Enforcement of International Arbitration Awards under the New York Convention
  • Contemporary Developments in Case Law and Legislation
Module 2: Artificial Intelligence (AI) in Project Management
Day 6: Introduction to AI in Project Management
  • Overview of AI and its relevance in project management.
  • Introduction to various AI technologies impacting project management.
  • The role of data in AI-driven project optimization.
  • Understanding AI capabilities in project planning and execution.
  • Overview of AI tools available for project managers.
  • Analysis of AI applications in project management.
Day 7: AI for Project Scheduling and Resource Allocation
  • Principles of AI in scheduling: from theory to application.
  • Demonstrations of AI-driven scheduling effectiveness.
  • Exploration of tools and software for AI-based scheduling.
  • AI approaches to resource allocation and optimization.
  • Simulation of an AI-driven project scheduling scenario.
  • Development session: AI resource allocation model.
Day 8: AI for Risk Prediction and Management
  • Fundamentals of risk management using AI.
  • Demonstrations of predictive analytics and risk assessment models.
  • AI in qualitative vs. quantitative risk analysis.
  • Implementing AI tools for continuous risk monitoring.
  • Analysis of AI-driven risk management effectiveness.
  • AI risk prediction tool.
Day 9: Integrating AI into Project Management Practices
  • Strategic integration of AI technologies in existing processes.
  • Managing change for AI adoption in project teams.
  • Ethical considerations and AI in project management.
  • Building AI competency within project management teams.
  • AI integration roadmap.
Day 10: Review and Practical Application
  • Review of key AI concepts and tools learned throughout the workshop.
  • Hands-on practical exercise with a comprehensive AI project management tool.
  • Development of a personalized AI implementation action plan.
  • Individual feedback: Sharing insights and experiences.
  • Overcoming barriers to AI adoption.
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Certificate

On successful completion of this training course, KC ACademy Certificate will be awarded to the delegates.

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