• Live Class

AI for Strategic Decisions: Leveraging Analysis

With Esra Tepeli, PMP

Boost project decisions with AI. Forecast risks, analyze data, and automate strategy for smarter, faster outcomes.

Offered at the following events: see registration for course dates

  • 19 August 2026, Virtual
  • 26 October 2026, Washington DC
  • 18 November 2026, Virtual
  • Level
    Core
  • PDUs
    7
  • Duration
    1-Day Training
Member PriceUSD $881
Full PriceUSD $1326

Save more while it lasts

Snag early bird prices when you register before the training date. See time and pricing details.

Overview

Decision making in projects is a complex and dynamic process that depends on various project parameters and the project environment. Since each project is unique and has specific factors, a thorough analysis of the project context is necessary to develop an objective and reliable decision-making model. Complex projects often hold strategic importance for stakeholders in terms of their business strategy, brand image, and financial and economic opportunities. While front-end planning is essential, not all events and scenarios can be foreseen, especially for long-term projects involving multiple stakeholders. Therefore, strategic analysis is critical in the early phases of the project to identify and analyze major opportunity and risk factors for making informed strategic decisions. However, in the early phases the amount of information available is limited, and predictive tools may be necessary to forecast the project's future.

Artificial Intelligence (AI) can be a powerful tool in strategic analysis and decision-making processes. It can analyze vast amounts of data, develop predictive models, analyze text data, extract valuable insights, provide decision support, and automate decision making. This is particularly important in projects, where numerous variables and factors need to be considered to make informed decisions.

AI can analyze data and identify patterns, correlations, and trends that may not be apparent to humans, providing insights into market trends, customer behavior, and competitor activity. It can develop predictive models that forecast future outcomes based on past performance, identifying potential risks and opportunities, and developing strategies to address them. AI can provide decision support by analyzing multiple scenarios and providing recommendations based on objective criteria, leading to more informed and data-driven decisions. Additionally, AI can automate decision-making processes based on predefined rules and criteria, streamlining decision making, and reducing the time and resources required to make decisions.

In this training, we will explore how AI can be used in strategic analysis and decision-making processes throughout the project life cycle. We will provide a framework for combining the AI model into strategic analysis and decision-making methods, tailored to project characteristics, complexity, environmental factors, project life cycles, project management goals, stakeholders' objectives, project governance, project teams, and corporate strategies.

Related Topics

  • Strategic Planning and Implementation
  • Decision Making Techniques
  • Risk Management

What You'll Learn

Upon completion of this training, learners will be able to:

  • Understand the basics of artificial intelligence and its applications in strategic analysis and decision making.
  • Evaluate the potential benefits and risks associated with using artificial intelligence in strategic analysis and decision making.
  • Develop strategies and plans for integrating artificial intelligence into existing decision-making processes.
Instructor(s)

Learn more about the expert instructor(s) for this training.

PDU Breakdown

Maintaining a certification? Earn professional development units (PDUs) toward renewal while building valuable skills in this live training course.

Total PDUs

7

Business Acumen

3

Ways of Working

2

Power Skills

2

Registration Rates

Don't miss out on special rates when you register before the early bird date. Also enjoy exclusive pricing as a PMI member!

Early Bird Pricing
Before 8 Jul 2026
Full Pricing
After 8 Jul 2026
PMI Member
Non-Member
Government
Student Member

Decision making in projects is a complex and dynamic process that depends on various project parameters and the project environment. Since each project is unique and has specific factors, a thorough analysis of the project context is necessary to develop an objective and reliable decision-making model. Complex projects often hold strategic importance for stakeholders in terms of their business strategy, brand image, and financial and economic opportunities. While front-end planning is essential, not all events and scenarios can be foreseen, especially for long-term projects involving multiple stakeholders. Therefore, strategic analysis is critical in the early phases of the project to identify and analyze major opportunity and risk factors for making informed strategic decisions. However, in the early phases the amount of information available is limited, and predictive tools may be necessary to forecast the project's future.

Artificial Intelligence (AI) can be a powerful tool in strategic analysis and decision-making processes. It can analyze vast amounts of data, develop predictive models, analyze text data, extract valuable insights, provide decision support, and automate decision making. This is particularly important in projects, where numerous variables and factors need to be considered to make informed decisions.

AI can analyze data and identify patterns, correlations, and trends that may not be apparent to humans, providing insights into market trends, customer behavior, and competitor activity. It can develop predictive models that forecast future outcomes based on past performance, identifying potential risks and opportunities, and developing strategies to address them. AI can provide decision support by analyzing multiple scenarios and providing recommendations based on objective criteria, leading to more informed and data-driven decisions. Additionally, AI can automate decision-making processes based on predefined rules and criteria, streamlining decision making, and reducing the time and resources required to make decisions.

In this training, we will explore how AI can be used in strategic analysis and decision-making processes throughout the project life cycle. We will provide a framework for combining the AI model into strategic analysis and decision-making methods, tailored to project characteristics, complexity, environmental factors, project life cycles, project management goals, stakeholders' objectives, project governance, project teams, and corporate strategies.

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    About the Instructor(s)

    • Esra Tepeli, PMP

      Esra Tepeli

      Dr. Esra Tepeli has a civil engineering background with a double major in project and risk management. During her PhD, she worked on project and risk management for complex and strategic construction projects, especially Public-Private-Partnership (PPP), design- build-maintenance and transportation projects, in cooperation with a major French construction company. Her research and teaching activities deal with project and risk management, construction management and building information modeling. She is an author of scientific articles, conference papers, and books including Risk Analysis in Early Phase of Complex Infrastructure Projects, and Risk Management Keys for Complex Construction Projects. Besides her academic career, Dr. Tepeli is working as a project and risk management consultant in the private sector. Dr. Tepeli is also an active PMI member, instructor and conference speaker.