AI-Enhanced Strategic Decision Support

Overview

Today’s finance professionals are expected to play an active role in shaping strategy, and AI—when prompted effectively—can be a powerful partner in that work. This course equips you with the skills to use AI to generate strategic options, model trade-offs, and simulate future scenarios that strengthen decision-making. You’ll learn how to design prompts that support business case development, growth scenario modeling, option comparison, and outcome forecasting under different assumptions, while structuring outputs that enable confident executive discussions. By the end, you’ll be able to leverage AI to guide leadership teams more effectively, accelerate strategic insight, and position finance as a driver of enterprise value creation.

Learning Objectives:

After completion of this course, participants will be able to:

  • Recognize the role of AI in supporting strategic decision-making processes.
  • Identify prompt structures that model strategic options and business scenarios.
  • Apply techniques to guide AI in quantifying trade-offs and outcome projections.
  • Select methods to align AI-generated decision support outputs with leadership needs.
  • Differentiate between tactical analysis and strategic advisory support using AI.

This course includes practical exercises, mentor insights, and scenario-based questions to reinforce learning and ensure participants can apply key concepts in real-world finance leadership situations. Upon successful completion, participants will receive a CPD-accredited certificate.

Lessons:

Lesson 1: Understanding AI’s Role in Strategic Decision Making

Position AI as a strategic co-pilot in finance by integrating it proactively into planning, analysis, and decision-making—shifting from reactive reporting to future-focused leadership.

Lesson 2: Crafting Prompts to Model Strategic Options

Unlock high-value decision support by crafting strategic prompts that guide AI to generate, structure, and stress-test options—helping leaders see the path forward with clarity and confidence.

Lesson 3: Quantifying Trade-Offs and Scenario Outcomes

Design prompts that guide AI to evaluate strategic trade-offs—helping finance leaders compare options, assess risks, and forecast outcomes with speed, structure, and clarity.

Lesson 4: Aligning Decision Support Outputs with Leadership Needs

Turn AI-generated analysis into executive-ready outputs by prompting for sharp, structured, and high-relevance insights—shaped to match how leaders think, decide, and act.

Lesson 5: Moving from Tactical Analysis to Strategic Partnership

Evolve AI from a tactical efficiency tool to a strategic force multiplier—shifting from output to insight, and from analysis to influence, as a future-focused finance leader.

Additional Information

CPE Credit / CPD Hour: 0.5

Field of Study: Information Technology

No prerequisite knowledge is required to be successful in this course.

No advance preparation is required.

Program Level: Basic

Delivery Method: QAS Self Study

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