Pideya Learning Academy

AI for Executive Decision Intelligence

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
28 Jul - 01 Aug 2025 Live Online 5 Day 3250
04 Aug - 08 Aug 2025 Live Online 5 Day 3250
06 Oct - 10 Oct 2025 Live Online 5 Day 3250
15 Dec - 19 Dec 2025 Live Online 5 Day 3250
27 Jan - 31 Jan 2025 Live Online 5 Day 3250
10 Mar - 14 Mar 2025 Live Online 5 Day 3250
14 Apr - 18 Apr 2025 Live Online 5 Day 3250
30 Jun - 04 Jul 2025 Live Online 5 Day 3250

Course Overview

In an era of exponential digital transformation, executives face mounting pressure to make high-impact decisions in environments marked by volatility, uncertainty, complexity, and ambiguity. Traditional methods of decision-making—heavily reliant on gut instinct and historical data—are no longer sufficient to steer organizations toward sustainable success. To maintain a competitive edge, leaders must turn to technologies that enhance cognitive capability, surface hidden insights, and inform forward-thinking strategy. Pideya Learning Academy introduces the transformative course, AI for Executive Decision Intelligence, meticulously designed to help leaders harness the potential of Artificial Intelligence (AI) as a core pillar in executive decision-making.
Across industries, executives are inundated with data, yet struggle to translate it into meaningful decisions at scale. According to Gartner, 65% of decisions today are more complex than they were just two years ago, while 72% of business leaders report an increase in the volume of decisions they are required to make daily. Further, a study by PwC projects that AI could add up to $15.7 trillion to the global economy by 2030—with nearly $6.6 trillion coming from enhanced decision-making, productivity, and personalization. These trends highlight the urgent need for leaders to integrate AI not as an operational backend tool, but as a strategic ally in the boardroom.
The AI for Executive Decision Intelligence training by Pideya Learning Academy is specifically tailored for C-level professionals, senior leaders, and policymakers who aim to make decisions with greater precision, speed, and foresight. The course unpacks how AI systems can support scenario modeling, predictive analytics, resource optimization, and real-time risk assessment—ultimately empowering executives to transition from reactive decision-making to a proactive, insight-led approach.
Throughout the training, participants will discover the foundational principles of AI as applied to leadership, including how algorithms learn from data patterns, generate predictive forecasts, and support complex decision logic. With an emphasis on strategic alignment, ethical considerations, and human-AI collaboration, the course helps leaders navigate the evolving landscape of automated intelligence while retaining core leadership values. Case studies from diverse sectors, including finance, healthcare, logistics, and public administration, offer grounded examples of how AI reshapes enterprise-level decision ecosystems.
What sets this Pideya Learning Academy training apart is its focus on executive relevance. Participants will explore AI frameworks without diving into code or technical intricacies—allowing leaders to focus on interpretation, application, and governance. Key aspects covered during the course include understanding AI’s influence on strategic outcomes, developing AI governance structures, and promoting organizational change readiness for AI integration.
Participants will also learn how to use explainable AI (XAI) to ensure transparency and trust in decision processes. They will explore the impact of human-AI interaction on leadership dynamics and understand how to avoid common pitfalls such as algorithmic bias or over-automation. Additionally, the course helps executives identify high-value AI use cases within their domains, such as predictive budgeting, supply chain forecasting, talent analytics, and customer behavior modeling.
Some of the most impactful takeaways of this course include:
Understanding how AI enhances executive-level strategic decisions and scenario planning
Evaluating case studies that demonstrate real-world applications of AI-driven decision intelligence
Identifying high-impact AI use cases for risk mitigation, market forecasting, and resource deployment
Gaining fluency in explainable AI to support ethical, transparent leadership choices
Designing governance models to align AI adoption with corporate goals
Exploring how AI augments leadership effectiveness through human-AI synergy
Learning to drive digital readiness and organizational buy-in for AI transformations
By the end of this course, executives will possess a sophisticated understanding of how AI supports decision-making, enabling them to lead with confidence in an increasingly algorithmic world. With its strategic focus and non-technical approach, AI for Executive Decision Intelligence by Pideya Learning Academy equips leaders with the insight, structure, and mindset to integrate AI into their core leadership DNA.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn to:
Understand the foundations of executive decision intelligence and its AI enablers
Identify and define AI use cases for strategic, operational, and tactical decisions
Assess AI models for their decision support capabilities and reliability
Explore techniques for scenario simulation, forecasting, and optimization
Interpret AI outputs for board-level reporting and communication
Address ethical, regulatory, and risk-related implications of AI-assisted decisions
Foster organizational readiness for AI deployment in the decision-making process
Collaborate effectively with data scientists and AI teams for aligned outcomes
Implement AI governance and accountability frameworks
Balance automation with human judgment for sustainable leadership impact

Personal Benefits

Gain a future-ready mindset with AI fluency for executive roles
Master the ability to translate AI analytics into strategic direction
Improve confidence in data-backed decision-making
Enhance cross-functional collaboration and AI initiative leadership
Increase adaptability to emerging digital trends in leadership
Build credibility in AI governance and ethical oversight

Organisational Benefits

Strengthens enterprise-wide strategic alignment using data-driven decision pathways
Accelerates response time to market and operational challenges through AI forecasting
Fosters a culture of innovation and digital confidence at the leadership level
Enhances risk resilience and scenario planning capabilities
Reduces dependency on siloed data interpretation through AI-powered insights
Supports sustainable growth through optimized resource allocation and planning

Who Should Attend

C-suite Executives (CEOs, CFOs, COOs, CIOs, CMOs)
Senior Business Leaders and Strategists
Directors and Departmental Heads
Innovation, Transformation, and Change Leaders
Board Members and Decision-Makers involved in digital strategy
Policy Makers and Government Executives in strategy roles
Detailed Training

Course Outline

Module 1: Foundations of AI for Decision Intelligence
Introduction to Executive Decision Intelligence Role of AI in augmenting decision ecosystems Key components: data, models, outcomes Limitations and opportunities in current decision-making AI maturity and readiness models Business vs technical AI perspectives Executive influence in AI design
Module 2: Strategic AI Use Cases for Leaders
AI in business forecasting and financial planning Market intelligence and competitive analysis AI in customer behavior modeling Supply chain and logistics decision support Talent analytics for HR decision-making Crisis management and scenario planning Evaluating use-case ROI
Module 3: Data Strategy and AI Readiness
Building a data-driven executive mindset Data governance essentials for leaders Data sourcing, quality, and reliability Data privacy and security in AI use Aligning data strategy with business vision Overcoming data silos KPIs for data readiness
Module 4: Predictive and Prescriptive Intelligence
Basics of predictive modeling and AI forecasting Prescriptive analytics and optimization strategies Use of simulations and decision trees Uncertainty modeling in executive scenarios Tools for demand and supply forecasting Strategic resource planning with AI AI in financial risk projections
Module 5: Explainable and Transparent AI for Executives
Importance of interpretability in executive decisions Black box vs white box models Techniques in explainable AI (XAI) Communicating AI insights to stakeholders Transparency in compliance and audits Building trust in AI decisions Ethical use of AI-generated recommendations
Module 6: Ethical, Legal, and Bias Considerations
Identifying AI bias and mitigation strategies Compliance with global AI regulations Algorithmic accountability for leaders Legal frameworks for AI decisions Responsible AI adoption Inclusive design and fairness in decision-making Reputation risks and stakeholder trust
Module 7: Governance and AI Leadership Frameworks
AI governance principles for executives Structuring AI oversight and accountability Aligning AI strategy with corporate governance Reporting structures and leadership roles Cross-functional governance committees KPIs for monitoring AI governance Change management in AI initiatives
Module 8: Human-AI Collaboration in Decision Making
Augmented intelligence vs full automation Role of human intuition in AI-supported decisions Interfaces for executive engagement with AI tools Blending human oversight with machine insights Leadership in AI-human synergy Delegation boundaries in AI-supported environments Behavioral economics and AI outputs
Module 9: Organizational Transformation and Culture Shift
Leading digital transformation from the top Cultural readiness and resistance mapping Building executive coalitions for AI adoption Aligning values and technology strategies Learning organizations and AI fluency Digital storytelling to foster buy-in Success metrics for AI transformation
Module 10: Building the Executive AI Toolkit
Key AI tools for strategic decision-making Dashboards and visualization for real-time decisions Use of scenario engines and simulation platforms Collaboration with AI vendors and internal teams Continuous learning and upskilling paths Strategic AI roadmaps for leadership teams Embedding AI into long-term business strategy

Have Any Question?

We’re here to help! Reach out to us for any inquiries about our courses, training programs, or enrollment details. Our team is ready to assist you every step of the way.