AI-Powered Decision Making for Executives

Course Category : Strategy

An advanced executive programme for leveraging AI and analytics to improve decision quality, evaluate alternatives, anticipate scenarios, and manage risk in complex business environments.
Duration: 5 Days
Level: Advanced – Executive

Introduction

Executive decision-making increasingly takes place in environments characterised by data intensity, uncertainty, and rapidly changing strategic conditions. Artificial intelligence provides powerful capabilities for analysing information, detecting patterns, modelling scenarios, assessing risk, and supporting structured comparison between alternative courses of action.
This course examines the strategic and leadership dimensions of AI-supported decision-making. It enables executives to identify suitable AI-assisted decisions, critically interpret AI-generated insights, evaluate uncertainty, and establish governance mechanisms that preserve human accountability. The programme emphasises the effective integration of executive judgement with AI-enabled analysis to support more consistent, evidence-informed, and forward-looking decisions..

Targeted Audience

Chief executives and senior management leaders.
General managers and functional directors.
Executive and strategy committee members.
Strategy, planning, and transformation leaders.
Digital transformation and AI executives.
Enterprise risk and performance leaders.
Advisors and decision-makers across public and private organisations.
Executives responsible for investments, initiatives, and high-impact decisions.

Targeted Skills

Identifying decisions suitable for AI augmentation.
Interpreting AI outputs from an executive and strategic perspective.
Assessing the quality of data and decision evidence.
Developing analytics-supported scenarios and forecasts.
Managing uncertainty and decision-related risk.
Comparing alternatives through structured decision models.
Using generative AI for executive analysis.
Detecting bias and weaknesses in AI-generated outputs.
Applying governance and human accountability principles.
Integrating leadership judgement with AI-supported evidence.

Expected Outcomes

Identify areas where AI can materially improve executive decision quality.
Critically interpret data and insights produced by AI systems.
Assess the reliability, accuracy, and relevance of decision evidence.
Develop alternative scenarios for evaluating strategic consequences.
Apply structured approaches to comparing options and trade-offs.
Recognise bias and over-reliance risks associated with algorithmic recommendations.
Use generative AI tools to support executive analysis and briefing.
Establish clear human accountability and governance controls for AI-assisted decisions.
Integrate executive judgement with quantitative and predictive analysis.
Develop a more mature organisational framework for AI-supported decision-making.

Training Topics Index

Evolution from experience-based decisions to data- and AI-supported decision models.
Differences between human, automated, and AI-augmented decisions.
Classification of strategic, operational, and semi-structured decisions.
Identifying decision contexts where AI creates meaningful executive value.
Understanding AI limitations and the role of human judgement in high-impact decisions.

Data quality and its impact on decision accuracy.
Descriptive, diagnostic, predictive, and prescriptive analytics.
Executive interpretation of indicators, trends, patterns, and correlations.
Forecasting potential outcomes and interpreting uncertainty and confidence.
Avoiding misleading conclusions from incomplete or unrepresentative data.

Developing AI- and data-supported scenarios.
Applying probabilistic reasoning to possible future outcomes.
Comparing alternatives across value, risk, cost, and strategic impact.
Sensitivity analysis and identification of critical decision variables.
Structuring decision frameworks for environments of uncertainty.

Using ChatGPT to analyse issues and develop decision hypotheses and alternatives.
Using Microsoft Copilot to synthesise information and prepare executive insights.
Using Microsoft Power BI to interpret dashboards and performance trends.
Designing effective prompts and questions for executive analysis.
Validating outputs and identifying hallucination, bias, and analytical errors.

Defining responsibilities across executives, specialists, and AI systems.
Establishing escalation and human-review requirements for high-impact decisions.
Managing bias, transparency, and explainability concerns.
Establishing criteria for accepting or rejecting AI-generated recommendations.
Designing an organisational framework for responsible AI-supported decision-making.

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

AI-Powered Decision Making for Executives