Artificial Intelligence Enabled Strategic Decision Making

Introduction

This GLOMACS Artificial Intelligence Enabled Strategic Decision-Making training course enables leaders to improve the quality, speed, and auditability of strategic decisions using Artificial Intelligence. Participants learn Decision Intelligence methods to frame decisions, surface assumptions, test evidence, and document trade-offs in a way that is transparent and defensible.

The training course strengthens scenario planning, forecasting, and risk analysis so leaders can make better choices under uncertainty. Alongside this, delegates build practical proficiency with Large Language Models such as OpenAI ChatGPT, Microsoft Copilot, and Google Gemini as decision-support tools—learning where they add value and where they can mislead. The training course closes with a forward-looking view of how Generative AI and Agentic AI will reshape decision workflows, and what governance, controls, and human-review steps are required to scale safely.

This Artificial Intelligence Enabled Strategic Decision Making training course will highlight:

• Decision Intelligence foundations for executive choices
• Large Language Models (LLM) decision support: structure, critique, validation
• Evidence packs, KPIs, and analytical reasoning
• Scenario planning, forecasting, and risk adjustment
• Governance, audit trails, and safe agentic trajectory

Objectives

At the end of this Artificial Intelligence Enabled Strategic Decision Making training course, you will learn to: 

• Frame strategic decisions using Decision Intelligence
• Apply LLMs for structured decision support
• Evaluate evidence quality and uncertainty
• Build scenarios, forecasts, risk adjustments
• Establish governance and auditable decision trails

Training Methodology

The Artificial Intelligence Enabled Strategic Decision Making training course blends concise instruction with structured discussion and facilitated workshops. Participants apply Decision Intelligence frameworks to real decisions, using guided exercises to build evidence packs, evaluation rubrics, scenarios, and governance artefacts. Practical LLM labs develop repeatable prompt patterns for framing, critique, and synthesis, with peer review to strengthen clarity, assumptions, and auditability.

Organisational Impact

Organisations will improve decision speed, consistency, and defensibility while managing AI-related risk.

• Faster, more consistent strategic decisions
• Improved transparency, auditability, compliance
• Better risk-adjusted choices and resilience
• Stronger evidence packs and KPI discipline
• Reduced bias and decision blind spots
• Safe scaling of GenAI and agentic workflows

Personal Impact

Participants will gain practical tools and confidence to make and document high-quality decisions with AI support.

• Practical templates to structure decisions
• Confidence using LLMs responsibly at work
• Stronger analytical reasoning and judgement
• Ability to run scenarios and pre-mortems
• Clear documentation for executive scrutiny
• Enhanced leadership credibility and growth