Prepare yourself for the Artificial Intelligence Enabled Strategic Decision Making course

This Aicademy 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

The learning journey

Course Summary Outline

Day 1

Decision Intelligence Foundations and Large Language Model Decision Support

Day 2

Data, Evidence, and Analytical Reasoning for Strategic Decisions

Day 3

Scenario Planning, Forecasting, and Risk-Adjusted Choices

Day 4

Bias, Ethics, and Governance in AI-Augmented Decisions

Day 5

Agentic AI for Decision Workflows and Executive Capstone

Key Learning Outcomes and 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

The Excentra Learning Approach

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.

Excentra capability map

Six capabilities, and how far this course takes each one

Every Excentra course is mapped against the same six AI capabilities, so you can see at a glance what a course builds and compare it with any other in the catalogue.
01

Data Intelligence

Grading evidence for bias, completeness and timeliness; choosing KPIs and leading indicators.
02

Intelligent Monitoring

Risk framing, stress tests and leading indicators built into the scenario pack.
03

Document Intelligence

Using language models to summarise and challenge source material for an evidence pack.
04

Workflow & Agent Design

Designing an agentic decision workflow that monitors, proposes and acts within limits.
05

Responsible Implementation

Audit trails, debiasing, human review and escalation defended in the capstone.
06

Business Transformation

A controlled pilot plan with scaling, measurement and improvement built in.

Is This Course Right for You?

This Artificial Intelligence Enabled Strategic Decision Making training course suits leaders who sponsor or make strategic decisions under uncertainty. It benefits those accountable for performance, risk, and governance.

This Aicademy Artificial Intelligence Enabled Strategic Decision Making training course is suitable to a wide range of professionals but will greatly benefit:

  • Strategy, transformation, and business planning professionals
  • Operational leaders driving performance and delivery
  • Finance, investment, and commercial decision-makers
  • Risk, compliance, audit, and assurance professionals
  • Digital, data, analytics, and technology leaders

Frequently Asked Questions

The Artificial Intelligence Enabled Strategic Decision Making training course teaches leaders to frame, evaluate and document strategic decisions with AI support. Participants will learn Decision Intelligence methods, structured use of Large Language Models, evidence evaluation, scenario planning, forecasting and risk adjustment. They will also examine governance controls and auditable decision trails for transparent, defensible executive decisions.
This course is intended for leaders who sponsor or make strategic decisions under uncertainty and are accountable for performance, risk or governance. It is particularly relevant to professionals in strategy, transformation, business planning, operations, finance, investment, commercial functions, risk, compliance, audit and assurance. Digital, data, analytics and technology leaders can also benefit from its focus on responsible AI-supported decisions.
The Artificial Intelligence Enabled Strategic Decision Making training course helps executives make choices that are faster, more consistent and easier to defend. It develops methods for surfacing assumptions, testing evidence and documenting trade-offs transparently. These capabilities can support stronger analytical judgement, reduce bias and decision blind spots, and provide clearer documentation for executive scrutiny, compliance and assurance.
Decision Intelligence provides a structured way to define choices, clarify assumptions and connect evidence to strategic outcomes. Participants will learn to frame decisions so that alternatives, uncertainties and trade-offs can be examined explicitly rather than left implicit. This approach supports transparent reasoning and creates a defensible record of how an executive decision was reached.
The course develops practical proficiency in using Large Language Models such as OpenAI ChatGPT, Microsoft Copilot and Google Gemini as decision-support tools. Participants learn repeatable prompt patterns for framing decisions, critiquing reasoning, validating outputs and synthesising information. The content also addresses where these tools add value, where they can mislead and why human judgement remains essential.
Yes, the course strengthens scenario planning, forecasting and risk analysis for strategic choices made under uncertainty. Participants will learn to build scenarios, consider possible future conditions and apply risk adjustments to their reasoning. They will also develop the ability to use pre-mortems, helping them identify potential failure points before committing to a decision.
Participants will learn how evidence packs, KPIs and evaluation criteria can support disciplined strategic decision-making. The course addresses evidence quality and uncertainty, helping leaders distinguish stronger inputs from information that requires further validation. This supports clearer analytical reasoning, more consistent performance assessment and better documentation of the evidence behind executive choices.
The course explains how governance, controls and human-review steps can support the safe scaling of AI-assisted decision workflows. Participants learn to establish auditable decision trails that record assumptions, evidence, trade-offs and accountability. These controls are relevant to leaders responsible for compliance, risk, audit and assurance, as well as those overseeing digital and data initiatives.