Overview
AI for Business Decision-Making helps participants use Artificial Intelligence to turn business questions, data and documents into evidence-informed decisions. Learners practise framing problems, interpreting trends, comparing options, exploring scenarios and preparing concise decision briefs. Case-based activities cover marketing, finance, operations and customer-related decisions. The course emphasises data quality, uncertainty, bias, confidentiality, explainability and human accountability when using AI-generated analysis.
Course Highlights
Business problem framing
AI-assisted information analysis
Trend and scenario exploration
Option and risk comparison
Decision briefs and recommendations
Responsible and accountable AI use
Modules & Curriculum
AI in Business Analysis and Decision-Making
Problem Framing and Decision Criteria
Analysing Business Data and Documents
Trends, Forecasts and Scenario Exploration
Comparing Options, Risks and Trade-Offs
Decision Briefs and Evidence-Based Recommendations
Data Quality, Bias and Responsible Decision-Making
Learning Outcomes
- Frame business problems as clear, answerable decision questions.
- Use AI to organise and summarise business data, documents and evidence.
- Identify trends, relationships, risks and uncertainties in business information.
- Develop and compare alternative scenarios and possible courses of action.
- Create structured decision criteria and evaluate options consistently.
- Prepare concise decision briefs, recommendations and supporting explanations.
- Recognise data-quality problems, bias and unsupported AI-generated conclusions.
- Apply confidentiality, transparency and human accountability to AI-supported decisions.
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