Role-Based Programme
RB1107
AI for Management Consulting & Decision Support
Advanced Problem Solving, Strategic Analysis & Executive Recommendations
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced capability to use AI across consulting engagements, business diagnosis, research, analysis, problem-solving, and executive decision support.
- Apply AI-assisted frameworks to structure ambiguous business problems, generate hypotheses, analyse evidence, evaluate alternatives, and develop recommendations.
- Use AI to accelerate market research, data interpretation, benchmarking, business-case development, scenario analysis, and stakeholder communication.
- Improve the quality of consulting deliverables through stronger evidence, structured reasoning, validation, executive storylining, and decision-oriented communication.
- Build an AI-enabled consulting workflow that supports faster analysis, stronger recommendations, and responsible executive decision-making.
Tools covered
Generative AI AssistantsAI Search & Deep ResearchDocument IntelligenceData AnalysisStrategic FrameworksRoot Cause AnalysisScenario ModellingDecision MatricesBusiness Case AnalysisExecutive StoryliningAI-Powered PresentationsKnowledge Assistants
Who should attend
- Management Consultants
- Senior Consultants
- Strategy Consultants
- Business Consultants
- Internal Consulting Professionals
- Advisory Professionals
- Decision Support Professionals
- Strategy Managers
- Business Analysts
- Transformation Consultants
- Corporate Strategy Professionals
- Business Excellence Professionals
- PMO & Transformation Office Professionals
- Consulting Engagement Managers
- Senior Managers Responsible for Strategic Decision Support
Prerequisites & Participant Readiness
- Experience in consulting, strategy, business analysis, transformation, or management decision support
- Familiarity with structured problem-solving, business cases, research, and executive presentations
- Basic awareness of Generative AI and common business applications
- Comfort working with qualitative and quantitative business information
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, deep research, document intelligence, and analytical assistance
- Exploring AI applications across consulting research, analysis, problem-solving, and recommendation development
- Distinguishing AI-assisted consulting from conventional research and analytical approaches
- Understanding hallucinations, incomplete context, evidence gaps, and human accountability
Practical activities
- Mapping AI opportunities across the consulting engagement lifecycle
- Identifying consulting activities suitable for augmentation or automation
- Creating an AI opportunity map for consulting teams
Scenarios
Declining Business Performance to Executive Recommendation
Business Problem → Issue Tree → Hypotheses → Data & Market Research → Root Causes → Strategic Options → Business Case → Executive Recommendation
Participants use AI to diagnose a complex business-performance challenge, test hypotheses against evidence, evaluate alternative responses, and develop a structured recommendation for senior leadership.
Strategic Investment Decision Support
Investment Question → Market & Competitive Analysis → Strategic Fit → Financial Assessment → Scenario Testing → Risk Analysis → Decision Matrix → Executive Decision Brief
Participants use AI to assess a major strategic investment, compare alternatives, challenge assumptions, quantify value and risk, and prepare an evidence-based decision brief for an executive committee.
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