Role-Based Programme
RB1106

AI for Management Consulting & Decision Support

Structured Problem Solving, Insight Generation & Executive Recommendations

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for consulting-style problem solving, business analysis, research, and management decision support.
  • Apply AI to structure ambiguous business problems, generate hypotheses, analyse evidence, identify insights, and evaluate alternative solutions.
  • Use AI to strengthen market research, benchmarking, data analysis, business-case development, scenario analysis, and executive recommendations.
  • Improve consulting productivity across stakeholder interviews, meeting synthesis, analysis, presentation development, and decision briefs.
  • Apply responsible AI practices related to source validation, confidentiality, assumptions, bias, evidence quality, and human judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisProblem StructuringHypothesis AnalysisStrategic BenchmarkingScenario AnalysisDecision FrameworksExecutive SummarisationPresentation ToolsKnowledge Assistants

Who should attend

  • Management Consultants
  • Internal Consulting Professionals
  • Strategy Consultants
  • Business Consultants
  • Decision Support Professionals
  • Advisory Professionals
  • Strategy Managers
  • Business Analysts
  • Corporate Strategy Professionals
  • Transformation Consultants
  • Business Excellence Professionals
  • Chief of Staff Teams
  • Strategic Initiatives Professionals
  • Programme & Transformation Managers
  • Senior Business Advisory Professionals

Prerequisites & Participant Readiness

  • Experience in consulting, strategy, business analysis, transformation, or decision-support activities
  • Familiarity with business problems, stakeholder discussions, research, and management presentations
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret business reports and structured data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across research, analysis, problem solving, recommendations, and communication
  • Understanding how AI differs from traditional research, analytics, and consulting tools
  • Recognising hallucinations, incomplete context, bias, and model limitations
Practical activities
  • Mapping the consulting lifecycle to practical AI applications
  • Identifying high-value versus low-value consulting AI use cases
  • Comparing traditional and AI-assisted consulting workflows

Scenarios

Declining Business Performance to Executive Recommendation

Business Problem → Issue Tree → Hypotheses → Data & Stakeholder Analysis → Root Causes → Solution Options → Business Case → Executive Recommendation

Participants use AI to structure a simulated business-performance challenge, test hypotheses using quantitative and qualitative evidence, compare corrective options, and prepare a consulting-style executive recommendation.

Strategic Investment Decision Support

Investment Question → Market Research → Benchmarking → Option Analysis → Scenario Testing → Value & Risk Assessment → Decision Matrix → Leadership Brief

Participants use AI to evaluate a simulated strategic investment, assess competing alternatives, challenge assumptions, and develop an evidence-based decision brief for senior management.

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