Boost
Boost

AI-Powered Business Analysis & Decision Making

AI-3883

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Artificial Intelligence (AI)

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21 Dec 2026 | 25 Dec 2026
Dubai, UAE
$4,250
Limited Seats
04 Jan 2027 | 08 Jan 2027
Dubai, UAE
$4,250
Upcoming
31 May 2027 | 04 Jun 2027
Amsterdam, Netherlands
$4,950
Upcoming
05 Sept 2027 | 09 Sept 2027
Riyadh, KSA
$4,250
Upcoming

Course Introduction

Business decisions are rarely based on clean data or a single clear answer. Managers and professionals often need to work through incomplete information, competing priorities, stakeholder expectations, assumptions, risks, and several possible courses of action. Artificial intelligence can strengthen this process by helping users’ structure complex situations, explore alternative explanations, identify information gaps, compare options, and test different scenarios. Its value, however, depends on how effectively people challenge its reasoning rather than simply accept its recommendations.
 

Boost Consulting & Training offers this course to develop practical capability in using AI as an analytical partner throughout the business decision process. Participants learn to frame problems accurately, organize evidence from multiple sources, examine root causes and assumptions, incorporate stakeholder perspectives and constraints, generate alternatives, evaluate trade-offs, explore scenarios, challenge AI-generated recommendations, and develop clear decision rationales.
 

The main concept of this course is to use AI to expand and strengthen business analysis while keeping judgement, accountability, and the final decision firmly in human hands.

Course Objectives

  • Frame complex business situations as clear analytical and decision problems.
  • Use AI to organize and examine information from multiple business sources.
  • Distinguish symptoms, causes, assumptions, facts, and information gaps.
  • Analyze stakeholder interests and business constraints affecting a decision.
  • Generate and develop credible alternatives using AI-assisted analysis.
  • Compare options using defined criteria, risks, trade-offs, and scenarios.
  • Challenge AI-generated conclusions and recommendations before relying on them.
  • Develop evidence-based decision recommendations with clear business rationale.
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