Boost
Boost

AI Adoption & Workforce Transformation

AI-3881

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
31 Jan 2027 | 04 Feb 2027
Riyadh, KSA
$4,250
Upcoming
03 May 2027 | 07 May 2027
Dubai, UAE
$4,250
Upcoming
30 Aug 2027 | 03 Sept 2027
London, England
$4,950
Upcoming

Course Introduction

Providing employees with AI tools does not automatically lead to meaningful adoption. Organizations may invest in technology, launch pilots, and deliver training while employees continue working in familiar ways or use AI only for occasional tasks. Sustainable adoption requires a deeper understanding of how AI changes individual activities, roles, skills, management practices, and everyday workflows—and what helps people move from initial experimentation to confident and repeated use.
 

Boost Consulting & Training offers this course to help organizations translate AI availability into practical workforce change. Participants learn to assess adoption readiness, analyze how AI affects tasks and roles, identify capability gaps, understand different employee adoption needs, address resistance and uncertainty, design targeted enablement interventions, equip managers to support new ways of working, and measure whether AI is becoming embedded in actual workplace behavior.
 

The main concept of this course is to move AI adoption beyond access and training toward sustained changes in tasks, capabilities, behaviors, and ways of working that allow people and AI to create value together.

Course Objectives

  • Assess current levels of AI adoption and workforce readiness.
  • Analyze how AI changes tasks, roles, and ways of working.
  • Identify workforce capabilities required for effective AI-enabled work.
  • Segment employee groups according to their adoption needs and barriers.
  • Design targeted interventions that move employees from awareness to sustained use.
  • Equip managers to support teams through AI-enabled changes in work.
  • Establish new work practices that integrate AI with human judgement and accountability.
  • Measure and reinforce AI adoption using behavioral and performance indicators.
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