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AI for Managers:
From Resistance to Results

Turning AI Plans into Results 

The Key Issues

AI is no longer an experiment happening somewhere else. It is already reshaping decisions, workflows, roles, and expectations, and managers are expected to make AI real — often without technical expertise. 

Most AI initiatives succeed or fail in the middle of the organisation, where managers are asked to align AI with real business needs, prepare data and workflows, manage resistance, and deliver results without clear playbooks. 

Many teams face uncertainty, anxiety, and confusion about AI, while managers struggle with practical questions such as: 

  • How do we align AI with real business value? 
  • How do we ensure our data and workflows are ready? 
  • How do we guide our teams through resistance and fear? 
  • How do we move from experimentation to execution? 

Understanding AI Fundamentals

AI–Business Value Alignment

Workflow & Process Redesign

Key Competences​

Leading AI Driven Change

Data Readiness & Constraints

The Right Programme for You

This programme is designed for people managers, functional managers, and operational leaders who sit at the centre of AI implementation. 

It is ideal for managers who: 

  • Are asked to adopt or use AI tools in their teams 
  • Need to translate AI strategy into daily operations 
  • Feel pressure to “do something with AI” but want clarity 
  • Lead teams impacted by automation, data, or AI-supported decisions 


No technical or data science background is required.
 
This is a manager’s programme, grounded in reality. 

Highlights

Learn, Practice and Use

Programme Details

AI for Managers: From Resistance to Results programme is a 3 day face to face or 6 live online hands-on training, highly interactive with exercises and role plays. This programme gives managers the structure, language, and tools to lead AI adoption confidently — keeping people engaged, workflows functional, and value visible. 

Six Programme Modules

From Hype to Leadership Clarity 

AI is a leadership issue before it is a technical one. 

This module focuses on: 

  • Why AI cannot be delegated entirely to IT or vendors 
  • What AI is and is not using clear, non-technical definitions 
  • The AI landscape: Generative AI, machine learning, automation, agents 
  • Where leaders lose control when AI decisions are delegated 
  • The 4D Model: Data, Decisions, Design, Delivery 

You leave with: 
 A personal AI leadership stance 
 Clear language for talking about AI with your team 
 A 4D diagnostic self-assessment 

How AI Creates (and Destroys) Value 

Not every AI use case is worth pursuing. 

This module explores: 

  • Aligning business needs with AI opportunities 
  • Proven AI use cases vs. failed experiments 
  • The “messy middle” of adoption 
  • AI as augmentation—not replacement 

You leave with: 
 An AI–Business Alignment framework 
 A use-case prioritisation canvas 

Why Data not Models is the Real Bottleneck 

Most AI initiatives fail because the data is not ready. 

This module focuses on: 

  • Data readiness levels 
  • Structured vs. unstructured data 
  • Data ownership and accountability 

You leave with: 
 A data readiness map for your area 

Embedding AI into How Work Actually Gets Done 

AI only delivers value when it changes the way work flows. 

This module explores: 

  • Workflow redesign principles 
  • Human-in-the-loop decision points 
  • Hands-on Build-Your-Own-Agent simulation 

You leave with: 
 A redesigned workflow 
 Practical lessons from simulation and experimentation 

Why Structure, Incentives, and Culture Matter More Than Tools 

AI adoption is a people and organisation challenge. 

This module focuses on: 

  • Roles and skills for AI-ready teams 
  • Driving change from the middle of the organisation 
  • Collective decision-making 
  • Overcoming resistance 

You leave with: 
 An organisational readiness heatmap 

From Learning to Execution 

This final module turns insight into ownership. 

You will work on: 

  • Organisational readiness assessment 
  • Priority initiatives 
  • Governance-lite models that enable speed 
  • Metrics for value and adoption 

You leave with: 
 A 90-day AI roadmap 
 Clear owners and KPIs 

Faculty

Bettina
Hausmann

Bettina
Hausmann

Bettina
Hausmann

Bettina
Hausmann

Bettina
Hausmann

Upcoming Programmes

Choose your preferred learning solution

Face-to-Face
3 days
€2,995

Date
Location
Attendance Fee
Status
06 Jul – 08 Jul 2026
London, City Centre
€2,995
Scheduled
07 Sep – 09 Sep 2026
Brussels, City Centre
€2,995
Early bird · 10% off
23 Nov – 25 Nov 2026
Prague, City Centre
€2,995
Scheduled

Live Online
6 sessions
€2,995

Date
Sessions
Attendance Fee
Status
19 Oct – 21 Oct 2026
6 sessions · CET
  • Mon 19 Oct 09:00 – 12:00
  • Mon 19 Oct 14:00 – 17:00
  • Tue 20 Oct 09:00 – 12:00
  • Tue 20 Oct 14:00 – 17:00
  • Wed 21 Oct 09:00 – 12:00
  • Wed 21 Oct 14:00 – 17:00
€2,995
Early bird · 10% off

In-Company
This programme is available as an In-Company solution for you teams.

Contact Us

Get in touch with the MCE team to learn more about implementing this programme for your team.

Contact Us - Inco Request
I am interested in training for
Checkboxes
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Date
Location
Attendance Fee
Status
06 Jul – 08 Jul 2026
London, City Centre
€2,995
Scheduled
07 Sep – 09 Sep 2026
Brussels, City Centre
€2,995
Early bird · 10% off
23 Nov – 25 Nov 2026
Prague, City Centre
€2,995
Scheduled

Date
Sessions
Attendance Fee
Status
19 Oct – 21 Oct 2026
6 sessions · CET
  • Mon 19 Oct 09:00 – 12:00
  • Mon 19 Oct 14:00 – 17:00
  • Tue 20 Oct 09:00 – 12:00
  • Tue 20 Oct 14:00 – 17:00
  • Wed 21 Oct 09:00 – 12:00
  • Wed 21 Oct 14:00 – 17:00
€2,995
Early bird · 10% off

Contact Us

Get in touch with the MCE team to learn more about implementing this programme for your team.

Contact Us - Inco Request
I am interested in training for
Checkboxes
Checkboxes

Testimonials

Testimonials

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