...

Augmented Leadership: Blending EQ with AI

Learn how to blend emotional intelligence with AI to make better decisions, lead people through change and build trust in an AI-driven workplace.

The Key Issues

Organisations are accelerating AI adoption across analytics, workflows and decision support — but tools alone don’t create trust, alignment or performance. Many managers either over-rely on automation or resist it, missing the human element that turns insight into action. 

You have to learn quickly how to interpret AI outputs responsibly, communicate trade-offs with empathy, and support teams through change. That means blending “head and heart”: analytical thinking with emotional intelligence, so people feel heard while decisions stay grounded in evidence. 

This programme closes that gap. Across a week-long blended experience, you will learn, practice and use AI literacy alongside EQ skills — supported by an AI assistant and a gamified simulation — so you can lead confidently in a digital workplace. 

AI literacy for managers

Empathy, self-awareness and social skills

Decision-making and communication

Key Competences​

Change leadership

Team enablement

Ethics, risk and bias

Coaching skills

The Right Programme for You

You are a mid-to-senior manager or team lead navigating digital transformation and AI adoption. If you need to combine data-driven decisions with empathy, communicate across functions, and build a culture that uses AI responsibly, this programme gives you the mindset and tools to do it with confidence. 

Highlights

Learn, Practice and Use

Programme Details

Augmented Leadership: Blending EQ with AI was designed to show you how to integrate AI with emotional intelligence to make better decisions and lead people through changeYou’ll leave with a practical playbook, responsible-use guardrails, and a peer network facing the same transformation challenges. 

Pre-Programme:

  • Introduction – Why augmented leadership matters now; balancing AI and EQ. 
  • Foundations – Plain-English AI concepts for managers; strengths, limits and common pitfalls. 
  • EQ baseline – Quick self-assessment and goal setting for empathy, listening and influence. 
  • Responsible use – Ethics, risk and bias; simple guardrails and escalation paths. 
  • Tools check – Access to a chatbot/decision-support AI and collaboration workspace. 
  • Orientation to simulation – What to expect from the gamified challenge.. 
  • Micro-learning – Short videos on AI fundamentals and EQ habits in digital contexts. 
  • Practice tasks – Use an AI assistant to summarise, compare options and draft messages. 
  • Reflection – Journal prompts on head-heart balance and stakeholder needs. 
  • Leader’s augmented brief – Draft team principles and use-cases for AI in your workflow. 

Three Programme Modules

  • Frame decisions – Clarify the question, evidence needed and people affected. 
  • Interpret outputs – Read AI recommendations critically; test assumptions and edge cases. 
  • Communicate with empathy – Balance data with concerns, trade-offs and context. 
  • Ethical guardrails – Apply simple do/don’t rules; know when to override the model. 
  • Role-plays – Handle tough conversations about AI-assisted decisions. 
  • Practice & feedback – Facilitator coaching and peer reviews. 
  • Rituals that work – Stand-ups, reviews and retros that integrate AI assistance. 
  • Team enablement – Training, access and lightweight dashboards to surface risks early. 
  • Policies & norms – Define acceptable use, data hygiene and escalation for anomalies. 
  • Coaching & motivation – Build psychological safety; reward learning and responsible use. 
  • Change playbook – Stakeholder mapping, comms cadence and “first 3 experiments.” 
  • Practice & feedback – Team exercises applying tools to your real scenarios. 
  • Gamified challenge – Solve a business problem by combining EQ and AI insights. 
  • Use the assistant live – Analyse options, stress-test choices and craft messages. 
  • Presentation & Q&A – Team pitch with trade-offs and next steps, with discussion and feedback. 
  • Peer coaching & feedback – Structured rubric on Clarity (framing, logic flow, evidence → recommendation), Ethics (bias checks, data privacy, responsible-use guardrails), and Impact (stakeholder alignment, feasibility, action readiness). 
  • Action commitments – Finalise a 30-day plan with measures of success.  

Faculty

Bettina
Hausmann

Bettina
Hausmann

Bettina
Hausmann

Bettina
Hausmann

Bettina
Hausmann

Upcoming Programmes

Choose your preferred learning solution

Blended Format
2 days Online (Live & Self-paced)
+ 3 days Face-to-Face
€4,995
In-Company
This programme is available as an In-Company solution for you teams.

Date

City

Location

Amsterdam

City Centre

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

Testimonials

Testimonials

Other MCE Recommended Programmes

Essentials of Artificial Intelligence (AI) for International Managers | Management Centre Europe (MCE)

Essentials of Artificial Intelligence (AI) for International Managers

Featured-Winning with AI

Winning with Artificial Intelligence (AI): An Immersive Experience

Artificial Intelligence (AI) Strategy for Senior Managers

Taking the Lead
with Artificial
Intelligence (AI)

Book a Free 15 minute call with an MCE Learning Advisor