Training on Integrated Leadership: Human + AI Orchestration
Lead effectively by orchestrating human judgment and AI for better decisions and performance.
Next intake
20 Jul 2026 · Dakar
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Advanced
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course prepares leaders to effectively orchestrate human capabilities and artificial intelligence within modern organizations. Participants gain a structured understanding of AI-enabled decision-making, human–AI collaboration, leadership ethics, governance, and organizational transformation. The course focuses on building leadership confidence, accountability, and strategic clarity in environments where AI systems increasingly augment human judgment and performance.
Duration
10 Days
Who Should Attend:
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Senior executives and directors
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Functional heads and senior managers
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Digital transformation and innovation leaders
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HR, strategy, and governance professionals
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Public sector and institutional leaders
What you'll walk away with
By the end of the course, participants will be able to:
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Understand AI capabilities and limitations in leadership contexts
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Orchestrate effective human–AI collaboration
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Integrate AI into decision-making, planning, and performance management
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Manage ethical, governance, and risk implications of AI adoption
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Lead organizational change in AI-enabled environments
What we cover, module by module
Module 1: Integrated Leadership in the Age of AI
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Evolution from traditional to AI-augmented leadership
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Human strengths vs machine capabilities
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Leadership readiness assessment
Case Study: Leadership failures due to poor AI understanding
Practical: Mapping leadership decisions suitable for AI support
Module 2: AI Fundamentals for Leaders (Non-Technical)
- AI, machine learning, and generative AI explained
- What AI can and cannot do
- Data, models, and decision logic
- Case Study: Misuse of AI in executive decision-making
- Practical: Interpreting AI outputs for leadership decisions
Module 3: Human Judgment, Bias & Augmented Decision-Making
- Cognitive bias and decision errors
- AI bias and model risk
- Human-in-the-loop decision frameworks
- Case Study: Bias amplification in automated decisions
- Practical: Designing human–AI decision checkpoints
Module 4: AI in Strategy, Planning & Performance Management
- AI-supported strategic analysis
- Scenario planning and forecasting
- AI-enabled KPIs and performance dashboards
- Case Study: AI-driven strategy formulation
- Practical: Applying AI insights to strategic planning
Module 5: Leading AI-Enabled Teams & Culture
- Redefining roles and responsibilities
- Trust, accountability, and transparency
- Change leadership and communication
- Case Study: Workforce resistance to AI adoption
- Practical: Designing AI-ready leadership communication
Module 6: Ethics, Governance & Responsible AI Leadership
- Ethical principles and responsible AI
- Governance structures and oversight
- Regulatory and compliance considerations
- Case Study: Ethical failures in AI deployment
- Practical: Creating an AI governance charter
Module 7: Risk Management, Cybersecurity & Resilience
- AI-related operational and strategic risks
- Cybersecurity and data protection
- Business continuity in AI-enabled systems
- Case Study: AI system failure impacting operations
- Practical: Conducting an AI risk assessment
Module 8: AI Tools, Automation & Executive Productivity
- AI copilots and decision-support tools
- Automation for executive and management tasks
- Measuring AI productivity gains
- Case Study: AI improving executive effectiveness
- Practical: Designing an AI-enabled leadership workflow
Module 9: Organizational Transformation & Workforce Readiness
- Reskilling and capability development
- Talent models for AI-enabled organizations
- Managing structural and process change
- Case Study: Failed AI transformation initiatives
- Practical: Developing a workforce readiness plan
Module 10: Integrated Leadership Strategy & Roadmap
- Aligning AI initiatives with organizational vision
- Measuring leadership and AI impact
- Developing an integrated leadership roadmap
- Case Study: Successful human–AI orchestration
- Practical: Presenting an Integrated Leadership Action Plan
Where the change lands
Personal Impact:
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Enhanced leadership confidence in AI-enabled environments
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Improved decision quality and strategic insight
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Stronger ethical and governance awareness
Organizational Impact:
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More effective human–AI collaboration
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Reduced AI-related risks and misalignment
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Accelerated, responsible digital transformation
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
DakarNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dar es Salaam | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Nakuru | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Pretoria | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- DakarNext
20 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
20 Jul → 31 Jul·In-Person
Book this intake - Dar es Salaam
20 Jul → 31 Jul·In-Person
Book this intake - Nakuru
20 Jul → 31 Jul·In-Person
Book this intake - Pretoria
27 Jul → 07 Aug·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
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For corporate teams
Training 10+ professionals?
We deliver Training on Integrated Leadership: Human + AI Orchestration in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.