Humanising AI™ Training & Certification

Move beyond hype. Build informed judgment.

This module resets how professionals understand AI by separating reality from assumptions. Rather than focusing on tools, participants develop the critical thinking needed to evaluate AI responsibly and make better strategic decisions.

You will explore:

• How AI differs from traditional automation and rule-based systems
  
• What intelligence means in an AI context and where it stops
  
• The core functions that power AI systems: learning, prediction, and content creation
  
• How generative models differ from autonomous, decision making agents
  
• Why AI systems sometimes produce incorrect or misleading outputs
  
• The accountability and ethical considerations surrounding AI deployment
  
• The role of experience design in ensuring AI is usable, trusted, and effective

From automation efficiency to meaningful service outcomes.

This module examines how AI is reshaping ITSM and digital service delivery and why many implementations fail to deliver the expected value. Participants learn to challenge assumptions and redesign services with people in mind.

You will explore:

• How AI capabilities have gradually been embedded into ITSM platforms
  
• Why many “AI-driven” features go unnoticed or underused
  
• The operational challenges of introducing AI into support, workflows, and decision chains
  
• The rise of autonomous service actions and agent-based systems
  
• Risks created by automation that ignores human behaviour and context
  
• Organisational and cultural shifts required to support human-centred AI
  
• How to evaluate vendor offerings beyond marketing claims
  

This module encourages teams to pause, rethink the problem space, and avoid solution-first thinking.

Change the question. Redefine success.

Rather than asking what AI can do, this module asks what people actually need. Participants are introduced to the Humanising AI™ perspective, which reframes AI as part of a broader service experience.

You will explore:

• Why technically “successful” AI solutions often disappoint users
  
• How logic-driven process design can undermine adoption and trust
  
• The principles behind the Humanising AI™ approach
  
• How needs-led design alters outcomes across service and support
  
• Why perceived value matters as much as functional accuracy
  
• How efficiency-focused assumptions can limit service innovation

This perspective reveals why many AI initiatives stall and how to reset them.

Design for understanding, not just performance.

The final module focuses on translating Humanising AI™ principles into practical design and delivery decisions. Participants learn how to shape AI interactions that feel clear, fair, and supportive.

You will explore:

• What human-centred, inclusive, and trustworthy AI looks like in practice
  
• How language, timing, and transparency influence user confidence
  
• Ways to embed empathy into AI-enabled interactions
  
• Designing AI-enabled workflows that reduce confusion and friction
  
• Practical approaches to ethical AI beyond policy statements
  
• Balancing speed and efficiency with clarity and inclusion
  
• Preparing teams and organizations for AI-driven change

Programme Outcome

Participants leave with a clear, repeatable way of thinking about AI – one that enables better design decisions, stronger adoption, and more responsible outcomes across IT and digital services.