Training & Awareness builds organisational capability by ensuring your workforce understands what AI is, how it works, its capabilities and limitations, associated risks, and appropriate use within your organisation. This includes general awareness training for all staff, role-specific training for different functions (managers, technical staff, end users), and ongoing upskilling programmes. Effective training covers practical aspects (how to use AI tools safely), ethical considerations (recognising bias and fairness issues), security awareness (avoiding data leaks), and compliance requirements.
Without adequate training, staff may misuse AI tools, fail to identify risks, over-rely on AI outputs without critical thinking, or resist adoption due to fear or misunderstanding. This dimension assesses whether your workforce understands AI’s capabilities, risks, and appropriate use through structured training programmes.
Why It Matters
Without AI literacy, staff may misuse tools, fail to identify risks, or resist adoption.
Maturity Levels
| Basic | Standard | Advanced | Leading |
|---|---|---|---|
| No formal AI training; staff awareness is minimal. | Mandatory AI awareness training for all staff, covering ethics, security, and acceptable use. | Role-specific training (e.g., for managers, technical staff, and end users). | AI skills development embedded in organisational culture, with continuous upskilling and innovation programmes. |
See This in Practice
🦺 AI Safety Monitoring
Phase 3 deployment includes comprehensive training: site managers trained on AI capabilities and limitations, supervisors trained on alert interpretation, general awareness training on AI ethics and CDM compliance, and ongoing refresher sessions.
View case study →
Legal📄 Contract Review
Shows role-specific training: associates trained on using AI assistance tools, partners trained on quality oversight responsibilities, all lawyers trained on SRA requirements for AI use, and ethics workshops on appropriate AI reliance.
View case study →
Energy🔧 Predictive Maintenance
Demonstrates technical upskilling: maintenance engineers trained on AI predictions and failure mode interpretation, operators trained on system monitoring and alerts, leadership briefed on AI capabilities, and continuous learning programme established.
View case study →
📥 Related Resources & Templates
Downloadable templates, examples, and frameworks to help you implement this dimension.
AI Training Curriculum Matrix
Custom heatmap matrix for planning AI training programs across different roles and competency levels.
AI Awareness Campaign Materials
Ready-to-use templates and examples for AI awareness campaigns, including posters and communication materials.
AI Training Materials & Guides
Comprehensive guides for AI training content, including UK-EU enterprise training subjects and LMS reporting.