
- Evaluate digital & data maturity; define success metrics with clarity.
- Prioritise practical AI use-cases (agentic workflows, RAG, analytics).
- Align stakeholders, processes, and governance for adoption at scale.
- Design focused sprints on prompts, automation, and AI for teams.
- Use challenges and benchmarks to raise performance standards.
- Embed evaluation with clear behaviour and results metrics.
- Translate complex AI topics into simple, engaging learning sequences.
- Connect objectives, assessments, and activities for workplace transfer.
- Provide practical toolkits and enablement for sustained use.
