Days 1–2: AI-Native Foundations
AI-Native thinking and the EDGE forces: Understand what's changing and why, and what it means to work AI-Native in a real organisational context.
AI in plain English: How GenAI works and what it can and can't do. Covers LLMs, prompting, safe use, RAG, and intelligent agents — no technical background required.
The 7 AI-Native Success Factors: What makes adoption stick: upskilling, context, workflow integration, learning loops, value alignment, and governance.
Workflow redesign and business brief: Redesign one of your own workflows using the right AI approach, and capture it in a format ready for a low-risk organisational pilot.
AI as your Thought Partner: Move beyond task execution. Practise challenging assumptions, expanding options, and stress-testing ideas before committing to a direction.
Roadmap to AI-Native: Build a practical plan for moving from individual capability to team influence and organisational impact.
Days 3–4: AI-Native Value Architect
The Value Architect role and the human work: Why AI initiatives stall, how to spot failure patterns early, and how to unlock value from the AI tools and investments your organisation already has.
Discovery and stakeholder alignment: How to run discovery that surfaces the real problem, constraints, and stakeholders — and how to facilitate alignment across diverse groups.
Designing a viable AI solution: A hands-on simulation translating business needs into a realistic AI solution approach, including data strategy, production operations, and risk as design inputs — through to a roadmap to production.
On-demand modules (2 hours, SAFe Studio)
Value Architect core content completed in your own time. Required before you can take the certification exam.