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 3–5: AI-Native Change Agent
The Change Agent role and the human work Why AI initiatives stall, how to spot failure patterns early, and how to unlock value from existing AI tools and investments before building anything new.
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 How to translate business needs into a realistic AI solution approach, including data strategy, production operations, risk, and adoption considerations.
Building the investment case How to frame time-to-value, adoption risk, and the business case for investment.
Delivering through change How to build resilient roadmaps, remove blockers, use fast learning cycles to pivot or persevere, and carry learning forward into the next initiative.