Service
AI discovery workshops & advisory
Practical workshops and advisory that help teams understand where AI can genuinely help, where it needs care, and what sensible next steps look like.
What this helps with
AI now shows up in almost every conversation about products, services, teams, and workflows. The real question is not whether to use it. It is where it can genuinely help, where it needs care, and where human judgement should stay firmly in place.
This work helps teams move past vague excitement, vague concern, or pressure to "do something with AI" without a clear reason. The focus is practical: finding useful opportunities, understanding risk, and shaping realistic next steps.
Related links
- Helping the University of Melbourne make a complex digital ecosystem easier to navigate — Research-led navigation and information architecture strategy to guide future digital delivery across a large, decentralised university website.
- Improving the dashboard design of a complex data platform — Product design for an industrial data platform — research, modular UX patterns, onboarding, and clearer decision support for operators.
- Get in touch — Talk through whether this is the right starting point.