Building the thing right.
Most organisations adopt AI, or restructure their people systems, or publish an ESG commitment — and then discover, often too late, that the design of the thing doesn’t match what they said they stood for. The gap isn’t usually a values problem. It’s a design problem.
Design work means getting the architecture right before it becomes expensive to fix. It means asking the hard questions — about who gets included in the design process, what assumptions are baked into the system, and what happens when the system meets the real world — before deployment, not after.
Services
Each service listed below with title, one-line description, and expanded paragraph. All are customisable.
Where to start, and how to scale
A diagnostic of your current AI development and deployment practices, followed by a customised strategic roadmap grounded in responsible design. Covers risk identification, governance structure, stakeholder accountability, and measurable milestones. Delivered as a working document your team can own and execute — not a report that sits on a shelf.
People systems that do what they’re supposed to
Examining the design of talent, performance, or operational systems to identify where structural bias is baked in — and redesigning them for more equitable outcomes. Grounded in data and social scientific method. Suitable for organisations scaling quickly, entering new markets, or facing employee experience gaps that ‘culture’ alone can’t explain.
The structures that make accountability real
Partnering with leadership and cross-functional teams to establish AI ethics principles, internal governance policies, and accountability structures that align with your organisation’s values — and that will hold up to external scrutiny. Includes clear ownership, decision rights, and escalation paths, so governance is a practice, not a document.
Turning commitments into practice
Working with leadership to define specific, measurable ESG objectives — and embedding them into how the organisation actually operates. Not a reporting exercise. The focus is on building the internal systems, accountability structures, and governance mechanisms that make ESG targets credible. Particularly relevant for organisations facing new Australian mandatory climate disclosure requirements.
Know your risks before they become incidents
A structured assessment of a specific AI system or deployment — examining technical risks, equity implications, stakeholder impact, and governance gaps. Produces a clear findings report with prioritised recommendations. Particularly useful before launch, before procurement sign-off, or following an incident.
How it works
All Design engagements begin with a diagnostic phase — a structured process of listening, reviewing existing documentation, and mapping the gap between current state and stated commitments. From there, the scope is shaped by what’s actually needed, not by a standard package.
Engagements are available as standalone projects or as the first phase of an ongoing advisory relationship.