The pattern behind the work.
Engagements are confidential; the pattern is not. Each follows one discipline: name the problem, architect the intervention, and end at a decision the client owns.
Governance before deployment
When a federal department faces the automated-decision compliance deadline without an accountability structure, the engagement begins with governance architecture and Algorithmic Impact Assessment readiness, and ends at a decision the department owns.
Capability at scale
When a Crown corporation needs AI literacy across the organisation, the engagement runs as a multi-session programme with defined capability measures, sequenced from executive briefing to department-wide delivery.
Strategy to execution
When a private-sector organisation has stalled AI investment, the engagement maps use cases against the 70-20-10 intervention model, prices the cost of standing still, and ends at a scale, refine, or stop decision.
Named client references and measured outcomes are published as engagements conclude and clients grant permission; references are available to qualified prospects on request.