Research on the APIG operating model — Actors, Practices, Infrastructure, Governance — for structured AI adoption and workflow redesign.
The Actors–Practices–Infrastructure–Governance (APIG) framework is Strategen AI's proprietary model for understanding how artificial intelligence reshapes work. APIG provides a structured lens for examining AI's impact across four interdependent organisational dimensions: Actors (who does what — the human roles, capabilities and decision rights that shift when AI enters a workflow), Practices (the processes and routines that must adapt), Infrastructure (the data, systems and technical architecture AI depends on), and Governance (the accountability, oversight and control mechanisms needed to ensure AI operates as intended).
Generic AI strategy frameworks treat AI as a technology to be procured and deployed. The APIG model treats AI as an organisational change — one that reshapes roles, processes, systems and accountability structures simultaneously. Organisations that plan AI adoption purely as a technology programme routinely underestimate the human, process and governance dimensions of successful implementation. By examining AI's impact across all four APIG dimensions in concert, organisations can identify where adoption is most likely to break down and design interventions that address root causes rather than surface symptoms.
Research in this hub tests APIG's explanatory power across sectors and use-case types. Papers examine how different organisations weight the four dimensions, which dimensions most frequently constrain adoption success and how the relative importance of each dimension varies by industry, organisation size and use-case risk level. As adoption scales, the Governance dimension becomes progressively more critical — requiring systematised policy frameworks, risk registers, decision rights and board reporting that keep pace with the volume and strategic importance of AI in use.
AI shifts destination management from reactive promotion to predictive intelligence, governance, and proactive visitor stewardship.
Category: Destination Intelligence | Year:
Australia needs sovereign AI infrastructure and models to reduce foreign dependency and retain strategic value.
Category: AI Sovereignty, National Capability | Year:
Agency as a Service reframes AI adoption as outsourcing organisational judgement, decision rights, and accountability.
Category: AI Governance | Year:
AI leadership appointments are governance decisions requiring better mandates, panels, and assessment criteria.
Category: Recruitment, AI Strategy, Operating Model | Year:
Agentic AI exhausts PPT by redistributing agency across humans, systems, practices, infrastructure and governance.
Category: AI Transformation Frameworks, Sociotechnical AI Governance | Year: