One body. Four engagement modes.

Strong alignment to the North Star; cross-industry impact; coordination across multiple organisations or technical boundaries; unclear or contested ownership; high consequence if delayed.

AIIA working with partners to develop and transition solutions into operational use.

Orchestrated delivery plan; agreed ownership and assurance route; reusable components and evidence to support adoption beyond the initial setting.

Local application; potential to scale or transfer; opportunity to generate reusable capability; delivery constrained by capability, capacity or assurance maturity.

Delivery is led by an organisation, with AIIA providing targeted technical expertise, co-design input, additional resource or access to shared methods.

Accelerated delivery; strengthened assurance evidence; improved transferability; reusable artefacts and patterns where appropriate.

Owned and resourced initiatives; limited system impact; need for alignment, consistency or early assurance input rather than delivery support.

AIIA provides advisory input to help teams shape approaches, navigate governance and assurance, and draw on learning from elsewhere.

Clearer approach and decision route; alignment with standards and lessons learned; reduced rework and assurance uncertainty.

Early-stage exploration; low risk or self-contained use cases; focus on awareness, skills or understanding potential benefit rather than immediate delivery.

AIIA shares learning, highlights effective practice and supports skills development to improve the quality and confidence of AI activity across the sector.

Improved awareness and capability; better quality of proposals; clearer understanding of where AI adds value and what good looks like.