Data sovereignty and centralised management prioritised over cost; IBRS favours containerised, Australian-hosted infrastructure across global, domestic, and open-source stacks.

HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.

Multi-agent systems improve reasoning through collaborative debate. While costly and slow, they are vital for high-stakes tasks requiring extreme accuracy.

Reflexion architecture uses self-correction and memory to fix errors, but high costs and latency make it best for deterministic tasks.

Plan-and-Execute architectures prioritise structured, hierarchical workflows over reactive loops, delivering superior predictability and parallel execution for complex, multi-step business tasks.

ReAct architecture boosts performance via iterative reasoning, yet faces high costs and latency. It’s best for narrow, specialised research tasks.

BDI architecture offers a transparent, resource-efficient framework for goal-directed RAG, though it requires stable environments and rigorous upfront plan engineering.