Resources
A little clarity goes a long way.
Practical briefs and plain-language definitions for your next AI conversation.
Let’s talkThe vocabulary
In plain English.
- Hybrid AI
- AI that combines cloud services with private or local processing. Each workload runs in the environment that suits its data, performance and control requirements.
- AI agents
- Software that uses AI to interpret a task, use approved tools and take steps towards an outcome, with people reviewing important decisions.
- Orchestration
- Coordinating agents, business systems and human review so tasks happen in the right order and information reaches the right place.
- Sovereign point-to-point data transfer
- Moving data between approved endpoints through routes and infrastructure chosen to meet the required location, access and operational controls.
- Private AI
- AI workloads that run in an environment with defined access and data controls, using private cloud or local infrastructure.
- Sovereign AI
- AI infrastructure, data handling and governance designed to remain under the required Australian operational and legal controls.
- On-premise AI
- Models and retrieval systems that run on infrastructure physically controlled by the operator.
- Air-gapped
- A system with no connection to external networks. Data transfers and updates follow a controlled process within that isolated environment.
- Inference
- The live step where a model produces an output from an input and the context supplied to it.
- Inference topology
- The layout of model runtimes, data stores, policy controls, audit logs and approved routes that determines where each AI workload runs.
- Retrieval-augmented generation
- A pattern where the system retrieves relevant approved material before composing an answer, keeping evidence close to the output.
- Fine-tuning
- Adapting a model to repeated terminology or task patterns while keeping retrieval, permissions and evaluation as separate controls.
- Provenance
- The recorded path from an AI output back to its inputs — which documents, which model, which approvals. Shows where an answer came from; a person still decides whether it's right.
- Operational knowledge
- The records a business runs on — project files, contracts, procedures, correspondence — made searchable by AI without changing who may see what, which revision counts, or how each document is classified.
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