Airservices Australia seeks AI broker platform to govern enterprise-wide AI use on AWS
Why It MattersThe move signals growing pressure on air traffic control and other safety-critical government bodies to govern enterprise AI use through centralised, auditable platforms rather than unmanaged point solutions.
Airservices Australia, the government-owned organisation responsible for air traffic control in Australia, is exploring options to build a centralised AI broker platform within its AWS tenancy that would serve as a single governed entry point for all AI interactions across the organisation. The organisation issued a request for information indicating it wants to curb the "proliferation of unmanaged point solutions" as internal AI adoption accelerates. The broker platform, described as an "AI front door", would initially be trialled by approximately 100 users before being expanded to more than 3,000 users.
According to the request for information, the platform would present a unified conversational AI interface for staff productivity, knowledge retrieval and task automation. It would also support multi-model orchestration — routing requests to the most suitable foundation model based on task characteristics — and integrate with corporate systems via governed connectors, while giving administrators full visibility of usage, cost, behaviour and compliance.
Technically, Airservices Australia requires the broker to be deployed within AWS ap-southeast-2 in Airservices-controlled accounts, with Amazon Bedrock acting as the primary model gateway for accessing AI foundation models. The platform's requirements include a latency service-level objective on time-to-first token, along with a strong auditability component specifying that all AI interactions, tool invocations and administrative actions must be logged with immutable audit trails retained for a minimum of seven years.
