AI Agent Development Services We Offer in Canberra
Canberra AI agent work means orchestration agents inside controlled environments — not consumer copilots. We build case-officer agents for Services Australia that summarise applicant interactions across Centrelink, Medicare, and Child Support records under Privacy Act APP boundaries. We build policy-drafting agents for DFAT and the Department of Finance that retrieve from cleared knowledge bases and emit drafts with full provenance. We build threat-triage agents for ACSC partners that ingest Defence-classified feeds (handled by cleared personnel only) and produce shareable summaries for non-cleared analysts. Frontier APIs are restricted to Anthropic Claude on AWS GovCloud equivalents (where APRA and IRAP-PROTECTED status is confirmed), Azure OpenAI in Australia Central, and self-hosted Llama 3 70B inside agency tenants for SECRET-adjacent work.
Our AI Agent Development Development Process
We treat every Canberra agent project as a procurement artefact first and an engineering artefact second. Discovery (three to five weeks) produces a PSPF Annex C risk assessment, an IRAP assessor scoping note, an Essential Eight maturity-level review against the agency's existing baseline, and an Algorithm Charter conformance plan. Build runs on two-week sprints with weekly check-ins on Defence's or ASD's standard reporting cadence. Deployment goes through the agency's certified gateway (typically a CDN+WAF combination already approved under the Hosting Certification Framework). Every release ships with a model card, an AI Ethics Framework self-assessment, and a Robodebt-aware human-in-the-loop control matrix that the agency's general counsel reviews before go-live. Canberra clients have learned the hard way that automated decision-making without human override is politically and legally toxic.
Process Discovery
1-2 WeeksWe sit with the people doing the work in {city} and record the real process — including the exceptions they handle by instinct, which are exactly what kill naive automations.
Tool Surface Design
1-2 WeeksEvery system the agent touches gets a typed, permission-scoped tool with its own rate limit and rollback path. The agent gets a narrow set of verbs, never raw admin access.
Build & Evaluate
3-6 WeeksThe agent is built alongside its evaluation suite from day one, using real tasks from your business with verified outcomes. Every change is scored before it ships.
Shadow Mode
2-3 WeeksThe agent runs against live traffic but commits nothing. We compare its proposed actions to what your team actually did and tune until agreement is high enough to trust.
Staged Autonomy & Run
OngoingAutonomy is released by risk band — reversible actions first, irreversible ones keeping a permanent human gate. Then we monitor completion rate, escalations, latency and spend.
Technologies We Use for AI Agent Development
Sovereign first. Azure Australia Central 1 and 2 (Canberra-region IRAP-assessed up to PROTECTED, with selected SECRET workloads via Azure for US Government Secret equivalents accessible to Five Eyes partners under specific arrangements) is the default control plane. AWS Sydney ap-southeast-2 covers OFFICIAL: Sensitive and below. For SECRET-level agent reasoning we deploy Llama 3 70B and Mistral Large quantised on agency-owned GPU racks inside ASD-accredited data centres, with no internet egress. Vector stores use pgvector inside the agency's existing Aurora or Azure Database for PostgreSQL footprint to avoid introducing a new third-party MSP. Observability is OpenTelemetry into Splunk or Elastic instances already operating under the agency's IRAP boundary. Model evaluation harnesses run hallucination, prompt-injection, and PII-leakage tests, with results filed against the agency's Algorithm Charter register.
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