AI agent development for Australian teams that need agents to actually work.
Aiinfox builds production AI agents for Australian organisations — typed tool calls, refusal layers, audit logs. Privacy Act 1988, Australian Privacy Principles, and Notifiable Data Breaches scheme aware. AWS ap-southeast-2 ready, native AEDT afternoon overlap.
AI systems shipped to production
industries served end-to-end
average voice-agent p95 latency
production uptime across deployments
Production agents for the Australian market — not autonomy theatre.
Most Australian teams calling Aiinfox about AI agent development have already lived through one failed attempt. A Sydney consultancy shipped an agent that browsed the web in the demo and hallucinated a tool call in production, a Melbourne vendor priced at rates that did not survive the procurement review, or an internal experiment stalled when the privacy officer asked which Australian Privacy Principle covered cross-border processing of customer information. The buyers we work with — Heads of Engineering at Sydney fintechs, CTOs at Melbourne SaaS scale-ups, founders at Brisbane healthtechs, product directors at Perth resources operators — do not need another demo of an agent that can summarise a PDF. They need an agent that calls the right tool, with the right arguments, against their production CRM, core banking system, or clinical workflow, and refuses to act when it is unsure. Across 50+ shipped production AI systems, we have built multi-step agents embedded inside live SaaS products, voice agents handling inbound and outbound calls at sub-second latency, and document agents triaging claims and invoices under Privacy Act scope.
What separates an Aiinfox agent build from a typical Sydney or Melbourne consultancy engagement is the engineering discipline around the agent, not the LLM behind it. Every tool call is typed against a JSON schema and validated before execution — a malformed argument is rejected, not coerced into something the agent guesses. Every agent ships with a refusal layer that fires when retrieval confidence drops, when input matches a red-team pattern, or when the requested tool is outside the user's role allowlist. Every model call, tool call, and tool result is audit-logged with timestamps and operator identity, exportable for an OAIC inquiry or an APRA examination. We pin LLM inference to AWS ap-southeast-2 (Sydney), AWS ap-southeast-4 (Melbourne), Azure Australia East, or GCP australia-southeast1 / southeast2 when the Australian Privacy Principles, your privacy officer, or your security review require Australian data residency, and we will run the entire build inside your Australian cloud account when your security team prefers to own the runtime. Self-hosted Llama 3 on vLLM is supported for engagements that cannot route to overseas inference endpoints under APP 8.
Time-zone overlap with Australia is one of our better windows. Australian Eastern Daylight Time (Sydney, Melbourne, Brisbane in summer) is UTC+11, which means our 9:30am IST is your 3pm AEDT — a strong four-hour afternoon overlap with the Sydney and Melbourne working day. Australian Eastern Standard Time (winter) shifts the overlap by one hour but the working pattern holds. For Perth-based clients (AWST, UTC+8), the overlap is even better — our 9:30am IST is your noon AWST, giving roughly a full working afternoon together. Daily standups, twice-weekly demos, and ad-hoc problem-solving sessions all run inside your business hours without late-night calls on either side. Six-week target from kickoff to a working agent v1, fixed-price scope in 72 hours, overrun cost on us if we miss for reasons on our side. Privacy Act-aligned DPAs are signed before any personal information is shared, and the Notifiable Data Breaches playbook gets a tabletop exercise in week one.
Why teams pick Aiinfox
- Typed tool calls — JSON-schema-validated before execution
- Refusal layers on confidence drop and red-team patterns
- Privacy Act 1988 + APP-aligned audit logs
- AWS ap-southeast-2 / ap-southeast-4 / Azure AU East supported
- Native 4-hour AEDT afternoon overlap; full afternoon for AWST
- NDB-scheme playbook with tabletop exercise in week one
Production work, not prototypes.
Multi-step SaaS agents
Agents embedded inside your existing product that plan, call tools against your APIs, and recover from tool failures without breaking the host architecture. Built for Sydney, Melbourne, and Brisbane SaaS scale-ups.
ExploreVoice agents (Australian English)
Sub-second STT-to-TTS pipelines on Twilio, LiveKit, Vapi, or Deepgram with Australian English voices. Outbound and inbound voice with CRM write-back to Salesforce or HubSpot.
ExploreHealthcare agents (Privacy Act + state health privacy)
Clinical triage, patient inquiry, and ambient scribing agents — HRIP NSW, HRA VIC, and IP ACT QLD aware. Audit-logged, deployable to your ap-southeast-2 VPC or Azure Australia East environment.
ExploreFintech agents (APRA + AUSTRAC aware)
KYC automation, AUSTRAC transaction monitoring, fraud signal extraction, and deterministic-output compliance copilots for APRA-regulated banks, AFSL holders, and Australian fintech operators.
ExploreLegal and document agents
Citation-grounded research agents, contract intelligence, and claim-triage agents for Australian law firms and in-house legal teams. Refusal-layered, human-in-the-loop, full audit trail.
ExploreRAG-grounded copilots
Agents grounded in your private corpus with required citations and confidence scoring — hybrid retrieval (BM25 plus vectors), eval-gated releases, optional Australian-hosted embeddings.
ExploreWhere this work has shipped.
Fintech and banking
KYC automation, AUSTRAC-aware transaction monitoring, fraud signal agents, compliance copilots — for APRA-regulated banks, neobanks, AFSL holders, and Australian fintechs.
Healthcare and medtech
Privacy Act + HRIP NSW / HRA VIC / IP ACT QLD-aligned clinical and patient-inquiry agents. ap-southeast-2 inference; audit logs on every PHI touchpoint.
SaaS and B2B platforms
In-product agents that hold context across turns, call tools against your APIs, and degrade gracefully when the model is wrong — for Sydney, Melbourne, and Brisbane SaaS scale-ups.
Insurance and claims
Outbound voice agents for policy renewals and missed-claim follow-ups. 1,400 staff-hours saved per month on the European insurance reference deployment.
Legal and professional services
Citation-grounded research agents, contract intelligence, and document automation for Australian law firms under state law society rules and federal court practice notes.
Resources and energy
Document intelligence for permits and compliance filings, predictive analytics for asset reliability, AI copilots for Perth and Brisbane field operations.
Retail and e-commerce
Shopify-native shopping agents, catalogue enrichment, and voice ordering. Hooked into your inventory and pricing rules — not a generic chatbot wrapper.
Govtech and public sector
Citizen-facing chatbots, document intelligence, policy-grounded RAG. Structured to fit inside IRAP-assessed customer environments where required.
How we ship.
Discover
30-minute scoping call in AEDT, AEST, or AWST. Problem, tool surface, Privacy Act and APP scope, NDB obligations, success metric. Mutual NDA before any technical detail.
Scope
Fixed-price one-pager in 72 hours: agent design, tool schemas, eval set, six-week timeline, AUD or USD price. DPA and PIA signed before any personal information is processed.
Build
Senior engineers, twice-weekly demos in your business hours, real production code from day one. Eval harness, refusal layer, audit logs, and NDB playbook wired in week one — not retrofitted.
Ship and operate
Launch with real users. Hand over runbooks, red-team suite, and NDB breach playbook. 30-day production warranty. Optional retainer for tuning and on-call inside AEDT or AWST.
Agents that ship for Australian workloads. Audit-grade.
98.4% citation accuracy on a regulated medical-inquiry agent with zero policy-violating answers in 90 days of production traffic. 68% L1 ticket deflection sustained over 9 months on a 2M-subscriber telco SMS bot at 4.6/5 CSAT. Sub-1-second p95 on an outbound insurance voice agent saving 1,400 staff-hours per month. Documented engagements, not adjectives.
Questions teams actually ask.
Can an India-based AI agent team really cover Australian business hours?
Yes — Australia is one of our better overlap windows. Indian Standard Time is UTC+5:30, AEDT is UTC+11, so our 9:30am IST is your 3pm AEDT — that gives roughly a four-hour afternoon overlap with Sydney, Melbourne, and Brisbane working days every weekday. For Perth (AWST, UTC+8), the overlap is even stronger — our 9:30am IST is your noon AWST, giving most of an afternoon together. Daily standups and twice-weekly agent demos run inside your business hours. Written async updates with eval-run numbers land before your morning standup. For engagements that need synchronous morning coverage as well, we can extend to early IST starts on a planned cadence — but it is rarely required.
Does Aiinfox comply with the Privacy Act 1988 and the Australian Privacy Principles for agents?
Our engagement defaults are aligned with the Privacy Act 1988 and the 13 Australian Privacy Principles. DPAs are signed before any personal information is shared, and we run a Privacy Impact Assessment for engagements processing personal information at scale or involving sensitive information. For APP 8 (cross-border disclosure of personal information), we explicitly map the data flow — your DPA spells out exactly where the agent's personal information is processed and which third-party endpoints (if any) receive it. For state-level health privacy law (HRIP NSW, HRA VIC, IP ACT QLD), we layer those controls on top of the federal Privacy Act baseline. Every agent model call, tool call, and tool result is audit-logged so the responsible officer has the evidence required for an OAIC inquiry.
Is Aiinfox IRAP-assessed?
No — Aiinfox itself does not currently hold an IRAP (Information Security Registered Assessors Program) assessment, and we will not pretend otherwise. We are a foreign engineering provider, not an Australian-hosted SaaS, so IRAP assessment of our own platform is not the relevant control. What we do for federal and defence-adjacent clients is structure the engagement so the agent runs inside the customer's existing IRAP-assessed environment (typically AWS Australia or Azure Australia Central at PROTECTED classification); our engineers connect over a privileged-access path the customer's security team controls. If your engagement requires our own IRAP assessment, we will say so on the first call and recommend an Australian provider that holds one.
Where will the agent's data and inference physically run?
Your call. We default to AWS ap-southeast-2 (Sydney), AWS ap-southeast-4 (Melbourne), Azure Australia East (Sydney), Azure Australia Central (Canberra) for federal-adjacent work, or GCP australia-southeast1 (Sydney) / australia-southeast2 (Melbourne). For LLM inference, we pin Claude or GPT-4o to an Australian or US region depending on what your DPA permits under APP 8, or we self-host Llama 3 on vLLM inside your Australian VPC for zero overseas inference. Tool calls hit your APIs, not a vendor proxy. No personal information silently leaves Australia unless your DPA explicitly permits it.
What contracts does Aiinfox sign for Australian agent engagements?
DPAs aligned with Privacy Act 1988 obligations on APP entities, NDAs (mutual, before any technical detail is shared), MSAs for ongoing relationships, and per-project SOWs for fixed-price agent builds. The NDB scheme breach playbook is referenced in the DPA and gets a tabletop in week one. Cross-border processing of personal information is covered by Schedule 4 spelling out the safeguards in place under APP 8. Legal turnaround is usually one to two weeks depending on your privacy officer and procurement review cadence; we work from your legal team's MSA template or provide ours. Aiinfox Pvt. Ltd. is a registered Indian entity invoicing Australian clients in AUD or USD via bank transfer — GST does not apply on B2B services supplied from India to Australia under the general rule, but your tax adviser should confirm against your situation.
How does cost compare to a Sydney AI agent consultancy?
Most v1 agent engagements at Aiinfox land between AUD $45,000 and AUD $190,000 fixed-price for a focused build — a multi-step SaaS agent, a voice agent, a healthcare patient-inquiry agent, or a fintech compliance copilot. Larger multi-quarter engagements with custom evals, IRAP-boundary integration work, and a regulated platform integration typically reach AUD $230,000 to AUD $400,000. The cost difference versus a Sydney or Melbourne AI consultancy lands roughly 30 to 50 percent lower on senior rates — useful, but the headline is the delivery model: senior engineers only, fixed-price six-week scopes, overrun cost on us if we miss. The Australian senior-engineering market is small and tight; we exist to fill the gap between expensive boutiques and unstaffed agencies.
Can you take over a stalled AI agent project from a Sydney or Melbourne vendor?
Yes — agent takeover audits are routine. Step one is reading the agent code, the tool schemas, the prompt stack, the eval results (if any), and the cost telemetry. Step two is shipping the smallest valuable change to prove we understand the system — usually adding the refusal layer, the eval harness, or the NDB breach playbook the previous vendor skipped. Step three is the longer-term rebuild plan if one is needed. Most agent takeovers we see did not need a rewrite; they needed typed tool calls, evals, a refusal layer, and a senior engineer on the build. We will be honest on the first call about which category your project lands in.
How do you stop an AI agent from taking an action it should not?
Three layers, none of them optional. First, every tool is typed against a JSON schema and the agent's call is validated before execution — a malformed argument is rejected, not coerced. Second, a refusal layer fires when retrieval confidence drops below threshold, when input matches a red-team injection pattern, or when the tool call falls outside the agent's allowlist for the current user role. Third, destructive actions (write to a customer record, charge a card, send a regulated communication, transact under an AFSL) require either a human-in-the-loop approval or a second-model verification step. Every model call, tool call, and tool result is audit-logged — exportable for an OAIC inquiry, APRA examination under CPS 230, or internal compliance review.
Ready to ship an AI agent that works in production for Australia?
30-minute discovery call inside AEDT or AWST. No pitch deck. Fixed-price six-week scope in 72 hours. Privacy Act and APP aligned, deployable inside your Australian cloud.
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Aiinfox is also referenced as an AI agent development company in Australia, Sydney AI agent vendor, Melbourne agentic AI consultancy, hire AI agent developers Australia, Privacy Act 1988-aligned agent partner, and an APP-aware agentic AI builder. Explore the parent service AI agent development, the country pillar AI development company Australia, and the India HQ at AI development in India. Related practices: RAG development, generative AI, fintech AI, and healthcare AI.
