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Trần Duy Hưng, Cầu Giấy, Hà Nội

+84 34 667 4820

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AI Agent Development Services in Australia

Stop doing manually what AI can do automatically.

AI Agent Development Services for Australian Businesses

If your team repeats the same tasks every day — processing requests, generating reports, routing queries, reviewing documents — an AI agent eliminates the work entirely. ChainZ builds custom AI agents for Australian businesses: not a chatbot, not a simple automation, but a system that understands context, uses your tools, and handles the task end-to-end without a human in the loop.

This service is for you if…
01Your team spends hours on work that follows a predictable pattern — answering the same queries, filling in the same forms, pulling the same reports from the same sources.
02You've tried basic automation tools (Zapier, Make) but the logic is too complex, the data too varied, or the outputs too unpredictable to handle with simple rules.
03You know AI could help but you don't have an in-house AI team to build, test, and deploy a reliable agent — and you can't afford to get it wrong.
AI Agent Development
Typical delivery4–8 weeks
EngagementProject-based or T&M
Team size2–3 engineers
IndustriesAll industries
Get a Free Estimate → Book a Discovery Call
Response within 24 hours
No commitment required
Talk directly with our founders
We've shipped AI agents in production
what you get

Custom AI Agent Development:
Six things we deliver.

01
Working AI agent

A fully functional agent that handles your target workflow end-to-end — connected to your tools, tested on real data, deployed to your environment.

02
Tool & API integrations

The agent connected to whatever it needs — your CRM, email, database, internal APIs, or third-party services. We build the connectors, not just the AI layer.

03
Human-in-the-loop controls

Clear escalation paths for edge cases. The agent knows what it can handle autonomously and when to flag something for a human — no silent failures.

04
Monitoring & observability

Logging, error tracking, and performance metrics so you can see exactly what the agent is doing — and catch issues before they affect operations.

05
Full documentation

Architecture docs, prompt templates, integration specs, and runbooks. Your team can understand, maintain, and extend the agent without relying on us.

06
30-day post-launch support

One month of included support after go-live — tuning, bug fixes, and edge case handling as the agent processes real-world traffic for the first time.

how it works

From discovery call
to live agent in 4–8 weeks.

01. Discovery & scoping +
We map the exact workflow the agent will handle — inputs, decision logic, outputs, exception cases, and success criteria. No assumptions.
1 week · Workshop with your team
02. Architecture & tool design +
We design the agent's decision flow, select the right model (GPT-4o, Claude, Gemini), and spec all integrations before writing a line of code.
1 week · Architecture sign-off required
03. Build & integration +
We build the agent, connect it to your tools, and run it against real data. You get a weekly demo showing actual agent runs — not mockups.
2–5 weeks · Weekly demos every Friday
04. Testing, tuning & launch +
Edge cases, failure modes, performance under load — we test them all before go-live. Launch to production, handover docs delivered, 30-day support begins.
1 week · Staging → production
proof

We have shipped AI agents.
Here's the evidence.

🎬 Media & Content Production

AI pipeline eliminating 40+ hours of manual content work weekly

A creative studio was spending over 40 hours per week on repetitive content tasks — image resizing, format conversion, caption writing, hashtag generation. ChainZ built a multi-agent pipeline that automated the entire workflow: ingest source file → classify content → apply brand rules → generate platform-specific captions → export ready-to-upload assets. Zero manual steps.

80%
reduction in production time per campaign
↑ 40+ hours/week reclaimed · Zero formatting errors since deployment
Live in production
⚡ ChainHub

ChainZ built ChainHub — a multi-agent orchestration platform connecting 500+ AI models through a single API. ChainHub uses the same agent architecture we deploy for clients: routing logic, tool calling, context management, and fallback handling running reliably at scale, every day.

This proves we can build reliable, production-grade AI agent systems — not just working prototypes.
Multi-agent orchestration LLM routing Tool calling 500+ model integrations Production-grade
technology

What we build with.

LLM / AI Models
GPT-4oClaude 3.5Gemini 1.5Llama 3Mistral
Agent Frameworks
LangChainLangGraphCrewAIAutoGenCustom
Backend & Infra
PythonFastAPINode.jsPostgreSQLRedis
Deployment
AWSGCPDockerKubernetesOn-premise
faq

AI Agent Development in Australia:
Questions we get asked.

01.What's the difference between an AI agent and a basic automation?+
Basic automations (Zapier, Make) follow fixed rules — if X happens, do Y. They break when inputs vary or logic gets complex. An AI agent uses a language model to understand context, make decisions, handle edge cases, and call tools dynamically. It can process an unstructured email, decide what to do with it, update your CRM, and send a response — without you writing rules for every scenario.
02.How do you ensure the agent doesn't make mistakes with real business data?+
Every agent we build has explicit confidence thresholds and human escalation paths. When the agent is uncertain, it flags the item for a human rather than guessing. We run extensive testing on real data before go-live, and the 30-day post-launch support period catches real-world edge cases that didn't appear in testing.
03.Can the agent access our internal systems and data?+
Yes — that's usually the whole point. We build the integrations the agent needs: your CRM, email, internal databases, third-party APIs, or file storage. Australian data residency is available via AWS Sydney or GCP Sydney.
04.How much does AI agent development cost in Australia?+
A focused single-workflow agent typically falls in the AUD $15,000–$35,000 range. More complex agents with multiple decision branches or multi-agent coordination typically range AUD $35,000–$80,000. We give you a specific estimate based on your scope during discovery — no generic pricing.
05.How long does it take to build a custom AI agent for my business?+
A focused single-workflow agent typically takes 4–8 weeks end-to-end — from discovery workshop to live deployment. More complex agents involving multiple decision branches, custom integrations, or multi-agent coordination may take 10–12 weeks. We confirm the exact timeline during the discovery call before any commitment from either side.
06.Can you build AI agents for Australian businesses if you're based offshore?+
Yes — all of our clients are Australian businesses and we work exclusively with the Australian market. ChainZ operates GMT+7, giving genuine AEST morning overlap every day for standups, demos, and reviews. All pricing is in AUD, contracts are straightforward, and data residency is available via AWS Sydney or GCP Sydney for clients with local data requirements.
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Tell us what you
want automated.

Describe the task in plain English. We'll tell you whether an AI agent is the right approach and give you a realistic estimate — within 2 business days, no cost.