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Autonomous AI agents that handle real work end-to-end - reasoning, acting, escalating.
AI Agent Development For Australian Teams A Remote Dedicated Developer
A remote developer who builds AI agents for Australian teams: agents that answer customers, update Xero or HubSpot and prepare work for approval overnight. Privacy Act handling and Essential Eight controls designed in, data kept in Australian regions when you need it, and a developer live until midnight AEST.
AI Agents From Empiric Infotech LLP
Empiric Infotech LLP provides AI agent development for Australian software companies and operations teams. A remote dedicated developer builds agents that take actions: a support agent that checks a booking or order and resolves the request, a finance agent that matches supplier bills to orders in Xero or MYOB and queues them for approval, a sales agent that researches an enquiry and prepares the record in HubSpot or Salesforce. Australian buyers ask specific questions early. Personal information falls under the Privacy Act and the APPs, and because your developer works from India, we treat their access as an overseas disclosure under APP 8 and document it. From December 2026, privacy policies must explain substantially automated decisions that significantly affect people, so each agent logs which decisions it makes and which a person makes. Larger customers will ask about the Essential Eight, so admin access stays restricted, logins use MFA and backups are tested. The agent runs in your own AWS, Azure or Google Cloud account in Sydney or Melbourne when you need data onshore, and model calls can stay in an Australian region through Azure OpenAI or Amazon Bedrock. Your developer is live from 2:00 PM to midnight AEST, and a senior team lead reviews and tests every release. Our Australian work includes Architecture CRM, built by a single dedicated developer, which connects Google and Microsoft email, calendars and contacts through OAuth with careful token management, the same plumbing an agent's tools depend on.
What AI agent development delivers for Australian teams
Agents that act in the systems Australian businesses use, with the privacy and security answers your customers and board will want.
Customer and booking agents
Agents that read an enquiry, check the booking, order or account, apply your policy and resolve routine requests, with a clean handover to a person when they are unsure. Complaints and refunds always reach a human.
Finance and admin agents
Agents that match supplier bills to orders in Xero or MYOB, check ABNs and GST, chase missing paperwork by email and prepare reconciliations for approval. They do the preparation; a person approves anything that moves money.
Privacy Act and APP handling
The agent sees only the personal information its job needs, keeps memory under a retention rule and logs every access. Your developer's access from overseas is documented under APP 8, and run logs help you assess any incident under the Notifiable Data Breaches scheme.
A record of automated decisions
Each agent records which decisions it makes on its own and which go to a person, so your privacy policy can describe substantially automated decisions accurately once the new transparency rules apply from December 2026.
Onshore hosting and Essential Eight controls
Hosting in your AWS Sydney or Melbourne, Azure Australia East or Google Cloud account, model calls in an Australian region when required, restricted admin access, MFA on human logins, scoped tool credentials and tested backups.
Evals and evening releases
A test set from your real cases runs on every prompt, model or tool change. Because your developer is online until midnight AEST, releases go out after your business hours with someone watching the first runs.
How an Australian AI agent engagement starts
An agent working on real cases within the first week, run through your afternoons.
A call in your afternoon
Thirty minutes after lunch on AEST, or around noon for Perth. You describe the job for the agent, the systems it would use, the personal information involved and how you would measure success.
A design and privacy note within 24 hours
The agent's tools and permissions, approval points, eval plan, a note on which personal information it touches and where it is hosted, and an estimate on both plans in AUD. The NDA and IP assignment are signed before access.
An agent on real cases
Your developer starts within 48 hours and has the agent working end to end on real cases by the end of the first week, with logs and a first eval score. The monthly plan's first 7 days are a trial, refunded in full if the developer is not a fit.
Monthly or hourly, invoiced in AUD
One AUD invoice a month for a full-time developer, or hours tracked to the minute. No superannuation, payroll tax or Fair Work obligations on your side, and seven days' notice to stop.
AI agent development pricing in AUD: hourly or monthly
Both plans are invoiced in AUD and paid by BPAY, direct EFT or international wire, issued without GST so you self-assess under ATO rules. The monthly plan is a full-time AI agent developer for 160 to 172 hours, billed upfront, for an agent that will keep growing. The hourly plan suits a defined job, such as an eval suite, a privacy review of an existing agent or a move to Australian-hosted models. The AI hourly rate is above our standard rate because agent work comes in short expert bursts; the monthly rate matches our standard Australian monthly rate. Model and platform usage stays on your own accounts at cost.
Hourly plan
- An AI agent developer, exclusive to you while hours are booked
- Hours tracked to the minute, with a weekly report in AUD
- Suited to hardening an existing agent or adding evals
- Works in your Australian cloud region with your model keys
- Every release reviewed and tested by a senior team lead
Monthly plan
- A full-time AI agent developer, 160 to 172 hours a month
- Live 2:00 PM to midnight AEST, Monday to Friday
- One AUD invoice a month, no GST added; you self-assess
- 7-day risk-free trial, then seven days' notice to stop
- No superannuation, payroll tax or Fair Work obligations
Dedicated team
- Two or more developers plus a senior team lead
- For several agents, or an agent plus the tools and MCP server it uses
- Add a developer, or a designer for approval screens, within 48 hours
- Privacy and Essential Eight answers for customers and your board
The first 90 days of an AI agent build with an Australian team
A typical first quarter, reviewed in your afternoons, with evening releases and overnight eval runs.
- Week 1
A privacy note and a first agent on real cases
Scoped access in your Australian region, a note on the personal information involved, the agent working end to end on a small set of real cases, and a baseline eval score. Day 7 is when you decide on the trial.
- Month 1
Live work with approvals
The agent handling live cases with approvals on anything consequential, spend caps, an escalation path to a person, and evals on every change. Releases go out in your evening.
- Month 2
More tools and the decision log
More tools connected, the hard cases from month one handled, and the log of automated decisions reviewed with whoever owns your privacy policy.
- Month 3
Cost, reliability and the next agent
Models re-tested on your evals, Australian-hosted options included, retries checked so no action repeats, and the next agent planned with your team.
A dedicated AI agent developer vs an Australian AI agency, an agent platform, or an in-house hire
| Empiric Infotech (dedicated AI agent developer) | Australian AI agency (project) | Agent platform you configure | In-house hire in Australia | |
|---|---|---|---|---|
| Privacy Act and APP 8 | Overseas access documented; data minimised; a decision log kept | Usually onshore; check the sub-processors | The vendor's hosting and sub-processors | Onshore |
| Hosting | Your cloud in Sydney or Melbourne when required | Often the agency's environment until handover | The vendor's region | Your infrastructure |
| Security controls | Scoped tools, restricted admin, MFA and tested backups | Per agency | The vendor's controls | Your IT policies |
| Evals | On every prompt, model and tool change | Often only at delivery | Whatever the platform offers | If your team makes time for them |
| Hours you can reach them | Live 2:00 PM to midnight AEST | Business hours | Vendor support hours | Business hours |
| Employment obligations | None: the developer is not your employee | None | None | Fair Work, super, payroll tax, leave |
| Invoicing | One AUD invoice a month, no GST added | A project fee with GST | A subscription, often in USD | Payroll |
The comparison describes how each option usually works, not any one provider.
Working hours and Australian time zone overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).Live cover across the edges of your day, your morning and your evening, with a project manager who replies the same business day.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why Australian teams build AI agents with a dedicated developer
The first version of an agent covers the cases you planned for. The value comes in the months after, as the agent meets the cases you did not plan for, gains tools and moves to better models. A project agency hands over at launch, which is when that work begins.
A dedicated developer stays with the agent, reads its failed runs, adds them to the evals and keeps its privacy record current as it changes. Hiring an engineer in Sydney or Melbourne who has shipped agents to production is slow, and comes with superannuation, payroll tax and leave on top of the salary.
The hours work in your favour. Your developer is live from 2:00 PM to midnight AEST, or 12:00 noon to 10:00 PM AWST in Perth, so reviews happen in your afternoon and releases run in your evening. You own the code, prompts and model accounts from day one, pay one AUD invoice a month, and can stop with seven days' notice.
Recent AI, product, and integration work
Architecture CRM: Google and Microsoft integrations
Email, calendar and contact sync from Google and Microsoft into one workspace, with OAuth token management, rate-limit handling and low-latency updates: the kind of integration layer an agent's tools are built on.
Read case studyEndoDNA: an AI assistant over sensitive data
A HIPAA-compliant platform where clinicians ask an AI assistant about labs, DNA and patient history in plain language, with permissions for five user roles and answers streamed in real time.
Read case studyAcceleread: built for an Australian company
A speed-reading training app in 24 languages with an adjustable pacer, adaptive learning paths and subscription tiers, live on iOS, Android, macOS and Apple Vision Pro.
Read case studyTell us the job you want an agent to take off your team
Describe the task, the systems involved and the personal information it would touch. Within 24 hours you get a design with tools, permissions, approval points and an eval plan, a privacy note and an estimate in AUD. Your developer can start within 48 hours and is live through your afternoon.
Who We Help:
For Teams Who’ve Outgrown
Chatbots and Templates
We help engineering, operations, and product teams replace brittle chatbots and manual tasks with AI Agents - designed for scale, reliability, and seamless integration with your real business processes.
This Is for You If:
You're tired of generic bots that miss nuance and break under pressure
You need agents that understand your workflows and data
You're managing fragmented support, sales, or operations manually
You're looking to reduce response time, errors, and burnout
You want custom logic, fallback handling, and full control over AI behaviour
What We Do
AI Agents That Handle Real
Operations - Not Just FAQs
We build domain-specific agents that go beyond answering questions. They reason, decide, and act across workflows and channels.
What We Build:
Autonomous sales agents for inbound lead response
AI support agents for triage, follow-up, and ticket generation
Voice-enabled assistants for IVR and scheduling
Internal ops agents for reporting, data cleaning, and task automation
Multilingual, multi-channel agents (email, chat, WhatsApp, voice)
Built With:
We’re platform-agnostic - if it can be automated, we’ll make it happen.
Where AI Agents Make a Measurable Impact
Sales & Lead Response
Instant replies, qualification, calendar booking - without human delay
Built with: n8n, Make, Zapier, and custom API orchestration
Customer Support
Triage queries, update CRMs, generate tickets, escalate intelligently
Powered by: Chat-GPT, LangChain, OpenAI, Gemini
Voice IVR Agents
Smart, conversational IVRs that solve, not just redirect
Tech behind the scenes: OCR, LLMs, vector search, Pinecone
Internal Operations
Generate reports, clean data, run daily workflows on command
Built using: Twilio, Vapi, Retell AI, Telegram, OpenAI
Knowledge Retrieval
Instantly surface SOPs, docs, and product info with citations
Integrated into: Notion, Data Studio, PowerBI, and more
Our Step-by-Step Process for AI Agent Development at Scale
A Strategic Process to
Build Agents That Think Before
They Talk
Every AI agent we build is grounded in your real data, use case, and operations - not just an LLM prompt.
Discovery & Use Case Mapping
Identify high-impact areas for automation and conversational UX
Outcome: A ROI-driven roadmap aligned with your business goals
Prompt & Agent Design
Craft system-level prompts, memory design, and fallback handling
Outcome: A flexible, future-ready blueprint with no platform lock-in
LLM & Stack Selection
Choose best-fit LLMs, APIs, and hosting models for your needs
Outcome: Quick wins and stakeholder buy-in through targeted POCs
Development & Integration
Build, train, and connect agents into your tools and workflows
Outcome: Fully functional, end-to-end automations in your environment
Testing, Training & Handoff
Validate edge cases, train your team, and iterate based on feedback
Outcome: Full ownership, independence, and a trained internal team
Industries We Build Agents For
AI Agents, Built for the Demands of Your Sector
From agile startups to regulation-heavy enterprises, our bespoke AI agents streamline complex workflows, unify disparate systems and automate repetitive tasks, tailored to the challenges and compliance needs of your sector.
Industries We Serve:
SaaS & Tech Startups
Automate GTM workflows, onboarding, CRM updates, and support escalations.
E-commerce & DTC Brands
Streamline order processing, inventory sync, customer notifications, and returns.
HR & Recruitment Teams
Simplify candidate screening, ATS syncing, and onboarding checklists.
Healthcare Admin & Support
Automate patient intake, scheduling, and compliance tracking securely.
Logistics & Operations Teams
Route orders, sync inventory, trigger dispatch workflows - all in real time.
EdTech Platforms
Automate testing, grading, learner onboarding, and progress updates.
If your operations feel too complex for templates, you're in the right place.
Why Empiric Infotech for AI Agents
More Than Chatbots - We Build Thinking Systems
We don’t do off-the-shelf bots or one-size-fits-all workflows. Instead, we architect bespoke, scalable AI agents that integrate deeply with your existing operations and evolve alongside your business.
What Sets Us Apart:
Deeply Integrated with Your Operations
We architect AI agents that connect to your databases, APIs, and legacy systems-no generic, one-size-fits-all logic.
Privacy-First, Self-Hosted Options
Custom AI agents built to your security standards-GDPR-compliant and deployable on your infrastructure.
Stateful Agents with Robust Fallbacks
Agents retain context, handle errors gracefully, and expose full observability so you always know what’s happening.
Rapid v1 Builds & Real-World Testing
We deliver working prototypes fast, validate them with live data, and iterate to maximize ROI and stakeholder buy-in.
Full Ownership of Logic & Data
You get the complete code, configurations, and datasets-no black boxes, no vendor lock-in, just transparent AI.
Continuous Learning & Optimization
Agents continually learn from interactions and feedback, adapting their behavior to improve accuracy and performance over time.
Tools We Integrate - Built Around Your Stack, Not Ours
Agnostic. Conversation-First Aligned to Your Stack.
We architect AI agents as the central intelligence in your ecosystem, plugging into your existing data sources, APIs, and workflows. Open-source models, enterprise platforms or a hybrid stack: our solutions adapt to your tech environment and deliver one unified, scalable system built around the tools you already use.
What We Work With:
AI & Language Models
Automation Platforms
AI Frameworks
Voice & Communication
Backend & Database
OpenAI
Claude
Gemini
Mistral
Meta LLaMA
We’ll design a setup that fits your compliance and control needs.
Why Businesses Choose Empiric Infotech LLP?
Working with Empiric Infotech has been exceptional from start to finish. Their team is incredibly talented, highly responsive, and consistently delivers at a world-class level across UI/UX and back-end development. No matter the challenge or complexity we have brought to them, they have always found a solution. Having a development partner you can fully trust is invaluable, and I would highly recommend them to any company or founder looking for an elite development team.
Founder and CEO Roamate
We worked with Empiric Infotech to build a chatbot for our children’s theater project, and we’re so glad we did. The team was fast, responsive, and kept working until everything was perfect. The project was delivered on time, within budget, and the end result looks and works great. We’re truly grateful for their support
E-commerce Brand
I found in Empiric Infotech an excellent partner to build my blockchain platform. They are professional, knowledgeable, and supportive at every stage. Even after launch, we keep collaborating - and the results have always been wonderful
Founder Winupdraws
I was looking for a skilled software team to help me transform my prototype into a complete app. Empiric Infotech not only delivered exactly what I needed, but also added custom features, backend notifications, and guided me through publishing on both app stores. Their communication was smooth and reliable. I can gladly recommend them.
Founder and consultant at tak innovation
We needed support to strengthen our technical platform, and Empiric Infotech delivered exactly what we were looking for. The team was professional, responsive, and kept everything on track with both time and cost. As our company grows, we’re glad to have them as a trusted partner and would happily recommend their services.
Founder Skapasaga
Finding the right agency for our My Ayur app was challenging, but Empiric Infotech delivered exactly what we needed. Over past months, their expertise in FlutterFlow and MongoDB stood out, consistently delivering high-quality work. Professional, friendly, and reliable - a partner I would confidently recommend.
Founder and CEO Sresht Ayur
Working with Empiric Infotech has been exceptional from start to finish. Their team is incredibly talented, highly responsive, and consistently delivers at a world-class level across UI/UX and back-end development. No matter the challenge or complexity we have brought to them, they have always found a solution. Having a development partner you can fully trust is invaluable, and I would highly recommend them to any company or founder looking for an elite development team.
Charli SharpFounder and CEO Roamate
We worked with Empiric Infotech to build a chatbot for our children’s theater project, and we’re so glad we did. The team was fast, responsive, and kept working until everything was perfect. The project was delivered on time, within budget, and the end result looks and works great. We’re truly grateful for their support
Eva MesmanE-commerce Brand
I found in Empiric Infotech an excellent partner to build my blockchain platform. They are professional, knowledgeable, and supportive at every stage. Even after launch, we keep collaborating - and the results have always been wonderful
John FelipeFounder Winupdraws
I was looking for a skilled software team to help me transform my prototype into a complete app. Empiric Infotech not only delivered exactly what I needed, but also added custom features, backend notifications, and guided me through publishing on both app stores. Their communication was smooth and reliable. I can gladly recommend them.
Andrzej KarelFounder and consultant at tak innovation
We needed support to strengthen our technical platform, and Empiric Infotech delivered exactly what we were looking for. The team was professional, responsive, and kept everything on track with both time and cost. As our company grows, we’re glad to have them as a trusted partner and would happily recommend their services.
Fredrik HagenFounder Skapasaga
Finding the right agency for our My Ayur app was challenging, but Empiric Infotech delivered exactly what we needed. Over past months, their expertise in FlutterFlow and MongoDB stood out, consistently delivering high-quality work. Professional, friendly, and reliable - a partner I would confidently recommend.
Eshu MiddhaFounder and CEO Sresht Ayur
Compliance & Security
AI Agents Without Compromising Privacy or Control
What We Deliver:
GDPR-compliant conversational and data workflows
Role-based access controls (RBAC) for sensitive interactions
Self-hosting options for all LLMs, vector stores, and agents
Full audit trails, logging, and data retention policies
Built for teams that need smart agents - and strict compliance.
Let’s Build the Smart System Your
Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
An AI agent uses a language model to decide the next step and then acts through tools: checking a booking, updating Xero or HubSpot, drafting a reply, escalating to a person. Empiric Infotech builds agents through a remote dedicated developer who works in your accounts, with scoped tools, approvals on risky actions and evals on every release.
A flat monthly fee in AUD for a full-time developer (160 to 172 hours), or an hourly rate for a defined job. Current rates are in the pricing section above. It is a vendor engagement, so superannuation, payroll tax and Fair Work obligations stay off your books, and model usage stays on your own accounts at cost.
Three and a half hours inside your standard day, 2:00 to 5:30 PM AEST, and your developer stays live until midnight AEST. The project manager is available from 12:00 noon AEST. Perth teams get 12:00 noon to 10:00 PM AWST.
One invoice a month in AUD, paid by BPAY, direct EFT or international wire. Empiric Infotech LLP is established outside Australia, so invoices are issued without GST and you self-assess under ATO rules.
By design, and in writing. The agent reads only the personal information its job needs, keeps memory under a retention rule and logs every access. Your developer's access from India is documented as an overseas disclosure under APP 8, and the run logs help you assess any incident under the Notifiable Data Breaches scheme.
Yes. The agent runs in your own cloud account in Sydney or Melbourne, and model calls can go to an Australian region through Azure OpenAI or Amazon Bedrock. Logs, memory and backups stay in the same region.
They mean keeping a record. From December 2026, privacy policies must explain substantially automated decisions that significantly affect people, so our agents log which decisions they make alone and which go to a person. That gives your privacy officer what they need for the policy, and decisions with significant effects go to a person by default.
Whichever fits the job, explained in writing. LangGraph for stateful agents, the OpenAI Agents SDK or the Anthropic SDK with tool use for simpler ones, and MCP when several clients should share the same tools. Models are chosen on your evals, including Claude, GPT and Gemini, with Australian-hosted options when data must stay onshore.
You do, fully. The NDA and IP assignment are signed first, and the code, prompts, eval sets and model keys live in your accounts. With seven days' notice you can stop, and the agent keeps running where it is.
Yes. Architecture CRM, which connects Google and Microsoft email, calendars and contacts for an Australian business, was built by a single dedicated developer, and Acceleread, a speed-reading app in 24 languages, by a two-developer team. Typical Australian engagements run 6 to 18 months.
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Tell us about your challenges, and we’ll come up with a viable solution!
