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Autonomous AI agents that handle real work end-to-end - reasoning, acting, escalating.
Remote AI Agent Development for Australia A Dedicated Developer, Hourly or Monthly
AI agents that take actions, not just answer - planning, tool use, your APIs called and your systems updated, built by a remote dedicated developer for AUD $40/hr or AUD $3,000/mo on Australian afternoon overlap, Privacy Act aware.
AI Agents From Empiric Infotech LLP
Empiric Infotech LLP builds custom AI agents for Australian startups, SaaS teams, and product companies - agents that do work in your business, not chatbots that answer FAQs, and not no-code Zaps that fall over on the third step. Two ways to engage a remote dedicated AI agent developer, billed in AUD: book hours at AUD $40/hr for a defined scope (a v1 agent, a Privacy Act-aware evals pass, a model swap), or lock a month at the standard AUD $3,000 for 160-172 hours of full-time, exclusive work on Australian afternoon overlap when the agent is a rolling thing. The developer works in your GitHub or GitLab org, your Australian cloud (AWS Sydney ap-southeast-2, Azure Australia, GCP, or on-prem), and your model keys, with the orchestration framework that fits your case (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, the Anthropic SDK with tool use, or a hand-rolled state machine). We design the agent's task and tool surface, wire it to your APIs and databases (directly or via an MCP server - see /services/mcp-server-development), build the prompt and tool-calling logic, run it on the right trigger (cron, SQS, EventBridge ap-southeast-2, a Slack /command, an inbox watcher), and add evals, guardrails, retry/timeout/budget logic, approval gates, and a Privacy Act-aware audit trail. A senior team lead reviews and tests every release. Why the hourly premium? Agent work is high-iteration expert work; the monthly rate is the same flat AUD $3,000 as any Empiric engagement once you commit. No Fair Work obligations, superannuation, or payroll tax, because the developer is not your employee. If your need is more conversational, see /services/chatbot-development; if it is a single repetitive workflow, see /services/ai-automation-services.
What an AI agent engagement delivers for Australian teams
Not a demo notebook that does one nice thing in a happy path. A production agent in your Australian cloud, doing real work against your real systems, on Australian afternoon overlap, with the evals, guardrails, and audit trail a Privacy Act review can read.
An agent that plans and acts, not just answers
A multi-step LLM workflow that decides what to do next, calls your tools, reads results, and decides again - with short-term memory, retrieval where it needs context, and a clear stopping condition. Built on LangGraph, CrewAI, AutoGen, the OpenAI Agents SDK, the Anthropic SDK with tool use, or a hand-rolled state machine, whichever fits.
Wired to your Australian stack
Adapters over your REST and GraphQL APIs, your Postgres or MongoDB, your CRM (HubSpot, Salesforce, Pipedrive), your helpdesk, your email and Slack, your accounting (Xero, MYOB), your internal services - exposed as agent tools with per-tool permission scopes, input validation, idempotency, and a Privacy Act-aware audited boundary. If you already have an MCP server, the agent uses it; if you do not, we can build one.
Privacy Act-aware evals, guardrails, and a human in the loop
Eval-driven testing on real inputs, retry and timeout and budget caps, content and safety filters, approval gates on actions with consequences, a clear escalate-to-human path, and a compliance-readable audit trail. Australian Privacy Principles aware, data in AWS Sydney if you want it there, sub-processor list (model providers, vector DBs, observability) on day 0.
Runs on Australian-stack triggers
Cron, AWS EventBridge (ap-southeast-2), SQS, Slack slash commands, an inbox watcher, a button in your admin UI, a row insert in your DB - whichever maps to how the work actually arrives. Production-grade scheduling, replay on failure, dead-letter handling, structured logs, and a dashboard on volume, success rate, latency, and per-run cost.
The right vertical agent for your case
We have built research agents, ops agents, sales-qualification agents, support agents with handoff, back-office agents (invoice, AP, reconciliation, Xero / MYOB), and content agents - across Australian SaaS, agencies, and product teams. The shape is the same; the tool surface and the policy are yours.
Multi-agent only when it earns its complexity
A planner-worker pair, a critic-loop, a small team of specialised agents - useful when the task is long-horizon or genuinely needs separation of concerns. We start with one agent and add more only when the eval numbers say it helps.
A developer who is still there next month
Models change, your tools change, your edge cases change. A dedicated engagement means the same developer tunes the prompt, swaps the model, adds the next tool, and keeps the evals green, month after month - without a Fair Work process to manage.
How we scope an AI agent engagement for an Australian team
No multi-week sales cycle and no twenty-page statement of work. A call, a written scope, a trial, then hourly or monthly - your call. All on Australian afternoon overlap.
A scoping call
Thirty to forty-five minutes on Australian afternoon overlap. You tell us what work you want the agent to do, how often it should run, the systems it should touch, the data sensitivity, and what would count as a measurable outcome. No charge, no obligation.
A written scope and team proposal
We send back the task definition, the tool surface and trigger, the orchestration framework, the evals we would measure, the guardrails and human-in-the-loop points, the model and rough cost-per-run estimate, who we would put on it, and the price both ways - in AUD. We will tell you honestly when a single tool-using LLM call beats an agent.
A 7-day risk-free trial (on the monthly plan)
The developer gets into your repo and Australian cloud account and ships the first slice - the agent running end to end on a small, real subset of inputs, tools called against your real systems behind a permission scope, logs and an eval baseline - inside the first week, reviewed and tested by the senior lead. Not a fit by day 7, full refund on the monthly plan.
Hourly or monthly, your choice
Hourly: billed by the hour at AUD $40, time tracked to the minute, a weekly time report and a demo, stop any time - best for a defined scope or burst work. Monthly: 160-172 hours at the standard AUD $3,000, monthly billing in AUD, cancel with 7 days notice - the better value when the agent is a rolling thing. No Fair Work process either way. Switch between them month to month; add a developer at the same rate.
Two ways to engage an AI agent developer
Two ways to engage a remote AI agent developer, billed in AUD. By the hour at AUD $40 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 agent, a Privacy Act-aware evals pass, or a model swap. Or monthly at the standard AUD $3,000 for 160-172 hours of full-time, exclusive work on Australian afternoon overlap - the better value when the agent is a rolling thing, with a 7-day risk-free trial. Either way: your repo, your Australian cloud, the right orchestration framework, Privacy Act aware, data in AWS Sydney if you want it there, and a senior lead reviews and tests every release. Why the hourly premium? Agent work is high-iteration expert work; the monthly rate is the same flat rate as any Empiric engagement once you commit. No Fair Work, superannuation, or payroll tax either way. Model usage (LLM tokens, embeddings, vector DB seats) is billed to your own accounts at cost.
Hourly plan
- A dedicated AI agent developer, exclusive to you while you have hours booked
- Pay as you go - billed by the hour in AUD, time tracked to the minute, a weekly report and demo
- Best for a defined scope (v1 agent, Privacy Act-aware evals, model swap); no monthly commitment, stop any time
- Your repo, Australian cloud, and model keys from day one; Privacy Act aware
- Every release reviewed and tested by a senior lead; no Fair Work, super, or payroll tax
Monthly plan
- A dedicated AI agent developer, full-time and exclusive - 160-172 hours on Australian afternoon overlap
- The best value when the agent is a rolling thing - more tools, more flows, evals, model swaps
- Your repo and Australian cloud from day one; the same flat rate as any Empiric engagement
- 7-day risk-free trial, monthly billing in AUD, cancel with 7 days notice; no Fair Work, super, or payroll tax
- A senior lead reviews and tests every release; data in AWS Sydney if you want it there
Dedicated team
- A small dedicated team - developers plus a senior team lead who reviews and tests every release
- Add a developer (or a designer for an admin UI) at the same rate, in 48 hours
- Pair an agent developer with an MCP server or chatbot developer to ship related surfaces at once
- Best for a multi-agent system, a multi-channel rollout, or running several agents in production
What the first 90 days look like for an Australian team
Whether you are booking hours or on the monthly plan, the shape is the same, all on Australian afternoon overlap. Here is a typical first three months.
- Week 1
Onboarding and the first slice
Repo and AWS Sydney (or Azure Australia / GCP) access, a working local environment, the orchestration framework chosen, the task and tool surface mapped, and a first slice live - the agent running end to end on a small, real subset, tools called against your real systems behind a permission scope, logs and an eval baseline - shipped and reviewed. Day 7 is the risk-free decision point on the monthly plan.
- Month 1
An agent doing real work in production
The priority task running end to end on your real triggers and data - prompt and tool surface tuned, human-in-the-loop gates working, retries and budget caps in place, an escalate path, an eval suite running on every change, data in AWS Sydney if you want it there, and a dashboard on volume, success rate, latency, and per-run cost.
- Month 2
Edge cases, more tools, the second use case
Edge cases month one surfaced - smoothed, prompt and tool surface tightened, evals expanded, model-fallback handling, more tools added (integrations to Xero, MYOB, your CRM), and the second use case scoped or shipped.
- Month 3 and on
Reliability, cost, Privacy Act pass, and ahead of the roadmap
A reliability pass (retries, idempotency, dead-letter handling), a cost pass, an Australian Privacy Principles and Spam Act compliance pass where relevant, a quality pass on eval numbers, a model swap if a newer or cheaper one wins, and the next agent or multi-agent step scoped.
A remote AI agent developer - hourly or monthly - vs a fixed-price AI agency, a no-code agent platform, or an Australian in-house hire
| Empiric Infotech (AI agent developer - hourly or monthly) | Fixed-price AI agency | No-code agent platform (configure-it-yourself) | Hire an AI engineer in-house in Australia | |
|---|---|---|---|---|
| What you actually get | A custom AI agent doing real work in your systems, owned by you, with the developer who built it still there to fix and extend it | An agent built to a spec, then a maintenance retainer or you are on your own | A dashboard and a generic agent you configure yourself; the edge cases and integrations are on you | Whatever your team can build alongside their other work |
| Pricing model | AUD $40/hr for hourly work, or the standard AUD $3,000/mo for a full-time developer if you lock a month; model and platform usage billed to your accounts at cost | AUD $25K-$120K fixed bid for a v1 agent; change orders billed extra | Platform subscription (AUD $80-$800/mo) plus your team's time configuring and maintaining it | AUD $150K-$210K salary + superannuation + payroll tax - and rarely a full-time hire on its own |
| Estimate before you commit | An estimate both ways - hours per use case or what a month covers - plus a weekly time report and a demo | A fixed bid - you wear the overage as change orders | Platform demos; the real cost shows up after week two of configuration | Internal estimates, if any |
| Privacy Act, data residency, and audit trail | Australian Privacy Principles aware, data in AWS Sydney if you want it, and a compliance-readable audit trail - built in | Per the spec; new gates and a sub-processor list may be change orders | Per platform; check the location and the sub-processors | In-house, on your own terms |
| Orchestration choice | The right framework for the case - LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Anthropic SDK with tool use, or hand-rolled - chosen with you | Usually whatever the agency standardises on, whether or not it fits | Whatever the platform supports | Whatever your team picks |
| Quality control | A senior lead reviews and tests every release before it goes live - built in, no extra charge | Per agency - often the same people who built it | On you to review and verify | Your own review process, if you have one |
| When the model changes (or breaks) | The same developer swaps the model, re-runs the evals, and ships the fix - book an hour, or it is in the monthly plan | A support ticket, or a new maintenance retainer | Wait for the platform to support it | Whoever built it, if they are still at the company |
| Employment overhead, and time to start | None - the developer is not your employee; no Fair Work, super, or payroll tax; 48 hours to start | None; 2-6 weeks (proposal, SOW, kickoff) | None; days to start, weeks of configuration | Fair Work, super, payroll tax, leave; 2-4 months in a thin AI-talent market |
Figures are typical Australian market ranges, not quotes. Model and platform usage (LLM tokens, embeddings, vector DB) apply on top of any build cost in every option and are billed to your own accounts in ours. A fixed-price agency build of a comparable agent commonly lands in the AUD $25K-$120K range before change orders.
Working hours and Australian overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 10:30 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 2:00 PM - 12:00 AM (next day), project manager 12:00 PM - 3:00 AM (next day).A solid block of live hours every business day, with async cover on either side.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:00 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 - 10:00 AM (next day).
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:00 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:00 PM.
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why Australian teams build their AI agent with a dedicated developer, not a fixed-price agency
An AI engineer in Sydney or Melbourne who can ship a production agent (not just wire up a chat UI) lands at roughly AUD $14,700 to $20,400 a month all-in once you add superannuation, payroll tax, and on-costs, in a thin local AI-talent market where the engineer you actually want is already inside Canva, Atlassian, or a Series-B AI startup. A fixed-price AI agency build of a v1 agent typically runs AUD $25,000 to $120,000 before the first change order, then a separate maintenance retainer. Empiric Infotech is billed two ways - AUD $40 an hour for a defined scope, or the standard AUD $3,000 a month per developer for 160-172 hours of full-time, exclusive work - in AUD, with the same person on your agent the next month, and a senior lead reviewing and testing every release at no extra cost.
AI agent work is recent enough that the risk on a fixed-price build is real: an agency learning the framework on your dime, an agent that does the happy path and falls over on edge cases, evals that exist only in the demo, no Privacy Act-aware audit trail, a v1 delivered the day the SOW closes and then frozen while the model lineup shifts. A dedicated Empiric developer has shipped AI agents in production for Australian SaaS, agencies, and product teams - tool use, retrieval, evals, guardrails - and is still there next month when the model improves or your tool surface grows.
We have built AI and LLM features into products since the current wave began - retrieval, agents, structured extraction, model integration - and shipped web and mobile products since 2020. The depth shows up in the parts a quickstart skips: tool surfaces modelled to your domain, idempotent tool calls so a retry does not double-charge a card, evals that catch a regression before your users do, a human-in-the-loop boundary a compliance review trusts, and the honesty to say when a single tool-using LLM call beats an agent for what you are doing.
Recent AI, product, and integration work
Acceleread - an Australian product engineered end to end
An Australian product built for an Australian client by an Empiric Infotech team - the application, the integrations, and the backend behind it. The integration discipline an agent build sits inside, on Australian afternoon overlap.
Read case studyYield Magnet - an Australian product engineered end to end
An Australian B2B product built for an Australian client by an Empiric Infotech team. The shape of the wiring an agent build needs - your repo, your AWS Sydney, your data.
Read case studyDRT - a trans-Tasman build
A New Zealand product built for an NZ client by an Empiric Infotech team - trans-Tasman overlap, the same engagement model, the same senior-lead review on every release.
Read case studyReady to build your AI agent?
Tell us what work you want the agent to do for your Australian business - the task, the inputs, the outputs, the systems it should touch, how often it should run, the data sensitivity, and what would count as a real outcome. Within 24 hours we will send back a task definition, a tool surface and trigger, the orchestration framework, an evals plan, a team proposal, and an estimate both ways - hours per use case or what a month covers, in AUD. Your developer starts inside 48 hours on Australian afternoon overlap.
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
Whether you’re an agile startup or a regulation-heavy enterprise, our bespoke AI agents streamline complex workflows, unify disparate systems, and automate repetitive tasks-fully tailored to the unique 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 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. Whether you’re leveraging open-source models, enterprise platforms, or a hybrid stack, our solutions adapt to your tech environment-delivering a unified, scalable system without forcing you into a one-size-fits-all toolchain.
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 takes multi-step actions - it plans, calls your tools, reads results, decides again, and writes back to your systems. A chatbot answers questions, usually from a knowledge base, in a single back-and-forth (see /services/chatbot-development). An agent can ingest a lead, enrich it, score it, draft outreach, and update HubSpot or Salesforce - on its own, with a person approving the send. A chatbot can tell a customer the refund policy. They overlap, and one engagement can cover both.
Two ways, billed in AUD. By the hour at AUD $40 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 agent, a Privacy Act-aware evals pass, or a model swap. Or monthly at the standard AUD $3,000 per dedicated developer for 160-172 hours of full-time, exclusive work in your repo and Australian cloud, on Australian afternoon overlap, with a 7-day risk-free trial - the better value when the agent is a rolling thing. Either way: Privacy Act aware, data in AWS Sydney if you want it there, a senior lead reviews and tests every release, and no Fair Work, super, or payroll tax. The monthly rate is the same flat rate as every other Empiric Infotech engagement; no premium for the agent framing. Model and platform usage (LLM tokens, embeddings, vector DB) is billed to your own accounts at cost. Add a developer at the same flat rate when the surface grows.
You own it - your repo, your AWS Sydney or Azure Australia or GCP account, your model keys, your data - from day one. Data in AWS Sydney (ap-southeast-2) if you want it there. Australian Privacy Principles aware handling, a sub-processor list (model providers, vector DBs, observability), and a compliance-readable audit trail on day 0. Spam Act-aware handling where the use case involves outbound messages.
Whichever fits the case. LangGraph for stateful, graph-structured workflows. CrewAI for role-based multi-agent setups. AutoGen for conversational multi-agent. The OpenAI Agents SDK or the Anthropic SDK with tool use for single-agent flows. A hand-rolled state machine when the orchestration logic is simpler. We pick on the scoping call and tell you why, in writing.
Several layers in production from day one. Per-tool permission scopes and input validation. Idempotent tool calls so a retry does not double-charge a card. Approval gates on actions with consequences. Budget and rate caps on LLM calls. Eval suites that run on every prompt or tool change. Retries with exponential backoff, dead-letter handling, and an escalate-to-human path. A Privacy Act-aware audit trail an oncall engineer or compliance reviewer can read.
Whichever wins on your evals at a cost that works. Claude (Anthropic) is our default for tool use and long-context tasks. GPT (OpenAI) for cases where the latest model lineup is a fit. Gemini (Google) for multimodal or long-context cases. Open-source (Llama, Mistral, Qwen) for cost-sensitive or self-hosted cases in AWS Sydney.
No. The developer is not your employee. There is no Fair Work process to manage, no superannuation, no payroll tax, no annual leave or long-service accrual. The engagement is a service contract between two companies, billed monthly or hourly in AUD, with 7 days notice to stop on the monthly plan or stop-any-time on hourly.
Within 48 hours of sign-off: a scoping call on an Australian afternoon slot, a written scope and team proposal, then onboarding on day one. The first 7 days on the monthly plan are a risk-free trial with a full refund if it is not a fit. After that it is monthly billing with 7 days notice to stop, or hourly with stop-any-time - no auto-renewal, no minimum term.
GET A QUOTE NOW
Tell us about your challenges, and we’ll come up with a viable solution!
