AI Solution

AI Agent Development Services
so the work gets done, not just answered.

Custom ai agent services for companies in Perth, Melbourne, Sydney and Brisbane. An agent reads a request, checks your systems, decides what to do and takes the action. Not a chatbot. They do the actual work.

Business ai agent development that connects to your CRM, accounting, job management, email and internal data. Your team keeps the complex work. The agent takes the volume.

Book a 20-min scoping call Call 0425 531 127

AU-wide Perth-based · servicing Australia
18+ yrs Building business software
Enterprise Grade security
Fixed Price scopes, no surprises

Australian owned and operated

Built here. Your data stays here.

No offshore development. Everything is written by our own team in Australia. Nothing is subcontracted overseas.
Your data stays onshore. Hosted in Australia, on infrastructure you own, under Australian law.
Every state, not just ours. Perth, Melbourne, Sydney, Brisbane, Adelaide and everywhere between.

Where agents work

An agent that works inside the software you already run

A chatbot answers questions. An agent does the job: it reads the document, decides what it means, writes the result into your accounting or job management system, and asks a person when it is not sure. The software below is where that work lands.

The agent

Reads the document, email or form
Decides using your rules, not a guess
Writes the result into the system of record
Escalates to a person when confidence is low

MYOB
Codes and posts supplier bills, matches payments, keeps the ledger current without anyone rekeying.
Xero
Reads invoices and receipts, applies your chart of accounts, flags only what genuinely needs a human.
QuickBooks
Captures bills and expenses, reconciles against bank feeds, chases the ones that do not match.
Simpro
Turns site notes and emails into jobs, quotes and purchase orders against the right cost centre.
ServiceM8
Books jobs from enquiries, drafts the quote, updates the customer without your office typing it.
Your CRM and inbox
Reads enquiries in Salesforce, HubSpot or a shared mailbox, qualifies them and routes them to the right person.

If the software you run is not listed, it is almost certainly still workable. Anything with an API can be read from and written to, and we have built against plenty that barely have one.

How it is built

It runs on your own ground, against your own documents

Most AI tools work by sending your information to somebody else’s service and hoping the answer comes back right. We build the other way around: retrieval runs against your own documents, on infrastructure you control, and the agent can only answer from what it was actually given.

Your documents are indexed where they already sit

Contracts, procedures, price lists, past jobs, email history. Indexed in your environment, not uploaded to a third party service to be reused for something else.
The agent retrieves before it answers

Every response is built from the documents it just pulled, which is what retrieval-augmented generation means in practice. If the answer is not in your material, it says so instead of inventing one.
Every answer can be traced back

You can see which document a decision came from. That is the difference between a tool your accountant will accept and one nobody trusts by the second month.
Nothing trains a public model

Your data is not used to improve anyone else’s system. The index is yours, the prompts are yours, and both are handed over with the source code.

The agent handles

The volume: the hundreds of routine items a week
The lookups nobody enjoys doing
Drafting the reply, the quote, the coding
Anything it can support from your own documents

A person handles

The exceptions the agent flags
Anything above the value you set
The judgement calls and the relationships
Final approval, where you want one

The agent is one part. The workflow is the whole thing.

An agent on its own still leaves gaps: the customer chasing an update, the supplier emailing a PDF, the report nobody agrees with. Joining those into one end to end workflow is a separate piece of work, and usually the one that pays for itself first.

See workflow automation

What We Build

Pick the job you want an agent to take on

Six agent types cover most Australian business needs: sales, customer service, admin, accounts, operations and internal knowledge. Real projects usually combine two or three. Pick a tab to see how yours would work.

Sales Agents

Responds to website enquiries and incoming leads the moment they arrive. Asks qualifying questions, collects budget and timeline, checks your CRM for existing records, and books discovery calls. Creates the lead in HubSpot, Salesforce, or Pipedrive with all the details already captured.

Your sales team picks up warm, qualified leads instead of raw enquiries. No more leads sitting in a queue for hours. The agent handles the first response and the qualification. Your people handle the relationship.

Sales & service agents

Customer Service Agents

Answers common support questions, checks order or booking status, processes returns, and updates account details. Connected to your CRM and business systems so it gives real answers, not generic ones.

Complex issues get escalated to your team with the full conversation history and any data the agent already collected. The customer does not have to repeat anything.

Customer support agents

Admin Agents

Reads incoming emails, extracts key details, updates your records, and sends reminders. When a document is missing or a form is incomplete, the agent follows up automatically.

Think of the admin work that eats up your team's mornings. Opening emails, copying details into your system, chasing people for missing information, sending confirmations. The agent handles the pattern. Your team handles the exceptions.

Internal AI assistants

Accounts Agents

Reads invoices and payment emails, extracts the data, checks for missing fields, and pushes the details into Xero or MYOB. Purchase orders get matched. Account codes get applied. Exceptions get flagged for human review.

No more staff re-typing invoice details from PDFs into your accounting system. The agent handles the reading, the matching, and the data entry. Humans handle the approvals and the exceptions.

Operations & data agents

Operations Agents

Monitors jobs, tasks, and workflows. Updates staff when something changes. Follows your business rules to route work, trigger alerts, and flag delays.

A job request comes in by email. The agent reads it, extracts the details, checks the calendar, creates the job in ServiceM8 or SimPRO, assigns a team member, and sends a confirmation. What used to take 15 minutes takes 30 seconds.

Operations agents

Internal Knowledge Agents

Answers staff questions from your company documents using agentic RAG. Finds policies, procedures, job notes, technical instructions, and any internal information your team needs. Gives sourced answers so people can verify.

This is not a search engine. The agent understands context, follows conversation threads, and knows what document to cite. It cuts the time staff spend hunting for information from minutes to seconds.

Internal AI assistants

Pricing

How we quote an agent, with no hourly billing

No hourly billing. No vague estimates. Here is how business ai agent development gets scoped, from a free 15-minute call to a fixed-price quote.

Free 15-minute call

Tell us what problem you are trying to solve. We will give you an honest answer on whether AI is the right fit and what it would involve.

Fixed-price quote

After discovery, you get a fixed price for the project. No hourly billing that spirals. You know exactly what it costs before we build.

Staged delivery

PoC first, then production build in phases. You see real value early, give feedback, and pay in milestones.

Why HELLO PEOPLE

ChatGPT, Zapier, a new hire,
or an agent built for you

ChatGPT Enterprise, no-code AI tools and an in-house AI team all solve pieces of the problem. Here is how HELLO PEOPLE compares on the things that actually matter to an AU SMB.

Concern	HELLO PEOPLE	ChatGPT / Off-shelf	No-code AI (Zapier)	In-house AI hire
Fit to your business workflow	Agent scoped to your real ops	Generic assistant, no tool use	Fine for trivial tasks only	Depends on who you hire
AI agent live in 6-10 weeks + tool use	Live agent with real system access	Chat only, no actioning	You wire every tool call	Months of hiring, then build
AU privacy + data sovereignty fit	AU-region hosting + PII controls	US-hosted, opaque data flows	US-hosted by default	You brief the hire on privacy
Ongoing cost	One-off + optional support plan	Per seat/token, per month	Per-run + prompt engineering	Salary + super + overhead
When models or APIs change	We swap models, keep it running	You wait for vendor updates	You rebuild the prompt chain	Your team owns the rebuild
Direct access to the builder	Email Kasun, get Kasun	OpenAI support tier	Community forum	Internal AI team
Agent code + retrieval data ownership	You own the code and the vector store	Vendor holds prompts + logs	You own the flow (self-hosted)	Your team owns it

Case Study

Enterprise knowledge search that cut research time by 85%

We built an enterprise knowledge management system powered by RAG. Unified search across 50,000+ documents delivers answers in seconds instead of hours.

Read the full case study

50,000+ Documents indexed

85% Faster knowledge retrieval

< 8s Average answer time

Our after-hours enquiries used to go to voicemail. Now our AI agent handles 70% of them end-to-end. Booking jobs, answering questions, sending confirmations. We wake up to a schedule that is already full.

Operations Manager Perth home services · 18-person team

Key Benefits

What changes when an agent picks up the busywork

Less repetitive work, instant responses, nothing missed, connected to your systems, and smart escalation to humans. Here is what an AI agent delivers day to day, not what a demo video promises.

Your team stops doing work the agent can do

Your staff are spending hours on tasks that follow a pattern. Answering the same questions, looking up order status, entering data from emails into your CRM, chasing missing documents. An AI agent handles these jobs so your team can focus on work that actually needs a human.

This is not about replacing people. It is about stopping your best people from doing data entry and basic admin all day. The agent handles the volume. Your team handles the exceptions and the relationships.

One client had three staff processing enquiries full-time. The agent now handles 80% of those automatically. Same team, four times the capacity.

No queues, no wait times, no Monday morning backlog

Enquiries come in at midnight, on weekends, over public holidays. Your AI agent handles every one the moment it arrives. It responds in seconds, gathers the information it needs, and takes action.

Speed matters as much as accuracy. The customer who gets a response in 30 seconds is far more likely to convert than the one who waits until Monday morning. An AI agent never clocks off.

If the agent hits something it cannot handle, it escalates to your team with full context. No customer has to repeat themselves.

Follows up without being told

Dropped leads, forgotten follow-ups, missing documents that nobody chased. These are the things that cost small businesses real money. An AI agent does not forget.

The agent tracks what is outstanding, sends reminders, follows up missing information, and alerts your team when something needs attention. It does not wait for someone to remember.

This is where agents are different from automation. Automation runs when triggered. An agent monitors, checks, and acts when something needs doing. It is proactive.

Connected to the tools your team already uses

Your AI agent connects to your CRM, Xero, MYOB, ServiceM8, email, calendars, SharePoint, booking systems, helpdesk tools, and custom databases. When it needs to check a customer balance, it queries your accounting system. When it needs to update a record, it writes to your CRM.

This is not a standalone tool. The agent works inside your existing workflow, pulling data from the systems you already have. No manual copying between platforms.

We handle the integration work. You tell us what the agent should do. We connect it to whatever it needs.

Knows when to stop and get a person

No agent handles everything. The best ones know exactly when to stop and get a human. Our agents are built with clear escalation paths. When the request is complex, sensitive, or outside the agent's scope, it hands off cleanly.

The human gets the full conversation history, any data the agent retrieved, and a summary of what was tried. No customer repeats themselves. No context is lost.

You set the rules. Define which topics always go to a human. Set confidence thresholds. Add override options for customers who prefer human contact.

How We Build It

From defining the job to a live agent

Every project is different, but the four-step structure stays the same. Define the job, connect the systems, train and test, then deploy with full monitoring. You know exactly what to expect at each stage.

Define the Agent's Job
We map out exactly what the agent should do. Which tasks, which systems, which decisions, which escalation paths. You define the business rules; we translate them into agent behaviour.
Connect Your Systems
We integrate the agent with your CRM, accounting, job management, email, and other tools. The agent needs access to real data to do real work.
Train & Test
We test the agent against real scenarios from your business. Common enquiries, edge cases, escalation situations. You review the outputs and we refine until accuracy meets your standards.
Deploy & Monitor
The agent goes live with full logging, conversation tracking, and performance monitoring. We track accuracy, resolution rate, and escalation patterns, then iterate to improve.

FAQs

What owners ask before handing work to an agent

What do ai agent development services australia actually deliver?

A working software agent built for your business. It reads a request, checks your CRM or accounting system, makes a decision based on your rules, and takes action. Real examples: qualifying leads and writing them into HubSpot, extracting invoice data into Xero, booking jobs in ServiceM8, chasing missing documents. You get the agent itself, all integrations, prompts, logs and source code.

How is business ai agent development different from a chatbot or Zapier automation?

A chatbot answers questions from a script. Zapier follows fixed if-this-then-that rules. An AI agent understands intent, picks a plan, uses tools to check your systems, and acts. Most real business ai agent development projects combine all three: the agent for the thinking, Zapier or n8n for the plumbing, and API integrations for the data.

How much do custom ai agent services cost in Australia?

Depends on scope. A single-task agent with one or two integrations sits at the lower end. A multi-task operations agent with Xero, HubSpot and ServiceM8 hooked in costs more. We always start with a proof of concept so you see it working before committing to the full build. Fixed price after discovery, no hourly billing.

How long do ai agent implementation services take?

A proof of concept runs 3 to 5 weeks. Full production build with integrations, testing and deployment runs 6 to 12 weeks depending on complexity. We deliver in phases so you see working results by week 4, not week 12.

Is it safe to let autonomous ai agents australia access our business systems?

Yes, when built properly. Each agent gets scoped credentials to only the systems and data it needs. Every action is logged and auditable. Human approval steps sit on sensitive operations like payments or refunds. Data stays in your environment, hosted in Australian data centres if you require it.

What happens when the agent cannot handle something?

It escalates to a human on your team with full context. The person sees the conversation history, any data the agent retrieved, and what was tried. Customers do not repeat themselves. You set the escalation rules: which topics always go to a human, confidence thresholds, and customer opt-out for human contact.

Which systems do enterprise ai agent development projects connect to?

Any system with an API. Common ones: HubSpot, Salesforce, Pipedrive for CRM. Xero and MYOB for accounting. ServiceM8, SimPRO, Tradify for job management. SharePoint, Google Drive, Confluence for documents. Plus email, calendars, booking tools, helpdesk, SMS, WhatsApp, and custom databases. If a system has no API, we can often work with direct database or file-based connections.

Which AI models do you use under the hood?

We pick per project. OpenAI GPT-4 and GPT-5 for general reasoning, Anthropic Claude for careful long-context work, open-source models on your own infrastructure when privacy is critical. The choice comes down to your data sensitivity, budget, and the task the agent is doing.

Your documents are indexed where they already sit

The agent retrieves before it answers

Every answer can be traced back

Nothing trains a public model

The agent is one part. The workflow is the whole thing.

Sales Agents

Customer Service Agents

Admin Agents

Accounts Agents

Operations Agents

Internal Knowledge Agents

How we quote an agent, with no hourly billing

Free 15-minute call

Fixed-price quote

Staged delivery

Enterprise knowledge search that cut research time by 85%

Your team stops doing work the agent can do

No queues, no wait times, no Monday morning backlog

Follows up without being told

Connected to the tools your team already uses

Knows when to stop and get a person

From defining the job to a live agent

Define the Agent's Job

Connect Your Systems

Train & Test

Deploy & Monitor

What owners ask before handing work to an agent

Pair your agent with these

RAG & Knowledge Systems

Conversational AI: Chat & Voice

AI Automation & Workflows

Read this before you build an agent

AI Agent vs Workflow Automation

Why AI Projects Fail

AI Task Routing

Tell us the job you want an agent to do