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(03) 9000 1234Customers expect quick, helpful answers at any hour, and your team needs fast access to the information buried in policies, manuals and past jobs.
Our Melbourne team builds custom AI agents and chatbots that answer questions accurately from your own content, take useful actions in your systems and hand over to a real person when they should. Every agent is designed with guardrails, testing and privacy in mind from day one.
4.9/5 from 180+ Google reviews
What We Offer
From a focused website chat assistant to an agent that works across several of your business systems, we scope each build around a clear job to be done. Everything is designed, built and tested in-house by our local Australian team.
An AI support agent can answer common questions about orders, services, policies and opening hours around the clock, using your approved content rather than guesswork.
It can check order status, log support tickets and collect the details your team needs. When a question is complex, sensitive or the customer simply wants a person, it hands over smoothly with the full conversation attached.
A website chat agent can greet visitors, answer pre-sale questions, recommend the right service or product and capture qualified leads straight into your CRM.
Unlike rigid button-based chatbots, it understands natural questions and responds conversationally. We train it on your offering, tone and qualifying criteria, so it supports your sales process instead of frustrating potential customers.
Missed calls are missed opportunities, especially for busy trades, clinics and service businesses.
An AI receptionist can answer calls, respond to common questions, take messages, book appointments and transfer urgent callers to the right person. We design natural-sounding conversations with Australian accents in mind, clear disclosure that callers are speaking with AI and an easy route to a human.
Your team shouldn’t have to dig through shared drives to find a policy, procedure or product spec.
We build internal assistants using retrieval-augmented generation (RAG), so answers are drawn from your own documents and include references to the source. Access controls ensure staff only see information they’re permitted to, and content stays up to date as documents change.
The most useful agents don’t just talk, they get things done.
Using tool use and API integrations, agents can check availability, create bookings, update CRM records, raise invoices or look up job details. We carefully limit what each agent is allowed to do, require confirmation for important actions and log every step so you can see exactly what happened.
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to business tools and data.
We build MCP servers that give Claude and other compatible assistants secure, controlled access to your systems, such as your CRM, inventory or project management software, so your team can work with that information directly from their AI tools.
Reviews
Sarah Mitchell
Owner, Harbourline Physio
“The team took the time to understand our patients and built a site that books appointments while we sleep. Online bookings have more than tripled.”
Daniel Nguyen
Director, Ironbark Plumbing
“We went from relying on referrals to getting consistent leads every single week. Clear reporting, no jargon and always quick to respond.”
Priya Sharma
Founder, Saltbush & Co.
“Our new Shopify store is faster, prettier and converts far better. The email flows they set up are now a huge part of our revenue.”
James O’Connor
Partner, Meridian Legal
“Professional from start to finish. Our brand finally reflects the quality of our work, and the enquiries we get now are far better qualified.”
Emma Clarke
Manager, Coastal Stays
“Direct bookings are up and we are paying far less in commissions. They genuinely care about our results.”
Why Choose Us
Building a demo chatbot is easy. Building an agent you can confidently put in front of customers takes careful design, testing and ongoing attention. That’s the part we focus on.
We define exactly what each agent should and shouldn’t discuss, which actions it can take and when it must hand over to a person. Clear boundaries reduce the risk of off-topic, inaccurate or inappropriate responses reaching your customers.
Every agent is evaluated against a set of real-world questions and tricky scenarios drawn from your business. We measure accuracy, tone and safe behaviour, fix weak spots and re-test, so you know how it performs before customers ever see it.
AI shouldn’t trap customers in a loop. Our agents recognise when they’re out of their depth or when someone asks for a person, then pass the conversation to your team via email, live chat, your help desk or a phone transfer.
We minimise the personal information agents collect, choose providers with appropriate data-handling terms and consider your obligations under the Australian Privacy Act. Customers are told when they’re talking to AI, and sensitive topics can be routed straight to people.
Every agent is quoted per project after a free discovery call. Your proposal sets out what the agent will do, the systems it connects to, the timeline and estimated running costs, so there are no surprises later on.
We’ll tell you plainly what AI agents do well, where they struggle and when a simpler solution would serve you better. You’ll get realistic expectations, not a sales pitch promising a robot that replaces your whole team.
Melbourne-based team
Australia-wide service
Our Approach
Most people have had a bad experience with a chatbot.
It misunderstands the question, offers irrelevant links and makes it nearly impossible to reach a real person. Many Australian businesses we speak with are understandably wary of putting something like that in front of their customers, even though they know they’re missing enquiries after hours and spending too long answering the same questions.
We started building AI agents because modern language models can do so much better, but only when they’re designed with care. Our process begins by understanding the conversations your customers and staff actually have, the information they need and the actions that would genuinely help. That shapes the agent’s knowledge, personality, boundaries and the systems it can access.
We ground every agent in your own approved content, so answers reflect your policies and services rather than generic internet knowledge. We add guardrails to keep it on topic, test it against a wide range of realistic scenarios and make sure it knows when to step aside and bring in a person. AI can still make mistakes, which is why oversight is built into the design.
After launch, we review conversations, track where the agent succeeds and where it struggles, and keep improving its knowledge and behaviour. The result is an agent that handles routine questions reliably and gives your people more time for the conversations that need a human touch.
How We Do It
There’s no single platform that suits every agent. We combine leading AI models with proven frameworks and your existing systems, choosing the stack that best balances accuracy, speed, cost and data control for your use case.
We build with models from Anthropic and OpenAI, selecting the right one for the task. Some agents need deep reasoning and careful instruction-following, others need fast, low-cost responses. We test options against your scenarios rather than relying on benchmarks alone.
RAG lets agents search your documents, FAQs and knowledge base before answering, so responses are grounded in your information and can cite their sources. It also makes updates simple, because changing a document updates what the agent knows without retraining.
Agents connect to your booking system, CRM, help desk and other software through secure APIs, MCP servers or automation platforms like n8n. Each tool has tightly defined permissions, and important actions can require customer or staff confirmation first.
We create evaluation sets of real questions and edge cases to measure accuracy and safety before launch and after every significant change. Conversation logging and dashboards help us spot problems early and keep improving performance over time.
We protect API keys, restrict data access by role, defend against prompt injection and avoid storing unnecessary personal information. Where needed, we can host components in Australian cloud regions to give you more control over where data is processed.
Tools & platforms we use
Benefits
Your agent answers questions, captures enquiries and books appointments at night, on weekends and during public holidays, when your team is offline.
Customers get immediate, helpful answers instead of waiting in a queue or for a reply email, which can make the difference between winning and losing a sale.
Sales agents ask the right qualifying questions and pass complete, well-organised enquiries to your CRM, so your team can focus on the best opportunities.
An AI receptionist answers when you can’t, takes messages and books jobs, so busy periods don’t mean lost customers.
Staff find policies, procedures and product details in seconds by asking a question, rather than searching through folders or interrupting colleagues.
Routine, repetitive questions are handled automatically, freeing your people for complex conversations, problem-solving and relationship building.
Agents respond using your approved information and tone of voice every time, reducing mixed messages across channels and team members.
Conversation data reveals the questions customers ask most, the objections they raise and the gaps in your website content or service.
Whether ten customers or a few hundred reach out at once, the agent handles the volume without long queues or extra staff for peak periods.
Every engagement is tailored to your goals, but these essentials come as standard.
Get A Project QuoteHow We Work
No jargon, no surprises. Here’s exactly how we take you from first call to measurable growth.
We start with a free call to understand your customers, team, systems and goals, and identify where an AI agent could genuinely help.
We define the agent’s purpose, knowledge sources, tone, boundaries, actions and handoff rules, then document example conversations for your approval.
You receive a written proposal with scope, integrations, timeline, a project quote and estimated running costs before any development begins.
We prepare your knowledge base, build the agent, connect your systems and add guardrails, logging and human handoff pathways.
We test against realistic scenarios and edge cases, refine with your feedback, then launch, often starting with a limited rollout.
We review conversations, track accuracy and handoff rates, update knowledge as your business changes and keep improving the agent over time.
FAQ
Costs vary widely depending on what the agent needs to do. A website assistant answering questions from your FAQs is a much smaller project than a voice receptionist that books appointments across several staff calendars or an internal assistant connected to multiple systems. We quote every project individually after a free discovery call. Your proposal will include the build cost, timeline and an estimate of ongoing AI, hosting and platform usage costs so you can plan with confidence.
Traditional chatbots usually follow fixed scripts and buttons, so they struggle when someone asks a question in an unexpected way. AI agents use large language models to understand natural language, draw on your knowledge base for answers and, where permitted, take actions like booking appointments or updating records. That makes them far more flexible and helpful. They still need clear boundaries, testing and oversight, which is a core part of how we build them.
No AI system is perfect, and it’s important to be honest about that. We significantly reduce the risk by grounding answers in your approved content with retrieval-augmented generation, instructing the agent to say when it doesn’t know, restricting it to relevant topics and testing it extensively before launch. Sensitive or high-stakes questions can be routed directly to a person. After launch we monitor conversations and correct issues as they come up.
Yes, and we consider this essential. We design clear handoff rules, such as when a customer asks for a person, raises a complaint, discusses something sensitive or asks a question the agent can’t answer confidently. The conversation can be passed to your team by email, live chat, your help desk or a phone transfer, with a summary attached so customers don’t have to repeat themselves. Outside business hours, the agent can capture details for a follow-up.
Privacy is considered throughout the design. We limit the personal information an agent collects, avoid sending unnecessary data to AI providers, select services with suitable data-handling terms and can host components in Australian regions where needed. We also recommend clear disclosure that customers are speaking with AI and updating your privacy policy to reflect how data is used. We’re not lawyers, so for specific compliance questions we suggest getting professional legal advice.
Retrieval-augmented generation, or RAG, is a technique where the agent searches your own documents, website content and knowledge base for relevant information before writing an answer. Instead of relying only on what the AI model learned during training, it responds using your current policies, prices and procedures. This improves accuracy, allows answers to reference their sources and makes the agent easier to keep up to date, because updating a document updates what it knows.
Yes. Using tool use and API integrations, agents can check availability, create bookings, look up orders, add leads to your CRM, raise support tickets and more. We give each agent only the permissions it needs, require confirmation before important or irreversible actions and log everything it does. We can also build MCP servers so tools like Claude can securely access your business systems for internal use by your team.
A focused website or support agent drawing on existing content can often be designed, built and tested within three to six weeks. Voice agents, agents connected to several systems and internal assistants with large or complex knowledge bases typically take longer, sometimes eight to twelve weeks. Timing depends on how organised your content is, system access and feedback turnaround. We agree a realistic timeline in your proposal and keep you updated throughout.
Modern voice technology has improved dramatically, and well-designed voice agents can sound natural, respond quickly and handle interruptions reasonably well. That said, they are not flawless, particularly with poor phone lines, strong background noise or very complex requests. We tune the voice, pacing and scripts for Australian callers, clearly disclose that it’s an AI assistant and make sure callers can easily reach a person when they need to.
Not necessarily, but the two often work well together. An agent handles conversations with customers or staff, while automation takes care of the background workflows, such as updating your CRM, sending follow-up emails or generating reports. Some businesses start with an agent, others with automation. During discovery we’ll recommend the approach that delivers the most value first, and our AI Automation service can extend the agent’s impact behind the scenes.
Across Australia
Our Melbourne team works with businesses in every capital city. See how we approach it where you are.
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Book a free discovery call with our Melbourne team. We’ll talk through your goals, identify where an AI agent could help most and send you a clear, custom proposal covering scope, timeline, safeguards and expected running costs.
Contact
Tell us what you’re working on. We reply to every enquiry within one business day, with honest advice and no pressure.
Michael Reid & team · Melbourne VIC 3000 · Mon–Fri, 8:30am–5:30pm