How to set up an AI receptionist for your business in Australia

You have decided an AI receptionist could work for your business. Now comes the practical question: how do you actually set one up?

The answer depends on how much you want to build yourself, how much you want to pay someone else to build, and how much ongoing maintenance you are willing to take on. This guide walks through the three main paths — DIY, self-serve platforms, and fully managed services — with a concrete setup checklist that applies no matter which route you choose.

If you are still deciding whether an AI receptionist makes sense, start with AI phone agent vs answering service vs voicemail or Best AI receptionist services in Australia. If you want to understand cost first, see How much does a receptionist cost in Australia?.

TL;DR

• There are three paths to setting up an AI receptionist: build it yourself (DIY), use a self-serve platform, or hire a managed provider.
• DIY gives you full control but requires programming skills, multiple API subscriptions, and ongoing maintenance. It is realistic for developers and technically confident founders — not most SME owners.
• Self-serve platforms (e.g. TransferToAI, Johnni AI) provide a dashboard where you configure the call flows. Lower cost, but you own the setup and tuning.
• Managed services (e.g. Valory AI) handle discovery, build, deployment, and ongoing QA. You approve the rules; the provider runs operations.
• Regardless of path, the same seven setup steps apply: define call flows, choose a phone line, configure the AI voice, integrate business systems, write and test scripts, plan escalation, and check privacy compliance.
• The most common mistake is going live before testing the escalation path — what happens when the AI cannot answer.

The three paths

Path 1: Build it yourself (DIY)

A DIY AI receptionist means assembling the components yourself: telephony, speech recognition, language model, text-to-speech, business system integrations, and conversation scripting. This is the route for developers or technically confident founders who want full control and are comfortable maintaining software.

What the stack looks like:

A working DIY system typically requires:

1. A phone number or VoIP line — Twilio is the most common choice in Australia. You buy a local number and route inbound calls through their API. Alternatives include Vonage, SignalWire, or an existing SIP trunk from your telco.
2. Speech-to-text (STT) — converts the caller's voice into text so the language model can interpret it. Options include Deepgram, Google Cloud Speech-to-Text, and AssemblyAI. Latency matters here — slow transcription means awkward pauses.
3. A language model (LLM) — the "brain" that interprets what the caller said and decides how to respond. GPT-4o or Claude are the most common. You write a system prompt that defines the receptionist's behaviour, knowledge, and guardrails.
4. Text-to-speech (TTS) — converts the model's text response back into spoken audio. ElevenLabs is popular for natural-sounding voices with Australian accent options. Google Cloud TTS and Amazon Polly are lower-cost alternatives with less natural output.
5. An orchestration layer — something to tie these together in real time. Vapi and LiveKit are open-source-friendly orchestration platforms purpose-built for voice AI pipelines.
6. Business system integrations — calendar (Google Calendar, Outlook, Acuity), CRM, SMS (Twilio or a local provider), and booking tools.

A real-world example:

CodeWithMuh's open-source AI receptionist project demonstrates this approach: it uses Vapi for the voice pipeline, Claude as the LLM, Google Calendar for scheduling, and Twilio for telephony. The project shows that a working prototype is achievable — but it also illustrates the complexity. You need to manage API keys across multiple providers, handle edge cases in real-time audio, tune the prompt for your specific business rules, and deal with latency optimisation, error handling, and cost monitoring.

Pros:

• Full control over every component and behaviour.
• No vendor lock-in — you own the code and can swap any layer.
• Potentially lower per-call cost once built (you pay API usage, not a subscription margin).
• Deep customisation for unusual call flows or integrations.

Cons:

• Requires programming skill (Python or JavaScript at minimum) and familiarity with API integration.
• Multiple vendor relationships — Twilio, ElevenLabs, OpenAI or Anthropic, a hosting provider — each with separate billing, rate limits, and support channels.
• No SLA. If the voice pipeline breaks at 2am, you are the on-call engineer.
• Ongoing maintenance: LLM APIs change, voice models get updated, telephony providers adjust pricing. You absorb all of this.
• Time to first live call is typically weeks, not days.

Best for: Developers, technical founders, or businesses with in-house engineering that want to own the platform layer and have time to invest in building and maintaining it.

Path 2: Self-serve platforms

Self-serve platforms give you a dashboard to configure your AI receptionist without writing code. You set up call flows, write prompts, choose a voice, and connect your phone number — typically through a guided setup wizard.

How they work:

You sign up, connect a phone number (or port an existing one), and use the platform's interface to define how calls should be handled: greeting, call routing, FAQ responses, booking logic, and escalation rules. The platform handles the underlying voice pipeline (STT, LLM, TTS) so you do not need to manage individual API subscriptions.

Examples in the Australian market:

• TransferToAI — from approximately $99/mo with no setup fee. 14-day free trial. Simple onboarding aimed at tradies and service businesses with straightforward call patterns.
• Johnni AI — approximately $300–$600/mo. Purpose-built for trades and home services. Direct integration with ServiceM8 and Simpro.

Pros:

• No coding required — dashboard-based setup.
• Lower cost than managed services (you are paying for software, not consulting).
• Faster to launch than a DIY build — typically live within a day or two.
• Platform handles infrastructure, uptime, and voice pipeline maintenance.

Cons:

• You own the configuration. If the call flow is wrong, the AI gives wrong answers until you fix it.
• Limited support for complex scenarios — multi-step booking rules, clinical intake, conditional escalation.
• Guardrails are your responsibility. If the prompt allows the AI to quote prices incorrectly, the platform will not catch it.
• Voice and LLM options may be limited to what the platform supports.
• Integration depth varies. Some platforms have shallow CRM or calendar connections that create manual follow-up work.

Best for: Technically comfortable business owners who want control and lower cost, and whose call patterns are relatively straightforward (e.g. FAQs, simple bookings, message-taking).

Path 3: Fully managed service

A managed service provider handles the entire implementation: discovery, call flow design, voice configuration, integration, testing, deployment, and ongoing tuning. You provide the business rules and approval; the provider does the rest.

How it works:

1. The provider runs a discovery process to map your call types, business rules, escalation logic, and integrations.
2. They design and build the call flows, write the prompts, configure the voice, and connect your systems.
3. You review test calls and approve the behaviour before going live.
4. After launch, the provider monitors call quality, reviews edge cases, and tunes the system over time.

Valory's approach:

We design, build, deploy, and tune your call handling. You approve the rules; we run the operations. That means dedicated onboarding, Australian-accented voices, calendar and CRM integration, escalation logic with human fallback, and ongoing call review with prompt tuning. We do not give you a tool and leave you to configure it. We work with your team to embed the AI into your actual workflows — and we stay involved after launch to make sure it keeps working well.

Pros:

• No technical burden — the provider does the building and maintenance.
• Faster to a quality outcome — experienced providers avoid common setup mistakes.
• Ongoing optimisation — the provider reviews calls and adjusts without you needing to manage it.
• Guardrails, escalation, and compliance handled by people who do this regularly.
• SLA and dedicated support.

Cons:

• Higher monthly cost than self-serve (you are paying for expertise and ongoing operations, not just software).
• Less direct control over prompt wording and configuration details — though a good provider gives you visibility and approval.
• You depend on the provider's quality and responsiveness.

Best for: Busy business owners who want reliable call coverage without adding a technical project to their plate. Especially relevant for clinics, professional services, and any industry where call handling rules are complex or regulated.

Step-by-step setup checklist

These seven steps apply regardless of whether you go DIY, self-serve, or managed. The difference is who does each step.

1. Define your call flows

Before touching any technology, map out the calls you actually receive. List the top 8–10 reasons people call your business and decide what should happen for each:

• Booking enquiry → check availability, book or capture details.
• Pricing question → provide a range or direct to a quote process.
• Location / hours → answer directly.
• Existing customer follow-up → capture details, route to staff.
• Urgent or sensitive → escalate to a human immediately.
• Wrong number or irrelevant → handle gracefully and end.

If you skip this step, every other step will be guesswork.

2. Choose your phone line

You need to route inbound calls to your AI system. The main options:

• Call forwarding from your existing number — the simplest approach. Use conditional forwarding (e.g. forward on no answer, forward on busy) to route calls to the AI line when your team cannot pick up. See our call forwarding codes for Telstra, Optus, and Vodafone for step-by-step instructions.
• A new VoIP number — buy a local Australian number through Twilio, Vonage, or your AI platform's telephony partner. Route your main number to it.
• SIP trunking — if you have an existing PBX (phone system), connect the AI as an extension or overflow destination.

For most Australian SMEs, conditional call forwarding from your existing business number is the fastest, lowest-risk starting point.

3. Configure the AI voice

Choose the voice your callers will hear:

• Accent — an Australian accent matters. Callers notice immediately if the voice sounds American or robotic. Most Australian-built platforms and managed services offer local accent options.
• Speed and tone — match your business. A clinic receptionist should be calm and clear. A trades business can be more casual and direct.
• Latency — the gap between the caller finishing a sentence and the AI responding. Under 1 second feels natural. Over 2 seconds feels broken. If you are building DIY, this is where most time goes.

If you are using a self-serve platform, voice selection is typically a dropdown. If DIY, you will configure ElevenLabs, Google, or Amazon TTS directly.

4. Integrate business systems

An AI receptionist that cannot check your calendar or send an SMS confirmation is just a fancy voicemail. Connect:

• Calendar — Google Calendar, Outlook, Acuity, Cliniko, or whatever your team uses. The AI needs to check real availability and create bookings.
• CRM — capture leads directly into your CRM rather than relying on staff to transcribe messages.
• SMS — send booking confirmations and follow-up links automatically.
• Booking tools — if you use a scheduling platform (ServiceM8, Simpro, Fresha, etc.), connect it so bookings flow through without manual re-entry.

The depth of integration varies enormously between providers. Ask specifically: does the AI check live availability, or does it just capture a preferred time and hope?

5. Write and test scripts

The AI's behaviour is defined by its prompts and call scripts. This is where most setups succeed or fail.

• System prompt — defines the receptionist's personality, knowledge boundaries, and rules. Be explicit about what it should and should not say. Example: "You are a receptionist for a dental practice in Brisbane. You can answer questions about services, hours, and location. You cannot give clinical advice. If a caller describes a dental emergency, capture their details and advise them to call 000 or go to the nearest emergency department."
• FAQ coverage — feed in your most common questions and approved answers. Hours, pricing, location, parking, what to bring to a first appointment.
• Guardrails — define what the AI must never do. Never quote an exact price without approval. Never give medical, legal, or financial advice. Never confirm something it is not sure about.
• Test extensively — call the AI yourself. Get staff to call it. Throw edge cases at it: vague questions, angry callers, multiple requests in one call, strong accents, background noise. Do not go live until the common scenarios work reliably.

6. Plan escalation

This is the most overlooked step, especially in DIY and self-serve setups. What happens when the AI cannot answer?

• Live transfer — route the call to a human in real time. Works during business hours.
• Voicemail capture — take a detailed message and notify staff via SMS or email.
• SMS follow-up — send the caller a link or a confirmation that someone will call back.
• Urgent escalation — if the caller describes an emergency, the AI should not try to handle it. Capture details and provide the appropriate emergency number.

A good escalation path is the difference between a caller who trusts your business and one who hangs up frustrated. Test your escalation path as thoroughly as you test the happy path.

7. Privacy and compliance

Australian law requires you to inform callers when their call is being recorded. The Australian Privacy Act 1988 and state-specific listening devices legislation are the relevant frameworks.

Practical requirements:

• Disclosure — the AI should state at the start of the call that the call may be recorded for quality and compliance purposes. A simple line at the beginning of the greeting is standard.
• Data storage — where are call recordings and transcripts stored? If your provider stores data overseas, understand the privacy implications.
• Retention — how long are recordings kept? Define a retention policy.
• Access — who can listen to recordings? Limit access to authorised staff.

For detailed guidance, see AI phone agents in Australia: privacy and call recording.

Comparing the three paths

Common pitfalls

Going live without testing escalation

The happy path is easy to test. The AI answers a booking question, checks the calendar, confirms the appointment. But what happens when the caller asks something unexpected? When they are upset? When the AI does not understand the question? If you have not tested these scenarios, your callers will test them for you.

Choosing a provider based on price alone

The cheapest option is often a reseller that licenses a voice API, wraps a minimal interface around it, and provides no customisation, no guardrails, and no support. The AI might sound fine on a demo call — but fall apart on real calls with background noise, accents, or multi-part questions. Ask for real call recordings, not just a demo script.

Skipping the call flow mapping

Technology cannot fix a call flow that does not exist. If your team has never documented why people call and what should happen for each type, the AI will not know either. Spend an hour mapping your call types before spending a dollar on tools.

Ignoring the voice

Callers form an impression in the first two seconds. A robotic voice, an American accent on an Australian business line, or a voice that sounds nothing like your brand will undermine trust before the AI gets a chance to be helpful. Listen to the voice yourself and ask: would I trust this on my business line?

Treating setup as a one-time event

An AI receptionist needs ongoing tuning. New services, changed hours, seasonal pricing, staff changes, new FAQ patterns — all of these need to be reflected in the system. Self-serve platforms require you to do this. Managed services handle it for you.

Why Valory approaches it differently

Most AI receptionist providers give you a platform and leave you to configure it. That works for some businesses — but not for the clinic owner who is already working 50-hour weeks, the trades operator who spends all day on site, or the accounting firm managing tax season call volume.

Valory takes a managed approach because setup quality determines outcome quality. We run a structured discovery process, design call flows based on your actual business rules, build and test the system ourselves, and stay involved after launch to review calls and tune the behaviour. You approve the rules; we run the operations.

That means your AI receptionist is not just technically live — it is actually working the way your callers need it to.

For a structured way to evaluate any provider (including us), use our AI receptionist vendor checklist.

Related guides

• Best AI receptionist services in Australia (2026 comparison) — compare seven providers side by side.
• How much does a receptionist cost in Australia? — in-house vs virtual vs AI cost breakdown.
• AI receptionist vendor checklist — 25 questions to ask any provider.
• Call forwarding Australia: Telstra, Optus & Vodafone codes — route your number to any AI receptionist.
• AI phone agents in Australia: privacy and call recording — compliance guidance.
• AI phone agent vs answering service vs voicemail — compare the three main categories.
• AI receptionist vs call forwarding — routing vs handling explained.
• After-hours call handling for Australian SMEs — the call flow behind any AI receptionist.
• Missed calls cost: estimate lost revenue fast — quantify the problem before choosing a solution.
• IVR phone menus vs AI receptionist — why businesses are switching.

FAQ

How long does it take to set up an AI receptionist?

It depends on the path. A self-serve platform can be live in a day or two if your call flows are simple. A managed service like Valory typically takes 3–5 business days including discovery, build, and testing. A DIY build can take weeks depending on your engineering capacity and the complexity of your integrations.

Do I need technical skills to set up an AI receptionist?

Not if you use a managed service — the provider handles the technical work. Self-serve platforms require some comfort with dashboards and configuration but no coding. A DIY build requires programming skills (Python or JavaScript), API integration experience, and familiarity with telephony and voice AI concepts.

Can I keep my existing business phone number?

Yes. The most common approach is conditional call forwarding from your existing number to the AI receptionist line. This means callers still dial your normal number and the call routes to the AI when your team does not answer or during after hours. You do not need to change your number or tell customers anything has changed.

What is the difference between a self-serve platform and a managed service?

A self-serve platform gives you a dashboard to configure the AI yourself — you write prompts, set up call flows, and connect integrations. A managed service does all of that for you: a team handles discovery, build, deployment, and ongoing tuning. The trade-off is cost (managed is more expensive) versus effort (self-serve requires your time and technical confidence).

What happens if the AI cannot answer a question?

A well-configured AI receptionist should never leave a caller hanging. It should capture the caller's details and reason for calling, then either transfer to a human (during business hours), take a message and notify staff, or send the caller an SMS with next steps. Always test this escalation path before going live.

Is it legal to use an AI to answer business calls in Australia?

Yes. There are no Australian laws prohibiting the use of AI to answer business calls. The main compliance requirements relate to call recording: you must inform callers that the call may be recorded (required in most Australian states), store data securely, and handle personal information in accordance with the Australian Privacy Act 1988.

Can I build an AI receptionist for free?

You can build a prototype using free tiers of various APIs (Twilio, OpenAI, Google TTS), but a production-quality system that handles real business calls will incur ongoing API costs ($50–$300+/month depending on volume), hosting costs, and your time for maintenance. There is no free option that provides reliable, production-grade call handling.

What is the biggest mistake businesses make when setting up an AI receptionist?

Going live without testing the escalation path. Most businesses test the happy scenarios (answering FAQs, booking appointments) but forget to test what happens when the AI encounters something unexpected. If the AI goes silent, gives a wrong answer, or fails to capture details when it cannot help, callers lose trust quickly.

Next step

Map your top 10 call types and decide whether you want to build, configure, or hand it off. If you want to see how a managed setup works in practice, book a walkthrough or start with our vendor checklist to ask the right questions.