For Australian businesses already running RingCentral

Adding an AI Receptionist to RingCentral

Your phones already work. RingCentral answers, routes and rings the right desk, and your team lives in the app all day. The gap is not the platform, it is the calls that arrive when nobody is free to take them: the enquiry at 5:31pm, the third caller in the queue on a Monday morning, the same question about opening hours for the ninth time today. Those calls drop to voicemail, and voicemail is where enquiries go to die. An AI receptionist sits behind your existing RingCentral setup and answers exactly those calls, takes the details, books what can be booked, and hands everything else back to a human with context.

Yes AI is an Australian consultancy. We work inside your existing answering rules, auto-receptionist and call queues rather than replacing them, write the summaries and bookings back into the systems you already run such as HubSpot, Salesforce, Microsoft 365 or Google Workspace, and we are straight with you about what a hosted phone platform will and will not let a third party do.

Book a Call Flow Review (03) 9003 0111

Realistic ROI

Hours/week

Phone time handed back

After hours calls, queue overflow and the same five repeated questions stop landing on a person first

Fewer missed calls

Voicemail stops being the fallback

The calls that used to hit the voicemail greeting get answered, qualified and captured instead

Every call logged

Who called and what they wanted

A written summary against the right contact record, not a mailbox nobody has opened since Tuesday

2 to 6 weeks

From scope to live

Most RingCentral rollouts go live inside that window once the number plan and transfer targets are agreed

Why Do This With Yes AI

RingCentral is a hosted platform. That is mostly good news, because there is no PBX in a cupboard to break, but it does mean the ways an AI receptionist can join a call are fixed and finite. You integrate at the number layer, through forwarding rules, auto-receptionist keys, queue overflow and a dedicated direct number, and at the data layer, through the platform APIs and the CRM you already run. Be wary of anyone who promises to drop their own software into the middle of a live RingCentral call, because a standard hosted account does not hand the call media to a third party. Four things make us the right people to do this properly.

We start inside your answering rules, not on a whiteboard

Before anyone mentions AI, we map what your line actually does today: the company business hours in the admin portal, the auto-receptionist tree and every key press on it, each call queue and its maximum wait, and the per-user answering rules that quietly override the company rule for a handful of staff. Almost every business finds a surprise here. A rule set during a staff change two years ago, a queue overflowing into a mailbox nobody owns, or a direct number printed on a van that skips the menu entirely. We fix that map first, because an AI bolted onto a broken call flow only fails faster.

We work with the platform, not against it

On a standard hosted account, RingCentral does not let a third party sit in the media path of a call the way a self-hosted PBX would. So we build where the platform genuinely opens up: forwarding an unanswered or after hours call to a number the AI owns, giving the AI its own direct number as a front door, putting the AI behind a key on the auto-receptionist, catching queue overflow, and using the documented APIs and event feeds for the data side. Every one of those is a supported path, which means it survives the next platform update instead of quietly breaking on a Sunday night.

Australian handling of Australian calls

Calls carry personal information, and often health, tenancy or financial detail, so we design to the Privacy Act and the Australian Privacy Principles from the first workshop. We are also clear that call recording in Australia sits under federal telecommunications law together with separate surveillance devices legislation in each state and territory, so what must be announced can depend on where the parties are. This page is general information rather than legal advice. We build whatever announcement and consent handling you decide on, we recommend you confirm the position with your own legal adviser, and we never promise you a compliance outcome that is not ours to give.

One team scopes it, builds it and supports it

The same people who sit through the discovery workshop write the call flow, configure the answering rules alongside your admin, test the transfers back into your queues from an outside line, and pick up the phone when something looks odd in week six. You are not handed between a strategist, an offshore build team who has never seen your auto-receptionist, and a ticket queue. When you add a site, change your hours or move a team onto a new queue, the people who built it are the people who extend it.

How the AI Actually Joins Your RingCentral Setup

Six integration patterns, all supported by the platform, all reversible in the admin portal in minutes. Most Australian businesses start with one of the first two, then add the rest once they trust what they are seeing in the call summaries.

Safety net

Overflow and after hours handoff

Your answering rules already know the difference between business hours, after hours and public holidays. We extend them so that instead of dropping to voicemail, an unanswered call forwards to the number the AI answers on. The same applies inside a call queue: when the maximum wait is reached, or no member is available, the overflow target becomes the AI rather than a mailbox. Nothing changes about how your team takes calls during the day. The AI only ever picks up the calls that were already going to be missed.

Own number

A dedicated number as the AI front door

Sometimes you want the AI first rather than last: a bookings line, a service line, or the number on your Google Business Profile and your vehicle signage. We provision a number the AI answers directly. Where you want it inside the existing experience, we point an auto-receptionist key at that number, so "press 2 for bookings" reaches the AI while every other key behaves exactly as it does now. Keeping the AI on its own number also gives you clean reporting, because you can see at a glance what volume it is genuinely carrying.

Warm handover

Transfers back to users, queues and voicemail

The AI is a front door, not a wall. When a caller needs a person, it transfers back into RingCentral by dialling the extension or the queue, and we can have it speak a short handover before connecting, so your staff member hears "Sarah in Bendigo, asking about her invoice" rather than an unexplained ring. Where nobody is free, it takes a proper message and drops it where you actually look, which is usually email or the CRM rather than a voicemail box. Transfer targets and their fallbacks are agreed during scoping and configured as ordinary answering rules, so your admin can see and change every one of them.

Familiar

What your staff see in the RingCentral app

This is the part people worry about, so it is worth being precise. Staff keep the same app, the same extension, the same presence and the same call log. A call handed back by the AI arrives as a normal inbound call, although the caller ID it presents may be the AI number rather than the original caller depending on how the leg is passed between carriers, which is exactly why the spoken handover matters. The AI number also appears in the call log as its own entry, so one conversation that touched both the AI and a person can show as two records. We set your reporting up knowing that, rather than letting Monday morning look busier than it was.

CRM updated

Data back into the systems you already run

The call is only half the value. We capture who called, the number they rang from, what they wanted in plain English, what the AI committed to, and any booking made, then write that against the right record in HubSpot, Salesforce, your job or practice management system, Microsoft 365 or Google Workspace. A new caller becomes a new contact with the enquiry attached. A known caller gets the note on their existing record. Bookings land in the real calendar with the right duration and the right person, rather than in a separate list somebody copies across in the morning.

One view

Reporting on what the line is actually doing

Once summaries exist as data rather than audio, you can finally answer the questions call analytics cannot: what proportion of calls are the same five questions, which site generates the most after hours demand, how many enquiries never reached a human before you started, and what happened to them. We build that view over your own call data and de-duplicate the two-leg records so the totals are honest. In our experience it usually changes what a business wants to automate next, which is why we build it early rather than as a nice extra at the end.

Six Australian RingCentral Scenarios and What Changes

Task	Traditional	With Yes AI and RingCentral	Notes
Trades business where after hours calls hit a mailbox nobody clears	The answering rule drops to the company mailbox at 5pm and messages are checked next morning, if at all	The after hours rule forwards to the AI, which qualifies the job, then books it or escalates it	Genuinely urgent work triggers a call back the same evening through your existing on-call rule. Everything else arrives as a written job with an address, a contact and a description, ready for the morning run sheet.
Clinic with a reception queue that overflows every weekday morning	Callers wait, hang up, and the queue report shows a wait time but never what they wanted	Queue overflow routes to the AI, which handles bookings, reschedules, directions and account questions	Reception keeps the calls that need judgement. Nothing clinical is answered by the AI, and anything that sounds urgent is transferred straight back to a person with the reason spoken first.
Multi-site business running one auto-receptionist tree with inconsistent hours	Every site sits behind the same menu, and one branch has the wrong public holiday hours every single year	A key on the tree reaches the AI, which knows each site's real hours and routes or books accordingly	Hours live in one place that we can update in minutes, instead of in three separate answering rules maintained by three different people who each think someone else owns it.
Property manager buried in maintenance calls	Every tenant call interrupts a portfolio manager who is out at inspections and cannot take it	The AI takes the property address, the issue, the access details and the tenant's availability, then logs the job	Real emergencies such as a burst pipe or a gas smell escalate to the on-call number immediately. The routine ones arrive as complete tickets instead of half a voicemail and a phone number read too quickly.
Wholesaler whose sales team spends the day on order status calls	Sales staff stop mid-quote to look up a delivery, then ring the customer back an hour later	The AI answers order status calls, checks the record and states the position, with a transfer if it cannot	Only genuine sales enquiries and exceptions reach a person. Anything about credit terms, pricing changes or a disputed account is routed to a human by design, never handled by the AI.
Professional services firm losing new enquiries to voicemail	A missed new client call looks identical to a missed supplier call in the RingCentral log	The AI qualifies the enquiry, captures the matter type and conflict details, and books the intake call	New enquiries are flagged and sitting in the CRM within a minute of the call ending, so a partner can ring back while the prospect is still shopping around rather than the next afternoon.

Six Honest Limits of Doing This on a Hosted Platform

A third party cannot sit inside a RingCentral call

This is the single biggest misunderstanding we have to correct. On a self-hosted PBX you can put software directly into the call path. RingCentral is hosted, and a standard account does not hand the live call media to a third party, so the AI joins as another phone number that your rules forward to, or that an auto-receptionist key points at, and the data side happens through the platform APIs afterwards. That has a real consequence. Context the platform does not pass across the forwarded leg, such as which queue the caller came from or which key they pressed, is simply not available to the AI unless we design a separate number or key for each path. We do exactly that, which is why the number plan ends up mattering more than the AI does.

A forwarded call is a second call, and it costs something

When an unanswered call forwards out to the AI number, your account is holding two legs at once and paying for the outbound one. Your plan also has a finite number of concurrent calls, so a genuinely heavy overflow event consumes capacity you may have been relying on elsewhere. Before we switch anything on we look at your busiest hour, work out the realistic concurrent load, and tell you what it will cost per month at that volume. If the sums do not work, a dedicated AI front-door number instead of a forward is usually the cheaper design, and we will tell you that rather than sell you the more complicated one.

Ring timers, queue wait and voicemail all fight each other

Answering rules count rings rather than seconds, and a ring is roughly five seconds, so a setting that looks sensible on paper can leave a caller listening for half a minute before anything happens. If voicemail pickup is shorter than the forward timer, voicemail wins and the AI never sees the call. If the timer is far longer, callers hang up before either answers. We rebuild these timings as one coherent set rather than three independent settings, test them by ringing the number from an outside mobile, and write the final values down with the reasoning so the next person in the admin portal knows why they are what they are.

There are calls the AI should never be trusted with

We define the escalation list before we define anything else. Medical urgency, a threat to safety, a distressed or vulnerable caller, a formal complaint, anything touching credit terms, a disputed invoice, cancelling a contract, or changing bank or account details goes straight to a human every time, with no attempt to resolve it first. The AI is also not the place for advice that carries professional liability, and it should never be the only thing standing between a caller and an emergency. If your business is regulated, the rule stays simple: the AI gathers and routes, a qualified person decides.

Recording, consent and privacy are not one simple rule

Call recording in Australia is governed by federal telecommunications law together with separate surveillance devices legislation in each state and territory, so whether a party may record, and what has to be announced, can differ depending on where the parties are. The platform has recording settings and announcements, and the AI can be configured to announce and to seek consent, but this is general information and what your business must do is a legal question for your adviser rather than for us. Separately, wherever call content and summaries carry personal information, we design to the Privacy Act and the Australian Privacy Principles. Only the fields that need to move actually move, access is least privilege, storage and retention are set deliberately, and you get a clear written record of what goes where.

You will need an admin, and sometimes a supervisor, to sign off

Changing company answering rules, the auto-receptionist tree, a queue overflow target or adding a number needs super admin rights in the RingCentral portal, and in most businesses that is one person who is already flat out. Queue changes usually need the supervisor who owns that team to agree, because it changes what their people experience on a Monday. On the data side, a production integration needs an application approved on the developer platform with the right scopes, which is a process with a lead time rather than a switch you flick, and the event subscriptions behind it expire and must be renewed on a schedule or delivery quietly stops. We plan all of that into the timeline, take the admin work off your plate where we are given access, and never change a live call flow without a named person agreeing to it first.

How Yes AI Helps

Call flow audit before anything changes

We document every number you own, every answering rule, the full auto-receptionist tree, each queue and its timers, your real business hours, and who owns each mailbox. You get a plain picture of where calls are being lost today and what it is costing you. Plenty of businesses take that document, fix two rules, and see an improvement before we build anything at all.

Build, configure and integrate

We write the call flow, provision the numbers, configure the answering rules and overflow targets alongside your admin, and build the write-back into your CRM, calendar and job or practice management system. Then we test the transfers into every queue and extension from an outside line, because that is the only test that proves anything.

Privacy and security by design

Least-privilege credentials, encrypted connections, only the data that genuinely needs to move, and deliberate decisions about storage, retention and deletion. Wherever personal information is involved we design to the Privacy Act and the Australian Privacy Principles, and the escalation list that keeps sensitive calls with humans is agreed and written down before go live.

Monitoring and tuning after go live

We review the first weeks of real calls with you, tune the answers and the transfer rules where callers surprise us, and watch the things that silently break on a hosted platform, such as an expired event subscription or an answering rule someone changed on a Friday. As your hours, sites and teams change, we change the flow with them.

Our RingCentral Rollout

Five steps from a first conversation to a live, monitored AI receptionist sitting behind your existing RingCentral setup. Most Australian businesses are live inside two to six weeks, and the variable is almost always how many numbers, sites and queues are in scope rather than the AI itself.

Audit the line as it is today

We inventory every number, answering rule, auto-receptionist key, call queue, mailbox and business hours setting, and we ring the line from outside to see what a customer actually experiences. We work out where calls are dropping, how many, and at what times of day. You get that picture as a document you own, whether or not you go any further with us.

Design the number plan and the call flow

We decide which pattern fits: forwarding on no answer, an auto-receptionist key, queue overflow, a dedicated front-door number, or a combination. We map every transfer target and its fallback, agree the escalation list of calls that must always reach a person, and specify exactly what data comes back and where it lands. You sign off a fixed scope, timeframe and price before any build starts.

Build and configure alongside your live line

We build the call handling and the write-back into your systems, and stage the RingCentral configuration without touching how calls flow today. Numbers are provisioned, rules are drafted, and the integration is authenticated with least-privilege credentials. Your existing line keeps working exactly as it does now while all of this is happening.

Test from the outside and run in parallel

We ring the number from mobiles and landlines, in hours and after hours, and follow every branch including the failure ones. Then we run in parallel, usually starting on after hours only or on a single overflow queue, so you can watch real calls being handled before you commit the main line. Nothing goes wide until you have listened to your own callers being answered.

Go live, then watch and tune

We cut over the agreed rules, brief your team on what changes in the app and what a handover will sound like, and stay close for the first weeks. We review real calls with you, tune the answers and transfers, and keep an eye on the quiet failure modes such as expired subscriptions or an answering rule edited by someone else. Then we extend it as you add sites, hours or teams.

FAQ

Do we have to leave RingCentral or change phone systems?

No. That is the whole point of doing it this way. You keep RingCentral, your numbers, your extensions, your app and your call queues. The AI is added behind what you already have, as a destination your existing answering rules can send a call to. If you turned it off tomorrow you would change a handful of settings in the admin portal and be exactly back where you started. We have no interest in migrating you off a platform that is working.

How does the AI actually get the call?

Through one of four supported paths, or a combination. Your answering rule forwards a call to the AI number when nobody answers within the ring count you set. Your after hours or holiday rule sends calls there outside business hours. A call queue uses the AI as its overflow target when the maximum wait is hit or no member is available. Or the AI has its own direct number, which you can publish on its own or point an auto-receptionist key at, so a caller pressing a particular key reaches it. Which one is right depends on whether you want the AI first or last, and we work that out during the audit.

Can the AI transfer to a specific person or a call queue?

Yes. It transfers back into RingCentral by dialling the extension or the queue, exactly as an outside caller would, so it can reach an individual, a hunt group or a queue with its own overflow behaviour. We can have it speak a short handover to the staff member before connecting, so they know who is on the line and why. Where the target does not answer, we set a fallback: another extension, a queue, a message taken and emailed, or your on-call number. Every one of those targets and fallbacks is agreed in scoping and configured as normal answering rules your admin can see.

What changes for our staff in the RingCentral app?

Almost nothing. Same app, same extension, same presence, same call log, same voicemail. A call handed back by the AI arrives as an ordinary inbound call. The two practical differences are that the caller ID on a transferred leg may show the AI number rather than the original caller, which is why the spoken handover matters, and that one conversation which touched both the AI and a person can appear as two entries in the call log. We build your reporting knowing that, so the totals stay honest, and we brief your team on both points before go live so nobody is caught out on day one.

Will calls be recorded, and what about consent in Australia?

That is your decision, and it is a legal one. Call recording in Australia sits under federal telecommunications law plus separate surveillance devices legislation in each state and territory, so what has to be announced or consented to can depend on where the parties are. Treat everything here as general information rather than legal advice. The platform has recording settings and announcements, and the AI can be configured to announce a recording and to seek consent before continuing. We will build whatever your legal adviser tells you is required, and we will tell you plainly that we are not the ones who can sign off on that. Separately, wherever recordings or summaries hold personal information, we design storage, access and retention to the Privacy Act and the Australian Privacy Principles.

What data comes back, and where does it go?

Who called, the number they rang from, when, how long the call ran, what they wanted in plain English, what the AI committed to, and any booking made or job logged. That flows into the systems you already run: a contact created or updated in HubSpot or Salesforce, a note on the client file, an appointment in the real calendar with the correct duration and owner, a job in your job or practice management system, a notification into Microsoft 365 or Google Workspace. We agree the destinations and the field mapping during scoping so nothing lands in a place nobody looks.

How long does it take and what does it cost?

Most rollouts are live in two to six weeks, driven by how many numbers, sites and queues are in scope rather than by the AI. Scoping and strategy work starts at $1,000 for a focused BASIC engagement, $3,000 for a STANDARD one, and $10,000 for a STRATEGIC piece across a larger estate. Build and configuration is quoted at a fixed price after the audit, with setup from $499. Ongoing voice agent plans start at $299 per month for 500 minutes and $599 per month for 1,500 minutes, with custom pricing above that. All figures are AUD and exclude GST. You get a fixed scope, timeframe and price before any build starts.

What happens when the AI cannot handle a call?

It hands over, and we design that path first rather than last. There is an agreed escalation list of things the AI never attempts: medical urgency, a safety issue, a distressed caller, a formal complaint, credit terms, a disputed invoice, cancelling a contract, or any change to bank or account details. Those transfer to a person immediately. Beyond that list, if a caller asks something outside its scope, repeats themselves, or simply asks for a human, it stops trying and transfers. If nobody is available it takes a proper message with a callback number and pushes it somewhere you actually read. The measure of a good AI receptionist is how gracefully it gives up, not how long it keeps talking.

Stop Losing the Calls RingCentral Was Never Going to Answer

Book a call flow review and we will map what your line does today, where callers are dropping out, and which of the four integration patterns fits your setup. You get the audit document either way, with no obligation and no jargon.