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raava

Practical AI · Built in Melbourne

Voice AI for Australian businesses

Phone calls still convert. Voice agents handle after-hours bookings, appointment reminders, and intake — without the canned tone.

Why most voice bots still sound like 2018

Voice technology moved on; most deployed agents didn't. Australian SMEs we talk to ran the IVR experiment a decade ago and have been gun-shy ever since. Three failures from that earlier wave keep colouring the conversation.

01

Robotic delivery the moment a question goes off-script.

Older voice systems read pre-recorded prompts and fall apart on anything ambiguous. The caller hangs up; the business loses a booking.

02

No useful hand-off when the agent is out of its depth.

When the voicebot couldn't handle a request, the legacy fallback was 'leaving a voicemail nobody listens to' or 'transferring to an unstaffed line'. The customer hears the friction and rings a competitor.

03

No record of the conversation worth reading later.

Calls vanished after they ended — no transcript, no sentiment signal, no reason for the hang-up. Operations had no way to tune the agent or spot patterns in why callers churn.

How we build it

Modern voice agents work reliably when the architecture is right. We use Twilio or Vapi for telephony, ElevenLabs for natural-sounding speech, Whisper for transcription, and Claude for the reasoning step in the middle. Conversations are modelled as multi-turn flows — the agent can ask clarifying questions, hold context across turns, and confirm before it commits a booking. Every call ends with a structured transcript landing in your CRM or helpdesk, with the intent classified and the outcome noted. Where the agent hits its confidence limit, the call hands off to a human with the conversation context attached — not just a buzzer asking the staff member to start over. Latency stays under 2 seconds turn-to-turn on the default deployment, and the voice is tunable to your brand: accent, pace, and energy can all be calibrated against samples of how your team already sounds. The whole stack runs in the Sydney region for AU data residency by default.

Tools we lean on: Twilio · Vapi · ElevenLabs · Claude · Whisper · FastAPI

Pipeline shape · Voice AI

  1. 01Listen
  2. 02Transcribe
  3. 03Reason
  4. 04Speak
  5. 05Hand-off

What the voice agent does, end to end

Six capabilities every voice deployment we ship includes by default.

After-hours call answering.

The agent picks up when your staff are gone — bookings, intake, reminders, and FAQ at 11pm or 6am. Caller-side latency stays under 2 seconds turn-to-turn.

Confidence-routed hand-off.

Where the call moves outside the agent's scope — payment disputes, clinical questions, escalations — it hands off to a human with the full transcript already loaded.

CRM, calendar, and helpdesk integration.

Bookings land in Cliniko, Salesforce, HubSpot, or your booking platform of choice. Every call writes a structured record back to your system of truth.

Multi-turn intake flows.

Triage forms, multi-step bookings, post-call surveys — the agent can hold a conversation across multiple turns and confirm details before it commits anything.

Privacy and recording compliance.

Caller consent captured at the opening of each call. Recordings retained per your policy, encrypted at rest, deleted on schedule. Australian Privacy Act-aligned by default.

Per-call quality scoring.

Every call ends with intent classified, outcome noted, and a sentiment signal. Operations can spot patterns — common drop-offs, frustrated callers — without listening to every recording.

Packages start at three sizes

Most clients land on Scale. We re-quote against call volume and integration complexity after the audit.

Automate

From $2,000 AUD

Single-intent voice agent — typically appointment booking or basic IVR replacement. One number, one CRM write-back.

  • Single intent (booking or IVR)
  • One inbound number
  • CRM write-back
  • After-hours coverage
Most popular

Scale

From $5,000 AUD

Multi-intent agent with intake flows, calendar integration, and confidence-routed hand-off to your existing call queue.

  • Up to 5 intents handled
  • Calendar + CRM integration
  • Confidence-routed hand-off
  • Per-call transcripts + scoring
  • Quarterly voice tuning

Transform

From $10,000 AUD

Multi-line agent with sentiment monitoring, optional second-language support, and an analytics dashboard for operations.

  • Multi-line + outbound
  • Optional second-language support
  • Analytics dashboard
  • Sentiment + outcome reporting
  • Ongoing voice + flow tuning

Real-world scenario · 2025

Receptionist calls converted to 92% answered

A Melbourne allied-health clinic was missing roughly a third of its inbound calls. The single receptionist couldn't cover lunch, after-hours, or peak periods cleanly, and the answering machine wasn't producing returnable callbacks. Bookings were drifting to clinics that picked up the phone faster.

We built a voice agent on Twilio + ElevenLabs with Claude doing the reasoning step. The agent handled new-patient intake, appointment booking, reminder confirmations, and a small set of FAQ. Cliniko sat behind it for the calendar and patient record. Hand-off rules sent any clinical question, payment dispute, or anything outside the booking scope to the receptionist's queue with the call context already attached. The build took 18 calendar days end-to-end.

Within four weeks of go-live, the clinic was answering 92% of inbound calls — versus 64% before — and bookings rose 38% on the same enquiry volume. The receptionist's day shifted: less switchboard duty, more time on the patients in the waiting room and the harder calls that genuinely needed her judgment.

Read the full case study
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Inbound calls answered (vs 64% before)

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Bookings on the same enquiry volume

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Build window from kickoff to go-live

Questions clients ask before they book the call

Will it actually sound natural — or like every other voicebot?

Modern voices on ElevenLabs are convincingly human; the giveaway is usually pacing and recovery, not the voice itself. We tune three things during build: the speaking pace and intonation against samples of how your team sounds, the recovery prompts when the agent doesn't quite catch a phrase, and the hand-off threshold so the agent doesn't push past its competence. Most callers don't realise they're not talking to a person; the ones who do generally stay engaged because the agent can actually help.

What if the agent can't handle the call?

It hands off to a human — your existing staff, your existing call queue — with the conversation transcript already loaded. The hand-off threshold is configurable per intent: clinical questions or payment disputes always hand off; routine bookings only hand off if the agent's confidence drops below threshold. We measure hand-off rate during the first month and tune the rules to match your operations team's load.

How does this work with our calendar / CRM?

We've integrated with Cliniko, Salesforce, HubSpot, and a long tail of booking platforms. The integration approach is always a dedicated adapter — the voice agent confirms the slot before it commits, so double-bookings don't happen. Every call writes a structured record back to your system of truth: who called, what they wanted, what got booked, and any flags that came out of the conversation.

Where does the call data live? Is it private?

Calls run through Twilio in the Sydney region by default; transcripts and recordings stay in the AU region. Caller consent is captured at the opening of every call. Recordings are encrypted at rest and deleted on the schedule you set — typically 30 to 90 days depending on industry. Australian Privacy Act-aligned by default; we work with privacy officers in clinical and financial settings to meet stricter retention rules where they apply.

How long does a typical project take?

Voice AI projects on the Scale tier ship in 4-6 weeks from kickoff. Automate-tier projects ship in 2-3 weeks. Transform-tier projects (multi-line, second-language, analytics dashboard) typically run 8-12 weeks. The first two weeks are always discovery — call recording analysis, intent inventory, hand-off rule design — before the agent makes its first outbound test call.

Free 30-min audit · No prep required

See if voice picks up where your team leaves off.

Book a free 30-minute audit. We'll map your call patterns, identify the after-hours gap, and tell you whether voice automation is the right fit — or not.