made. Voice
Government-grade, multilingual voice AI agents — made to handle complex inbound inquiries, automate intake, and triage calls securely. Every call leaves a structured transcript, intent classification, and decision trail — so whoever picks up the next step inherits full provenance, not just a summary. A standalone enterprise product, or a strategic add-on across the made. Platforms suite.
Yes. Disclosure is built in — every call begins with a clear statement that the caller is speaking with an AI agent, and that a human can be requested at any time. This is non-negotiable and reflects our responsible-AI principle: no deception, ever.
Whenever the caller asks, whenever the agent's confidence drops below threshold, and whenever the call crosses a safety, safeguarding, or judgment boundary you've defined. The human picks up with the full transcript and structured context — no "tell me everything again" moment.
Yes. made. Voice runs standalone with API-driven routing into any CRM, ERP, or ticketing system. The vertical integrations are accelerators — but the layer underneath is general-purpose conversational AI for the phone.
Per your retention policy. Transcripts and structured call summaries are produced by default; raw audio recording is optional and configurable per use case (e.g. enabled for incident reporting, disabled for routine enquiries). Australian Privacy Principles and call-recording laws are honoured at the policy level.
Every call is anchored on the made. Ledger with a structured transcript, the intent classification the agent assigned, the tone profile it operated in, and the decision trail behind any routing, handoff, or downstream action. Whoever picks up the next step — a case officer, a roster manager in made. Workforce, an operator on the CRM — inherits full provenance, not just a summary.
Stored call data, transcripts, and recordings are Australian-hosted, ring-fenced inside your environment, and encrypted at rest. Where inference runs off-shore, it runs only on Zero Data Retention providers — and your data is never used to train external public models. See the shared architecture.
Traditional IVR frustrates. Offshored agents struggle with context. Speaking a language other than English means falling back to a translator service that loses nuance. The hardest calls land on the people least equipped to handle them well.
Call centres are overwhelmed by routine administrative intake. Offshoring routine calls compromises data security. Voicemails sit unstructured. Critical information — a sick call, a customer complaint, a planning enquiry — is lost in a queue that has nothing to do with the actual work.
made. Voice deploys highly capable, natural-sounding AI agents that hold complex, multi-turn conversations over the phone — instantly understanding context and translating languages on the fly.
Natural conversations, not scripts
made. Voice agents hold the kind of back-and-forth phone conversation a senior operator would — asking the right follow-ups, remembering what the caller already said, and adapting tone to the moment. Not an IVR tree pretending to listen.
100+ languages, on the fly
Callers speak the language they think in. made. Voice translates in real time — and your operators receive both the original transcript and the English translation. Nothing is lost to a third-party interpreter, and nothing slows the call to a crawl.
A voice that meets the moment
made. Voice agents adapt tone to the work. Brisk and efficient for a routine absence report or order status check. Warm and patient for a confused customer. Measured and steady when the call genuinely calls for it — a distressed caller, an incident report. The voice matches the moment; it is not stuck in one mode.
Calls become actions, not voicemails
Every call ends as a structured action in the system that needs it. A sick call updates the roster. A complaint opens a support case. A planning enquiry creates a ticket against the right DA. No voicemails to listen to, no notes to retype.
Three ways to deploy
Most customers buy made. Voice for one job — call intake, sick-call automation, multilingual customer service. From there, it plugs into the vertical platforms when the conversations need to land somewhere more specific.
Multilingual call intake and automated action routing into your existing CRM, ERP, or ticketing. Drop in a phone number, define the workflows, and made. Voice handles the conversations — no vertical platform required.
Talk to us →Staff phone in to report absences or check shifts. The voice agent updates the roster, offers the shift to eligible replacements, and confirms back — automatically, 24/7.
See made. Workforce →No offshored agents handling sensitive calls. Stored call data is Australian-hosted, ring-fenced inside your environment, and encrypted at rest.
Every call answered, in any language, immediately — without growing the call centre. Your human operators take the calls only they can take.
Every conversation ends as a structured action in your downstream system. Nothing gets lost between the call and the work it should trigger.
Runs on the made. Ledger
Every call leaves a structured transcript, intent classification, and decision trail — so whoever picks up the next step has the full provenance of the conversation, not just a summary.