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AI Voice Agents

AI Voice Agents That Make and Take Real Business Calls

Voice is where most businesses still lose time: chasing missing information, confirming bookings, answering the same enquiry, calling back. A voice agent handles the predictable part of that — and warm-transfers a person the moment the call needs one.

What is an AI voice agent?

An AI voice agent is a system that holds a spoken conversation on a real phone line: it understands what the caller says, looks up the relevant record in your systems, responds naturally, takes the agreed action, and either completes the call or transfers it to a person with context. It differs from an IVR phone menu in that the caller speaks normally instead of pressing numbers, and it differs from a recorded message in that it can actually resolve the reason for the call.

Capabilities

What the system actually does

Not a feature list for its own sake — each of these exists because it removes a specific piece of repeated work.

Inbound calls

Answers on the first ring, at any hour, without a queue.

Outbound calls

Initiates calls for confirmations, chasing and follow-ups, on a schedule or triggered by an event.

Customer verification

Confirms identity against your records before anything sensitive is discussed or changed.

Missing-information collection

Calls to collect the one field that is blocking an order, booking or claim.

Booking and rescheduling

Checks availability, books, moves and cancels against your real calendar or booking system.

Customer notifications

Delay, change and readiness calls where a message would be missed.

Order enquiries

Status, delivery and collection questions answered from live order data.

Lead qualification

Asks the qualifying questions, records the answers, books the meeting or routes to sales.

Multilingual conversations

Switches language to the caller, including regional variants.

Warm transfer

Hands to a named person or queue, with a spoken summary and the record already on screen.

Callback scheduling

Offers a time instead of holding the caller, and honours it.

Call summaries + CRM updates

Every call produces a structured summary, an outcome and a system update.

How it works

An outbound resolution call, step by step

This is the pattern behind most high-value voice automation: something is blocked, one fact is missing, and a call is the fastest way to unblock it.

Nothing here is a black box. Every step writes an audit record: what triggered it, what data it used, what it changed, and whether a person approved it.
01TriggerAn event in your system — payment failed, information missing, collection window approaching — creates a task. Nobody schedules the call by hand.
02Context assemblyThe agent loads the order, the customer, the history and the exact question it needs answered before dialling.
03Call placedDialled inside allowed calling hours, with retry and voicemail rules already defined.
04Identity confirmedThe agent verifies it is speaking to the right person before discussing the case.
05ConversationThe agent explains the situation plainly and collects what is missing, handling interruptions and clarifications.
06System updatedThe answer is written back to the source system and the blocking condition is cleared.
07Transfer or closeIf the caller asks for a person, disputes something, or the case falls outside policy, the call is warm-transferred with a spoken handover.
08Summary loggedOutcome, transcript, recording reference and next action attached to the record.

Guardrails

AI when it can. Humans when it should.

A voice agent that will not let a caller reach a person is a reputational liability. Ours are built the other way round.

  • The caller can ask for a human at any point and the agent transfers — it never argues, deflects or loops.
  • Warm transfer, not blind transfer: the receiving agent hears a summary and sees the record before speaking.
  • The agent identifies itself as an automated assistant. We do not build systems that pretend to be a named person.
  • Complaints, distress, disputes and anything legally sensitive escalate automatically.
  • Calling hours, retry limits, do-not-call handling and consent rules are enforced in the system, not left to the prompt.
  • If a transfer target is unavailable, the agent takes a callback commitment and the system honours it.

Reference architecture

How it fits your existing systems

We do not replace what you run on. The automation layer sits alongside it and is bound by what each system permits.

Telephony

Numbers, routing, recording and transfer to your existing lines.

SIP / PSTNCloud telephony providerExisting PBX or contact centreCall recording

Speech

Low-latency speech in and out, tuned for interruption and accent.

Speech-to-textText-to-speechBarge-in handlingLanguage detection

Conversation control

What the agent is allowed to say, ask, and do on this call.

Dialogue policyVerification stepsAction allow-listTransfer rulesCalling-hours + consent guard

Business systems

The call is only useful if it changes something in a real system.

Order / ERPCRMBooking systemPaymentsHelpdesk

Evidence

Every call reconstructable after the fact.

TranscriptRecordingStructured outcomeAction logRetention policy

Reference architecture, not a screenshot of a specific client deployment. Actual components depend on the systems you already run.

Before / after

What changes operationally

Before
  • Staff calling customers one by one to chase a single missing field
  • Calls missed outside office hours and never returned
  • Repeat callers because nobody logged the last conversation
  • Booking changes handled by voicemail tag
  • No record of what was actually said
After
  • The system places the call the moment the block appears
  • Every inbound call answered, or a callback committed and kept
  • Structured outcome and summary on the record after every call
  • Availability checked and the change made during the call
  • Transcript and recording attached to the case

Operational changes, not performance claims. Any numbers we publish come from a measured deployment and are named as such.

Where it applies

Common starting points

The best first deployment is narrow, high-volume and measurable. These are the ones that usually qualify.

Score your own workflows

Collecting one missing detail

Passport number, flight number, delivery instruction, PO reference — the single field blocking fulfilment.

Booking confirmation and reminders

Confirm, reschedule or cancel during the call rather than sending a message nobody answers.

Order and collection enquiries

Especially where a deadline exists and a missed call means a lost order.

Failed payment recovery

A short, polite call with a secure way to complete payment, instead of a fifth email.

Lead qualification and callback

Respond to a web enquiry within minutes instead of the next working day.

After-hours front desk

Answer, triage, book, and escalate genuine urgency to the on-call person.

Integrations

Systems we connect to on this work

SIP / PSTN carriersCloud telephony platformsExisting PBX and contact centresMagentoShopifyERP systemsCRM (HubSpot, Zoho, Salesforce)Booking and PMS systemsCalendarsHelpdesk platforms

Platforms and technologies we have built against. Not an endorsement or partnership claim.

FAQ

Questions we get asked

Cost has three parts: build (integrating with your systems and designing the conversation and its rules), per-minute running cost (telephony, speech and model usage), and ongoing tuning. The variable that moves the number most is not the AI — it is how accessible your systems are. Our AI Voice Agent ROI Calculator gives you the addressable-volume side of the equation so you can judge whether the case exists before anyone quotes.
Yes. The agent identifies itself as an automated assistant. We do not build voice agents that impersonate a named human, and several markets require disclosure in any case.
Yes — into your existing phone system, queue or a named extension, with a spoken summary and the customer record already open.
The agent detects and switches language mid-call and handles regional accents. Accuracy varies by language and line quality, so we measure it on your actual calls during the pilot rather than promising a number upfront.
Rules on disclosure, consent, calling hours and recording differ by country and by whether the call is inbound or outbound. We build those constraints into the system, but you should confirm your own obligations with your legal advisers — we are engineers, not your counsel.
The agent detects repeated misunderstanding and transfers rather than persisting. A frustrating loop is treated as a failure state, and it is one of the things we measure.

Give us one repetitive problem.

Tell us about one workflow that keeps reaching a person when it should not. We will come back with how we would automate it, what stays human, and what it takes to build.