Voice AI Agents
A voice AI agent handles a phone conversation: it listens, understands, responds in natural speech, and takes action in your systems. We build them for defined call types — appointment booking, lead qualification, order status, support triage — with the latency and interruption handling that determine whether a call feels natural or unbearable.
The problem
What happens when the phone rings
The call comes in while you are with someone else
For a clinic, a workshop, a dealership or any business where the person answering is also the person delivering, the call that goes to voicemail is a booking that goes to whoever picked up instead. Nobody logs it, so the loss never appears in a report.
The menu tree exists to protect the team from the volume
Callers press four, wait, reach the wrong department, and start over. Everyone involved knows it is a poor experience; nobody has had a cheaper alternative, so it has survived three system upgrades.
Nobody knows what was said
Calls are handled well or badly and there is no record either way — no transcript, no structured outcome, nothing reaching the CRM unless a person types it up afterwards, which happens for some calls and not others in a pattern nobody controls.
What a real fix takes
A second of silence is the whole product. Voice is judged on turn-taking rather than intelligence: whether it stops when interrupted, whether the response begins before the caller wonders if the line dropped, whether it copes with someone changing their mind mid-sentence. That latency budget constrains every architectural decision downstream, which is why a chat assistant ported to the telephone feels wrong even when its answers are correct. The other thing worth saying plainly is that telephony audio is materially harder than the clean recordings any demo uses — accents, background noise, poor lines and speakerphones are the normal case, not the edge case, and recognition is where a voice project most often turns out to be harder than it looked.
Outcomes
What changes
Calls answered immediately, at any hour
No queue, no voicemail, no abandoned callers. For businesses where a missed call is a lost customer, this is usually the entire business case.
Consistent call handling
The same questions asked, the same information captured, the same policy applied, with a transcript and structured record of every call.
Human time reserved for calls that need it
Routine calls handled end to end; complex or sensitive ones transferred with full context.
Honest limits
Voice is harder than chat. Latency, accents, background noise, interruption and emotional register all matter, and the failure modes are more visible because the caller is waiting in real time. We scope accordingly.
What we build
What we build
Inbound call handling
for booking, enquiries, status checks and triage, integrated with your calendar, CRM or ticketing system.
Call routing and triage
that understands the reason for the call and directs it correctly, replacing menu trees people already dislike.
Post-call processing
— transcription, summary, structured data extraction, CRM update, follow-up task creation. Often valuable even without an agent handling the call itself, and frequently the right place to start.
Warm transfer
to a human with conversation context passed across, so the caller does not start over.
Latency engineering
Streaming recognition, responses that begin before the full thought is formed, and interruption handling. This is where the build time goes and it is what separates a call people complete from a call people abandon.
Recovery behaviour
What the agent does when it did not catch something — asking once, clearly, rather than guessing confidently or looping. Poor lines and speakerphones are routine, and graceful recovery is a larger share of the work than the path where everything is heard correctly.
Multilingual handling
where your callers need it, tested against real accents rather than clean studio audio.
What you receive
A working voice system, not a document
All of it runs in your environment, on your telephony account, and stays yours. Nothing here depends on us continuing to hold the keys.
The deployed agent
, handling the call types agreed at scoping, connected to your telephony and answering real calls.
The conversation flows behind it
— what the agent asks, in what order, how it confirms what it heard, and what it does when a caller changes direction mid-sentence. These are the substance of the build rather than documentation of it, and they are the thing that gets tuned as you learn what callers actually say.
The integrations that let it act
rather than only talk: the calendar, CRM, ticketing or order system it reads from and writes to, so a completed call leaves a structured record behind it instead of a transcript nobody reads.
Escalation handling
, with the conditions for transferring to a person defined explicitly and the conversation context passed across at the moment of transfer, so the caller does not start again.
How it works
How it works
- Weeks 1–2
Call analysis
We listen to real recordings of the call types in scope. Duration, structure, common deviations, where calls go wrong, and how much of your real audio is difficult.
- Weeks 2–3
Conversation and escalation design
The flow, the recovery paths, and the explicit conditions for transferring to a person. Escalation is designed first.
- Weeks 3–6
Build
Speech recognition, dialogue logic, speech synthesis, telephony integration, system actions. Latency budget managed throughout, and it constrains architecture more than anything else does.
- Weeks 6–8
Testing under real conditions
Accents, noise, poor lines, interruptions, callers who change subject mid-sentence. Voice fails in ways text never does.
- Weeks 8–10
Pilot
Limited live traffic, call review, iteration. Every call recorded and reviewed initially, because early failures are cheap to fix and expensive to leave.
Ongoing
Call review, prompt and flow tuning, expansion of scope as performance justifies it.
The phase that surprises clients is testing under real conditions. A system that handles a clean call flawlessly can be defeated by a caller on speakerphone in a moving car, and the work of recovering gracefully from that — rather than confidently mishearing — is a larger share of the build than the happy path.
Technology
What we work with
Technologies we work with, selected per project against your call types and your audio. Not an exclusive stack and not partnerships — the speech provider landscape moves quickly, and the sensible choice is the one that performs on your calls rather than the one used last time.
Speech recognition: provider chosen for performance on telephony-quality audio rather than on clean recordings, which is where the difference between providers actually shows.
Dialogue: language models with tight latency budgets, streaming responses, and interruption handling.
Speech synthesis: ElevenLabs, Cartesia and comparable providers, selected for naturalness and latency together.
Telephony: Twilio, LiveKit or your existing platform.
Integration: calendar, CRM, ticketing, order systems — the agent acts, not just talks.
Where this applies
Where this applies
Strongest for high call volume in a narrow set of predictable call types, where a missed call carries direct and immediate cost — healthcare appointment handling, travel and hospitality booking and confirmation, real estate enquiry qualification, and retail and e-commerce order status.
Weakest where calls are long, emotionally sensitive, or highly variable, and where the caller base routinely rings from noisy environments or poor connections. Some conversations should be handled by a person, and we will say which of yours those are.
Why us
One team, not three vendors
The usual way
- A strategy consultant, a development shop and a marketing agency, each scoped separately.
- Months spent getting three vendors to agree, and blame to allocate when something breaks.
- The model ships and adoption becomes somebody else's problem.
With Nexiour
- One team across strategy, engineering and growth. You skip the coordination tax entirely.
- We own the whole outcome — from the first audit to the system that is running.
- Delivery across the UK, UAE, Germany and India, with overlapping hours in four markets.
What it costs
How we scope and price
Fixed scope per call type, quoted after call analysis. Three things drive it.
Number of distinct call types
Each carries its own flow, recovery paths and test set. One call type done well beats three done adequately.
Integration depth
Booking into a live calendar with availability rules is a materially larger build than reading back an order status.
Language requirements
Each additional language is its own synthesis voice, its own conversation design and its own testing pass, rather than a configuration flag.
Per-minute run costs — recognition, inference, synthesis and telephony — are modelled explicitly and quoted separately from the build. Voice carries meaningfully higher ongoing cost than text, and it should be visible before you commit rather than after the first monthly invoice.
FAQ
Frequently asked questions
They should, and disclosure requirements are tightening in a number of jurisdictions. We build disclosure in as standard. In practice callers accept it readily when the agent is useful and transfers cleanly.
Current synthesis is genuinely good. The bigger determinant of naturalness is conversational behaviour — handling interruption, not talking over people, recovering from misunderstanding — which is engineering rather than voice quality.
The main practical risk on any voice project. Telephony audio is harder than the clean recordings demos use, and callers on speakerphones, mobiles and poor lines are the normal case. We design for recovery — asking again clearly rather than guessing — and we listen to your real recordings during call analysis to understand what the agent will actually be dealing with.
When calls are long, exploratory or emotionally difficult, where a person is what the caller actually needs. When volume is low enough that the build and the per-minute run cost will not pay back. When your callers routinely ring from environments that make them hard to hear, since that raises the failure rate on every call rather than a subset. And frequently the honest answer is a smaller one: start with post-call processing, which captures most of the record-keeping value at a fraction of the risk, and revisit the agent later.
Warm transfer to a human with context. Designed first, tested hardest.
It is a per-minute cost across several components, and it varies with call length and provider choice. We model it during scoping with your actual call duration data.
Yes, with quality varying by language and accent. We test against your real caller base rather than assuming parity.
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