Should your business use a voice agent? We will give you a straight answer.
We work out whether a voice agent fits your business, build it if it does, and hand it over so you own it outright. No prior knowledge needed — walking you through it is part of the work.
What we do
Assess
Is voice AI right for this problem, and what will it actually cost per call?
Design
Call flows, escalation paths, latency budget, language strategy, integration map.
Build & hand over
We ship the working agent, then your team owns the code and the runbook.
Run & improve
Optional. Monitoring, tuning, and vendor migrations once it is live.
What working with us is like
You do not need to speak the language
Most people arrive knowing they have a phone problem, not knowing what a voice agent is. That is the normal starting point. We explain every choice in plain terms, and no question is too basic to ask.
You own what we build
Source code, an operational runbook, and a session with whoever will run it. Not a subscription you cannot leave, and not a system only we understand.
Straight answers, including no
An assessment can end with us telling you not to build this, or not to build it yet. That is a real outcome, and you get it in weeks rather than after a year of spending.
A good fit if
- Your business does not run around the clock, but your callers expect it to
- Each call carries real value, and your team is already stretched answering them
- You want a voice system of your own, running at a cost you control
- You want the AI side handled for you — built and kept running — so your team stays focused on serving clients
- You have someone who can explain how calls are actually handled today
Most voice AI demos work. Production is the hard part.
These are the four places we most often see voice projects come apart.
The demo impressed everyone. Then real callers arrived.
at pilotA platform was chosen before anyone modelled the cost per minute.
at procurementResponse latency crept past a second. Callers started talking over it.
at launchNobody designed what happens when the agent cannot help.
month 3None of these are model problems. They are design and delivery problems, and they are the ones we work on.
How an engagement runs
Indicative shape for a first build. Assessments can run standalone.
Week 1–2
Assess
Feasibility, use-case selection, platform shortlist, cost model
Week 3–4
Design
Call flows, escalation logic, latency budget, integration map
Week 5–10
Build
We ship the agent and tune it against your real call traffic
Then it is yours
Hand over
Code, runbook, and a working session with your team
Connects to the tools you already run
An agent that cannot write to your calendar or your CRM is a demo. Integration is part of the build, not a phase after it.
The practice
CentraTalk is a voice AI practice. We work on one problem: making conversational voice agents hold up outside a demo environment.
- Delivery experience
- Fifteen years implementing enterprise cloud platforms — quote-to-cash, sales operations, and business process automation for large, distributed organisations. Rules engines, approval workflows, multi-country rollouts, and integration into established CRM and ERP estates. The work ran end to end: requirements with the business, architecture, build, user acceptance, and go-live support. Voice agents are the same problem wearing a different interface — business logic that has to survive contact with how people actually work.
- We build, not just advise
- We have designed, built, and run voice agents that take real calls — not just advised on them. Most of what we know about latency budgets, barge-in handling, and escalation design came from operating systems in production rather than from reading about them.
Tell us what you are trying to build.
Thirty minutes. We will tell you whether voice AI fits — including when it does not.
