Voice AI that already knows how to answer your phone.

Most voice AI is sold as a platform. You get an API, a dashboard, a prompt editor and a long weekend ahead of you.

RelayCrew is the finished thing. Ava answers your business line, qualifies the caller and books the job, and we build and run her for you.

Deploy your crew →See pricing

Platform versus outcome

The voice AI market splits into two quite different products that share a name. One is infrastructure: speech recognition, a language model, telephony plumbing and a way to wire them together. It is genuinely impressive and it is aimed at engineers.

The other is a working agent doing a specific job. Fewer choices, no configuration, and someone else responsible when it drifts.

If you have a development team, the platform route gives you control and probably lower unit cost. If you run a plumbing company, the platform route gives you a project you will not finish.

What the voice agent actually does

Natural conversation, not a phone tree

No press one for service. The caller says what is wrong and Ava responds to that, including when they interrupt or change direction mid-sentence.

Understands trade vocabulary

Compressor, breaker panel, supply line, shingle. Set during onboarding so she does not mishear the thing the whole call is about.

Handles real-world call conditions

Traffic noise, a dog, a running tap, a caller on speakerphone in a parking lot. The conditions actual service calls happen in.

Knows your specific business

Your service area, hours, pricing boundaries and scheduling rules — not a generic script with your name inserted.

Books rather than transcribes

The call ends with an appointment and a confirmation text, not a summary emailed to you.

English and Spanish

Both handled directly on the same line, without a language menu.

Where voice AI is still weak

Worth being straight, because overclaiming here is why a lot of people distrust the category. Voice AI struggles with genuinely emotional callers. It struggles with heavy accents it has not been tuned for. It struggles when a caller wants to negotiate rather than inform.

It also cannot exercise judgement about money. Any pricing decision outside a defined range, any contract commitment, any refund \u2014 those escalate to a human by design, not because the technology could not attempt them but because it should not.

What it does extremely well is structured, repetitive, high-volume conversation where the goal is clear. Which happens to describe almost every inbound service call.

Why managed matters more than model quality

The underlying models are good enough that model choice is rarely what determines whether a deployment works. What determines it is whether someone keeps the thing accurate as the business changes.

Prices change. Service areas expand. A new tech joins and the scheduling rules shift. A platform deployment degrades quietly through all of that, because nobody owns it.

Managed means we own it. You tell us what changed and we update the crew, which is the difference between voice AI that works in month nine and voice AI that got switched off in month three.

Common questions

Which voice AI model does it use?

We use commercial models and change them when better ones ship. That is part of what managed means — model choice is our problem, not yours.

Can I customise how it talks?

Yes, during onboarding. Tone, greeting, how it describes your business and what it says in specific situations are all set to your preference.

Will callers know it is AI?

Ava identifies herself as a virtual assistant. We do not pretend otherwise, because being caught pretending costs more than disclosing ever does.

Skip the build. Get the agent.

$995 setup plus $799 a month. Live in 14 days, supervised for the last three.

Deploy my crew →

AI receptionist →AI employees →Call answering service →