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Voice AI

What you need to know when choosing a partner for Voice AI

Everyone's talking about Voice AI. Everyone's showcasing fancy demos. And everyone promises that “this agent understands everything – in all languages – all the time”. Reality check: It’s nonsense.

ByKjell Rune Monsø4 min read
Seen over someone's shoulder, a hand holds a phone showing a video call, with a smiling red-haired man in a dark jumper filling the screen

Because when technology meets Nordic customers, dialects, GDPR requirements, and old CRM systems, many solutions collapse like a cheap camping chair.

So how do you avoid being fooled by flashy demos and buzzwords? You use this checklist:

The three secret weapons (no one tells you about)

Behind every good voice agent, there are three things:

  1. Prompting – The manuscript that governs how the AI behaves. (Without this: conversations that completely derail – and customers giving up.)
  2. Labeling – The building blocks that enable the AI to understand what people are actually saying. (Hint: “mhm” and “yuck” are not always easy to interpret.)
  3. Finetuning – The customization that makes your agent an expert in your industry, your customers, and your language. This means the agent can actually understand industry jargon, interpret dialects, and use your tone of voice. Without finetuning, there's a risk that customers feel talked to by a robot – not an advisor.

Are you dropping these? Congratulations – then you just have a glorified chatbot with a microphone.

The checklist

When choosing a Voice AI provider, these are the points you MUST check – alongside the pricing unit the contract is written in, which decides more than the number at the bottom of the quote:

  • Data Security & GDPR – Where does your customers' voice end up? (Spoiler: “USA somewhere” is the wrong answer.) And can the provider document that the agent states that it is AI, as the AI Act requires?
  • Integrations – Does the agent communicate with your CRM, or just pretend to?
  • Voice Experience – Does the voice sound human? Or a GPS from 2008?
  • Customization – Can the agent have your tone of voice – or will it sound like a customer service robot from a budget chain?
  • Analysis & Learning – Do you get insight into what people actually ask about, or are you left in the dark?
  • Support – Is the provider there when things go sideways? Or do you get a PDF with an FAQ? And can they tell you which model version the agent is running today, given as a string rather than as “the latest”?
  • Language & Culture – Can they handle Norwegian, Swedish and Danish – for real? (Not just the written standards, but dialects, slang, and odd expressions.) When a provider boasts about support for a hundred-plus languages, that is a promise of breadth – not of depth.

Want to talk it through with someone who has done this before?

Fifteen minutes on a call. We will tell you honestly whether a voice agent fits your setup – and what has to be settled before it goes live.

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Delays – the hidden dealbreaker

Here is the truth: You may have the world's best voice, the most advanced integrations, and perfect language understanding. But if the agent takes too long to respond, everything will fall apart.

Delays of just 1–2 seconds can make the conversation awkward and unusable. It feels like talking on a walkie-talkie: “Over and out.” No customers will tolerate that.

A professional Voice AI must respond instantly. The response should feel as natural as when you talk to a human. That's why we at Threll.ai have worked tirelessly to reduce latency – so that Voice Threllers feel seamless and real.

Background noise – the invisible enemy

Chatting with an AI on your keyboard is simple: plain text in, plain text out. But in reality, your customers are speaking via phone – and that makes the sound quality chaotic:

  • Traffic in the background
  • Children shouting
  • Poor headphones
  • Poor coverage

All of this can undermine the AI's ability to understand what is being said.

Therefore, sound quality and noise management are absolutely essential in Voice AI. If your system cannot filter out background noise, you'll have frustrated customers and misunderstandings.

At Threll.ai, we have built Voice Threller that are trained on real, imperfect conversations. This means they don't just work in a quiet conference room – but also in the customer's daily life.

What does this mean for you?

Choosing Voice AI is like buying a car: At the dealership, everyone looks good, but it's only on the road that you notice if the engine really holds up.

At Threll.ai we are building Voice Threller from the ground up – with Nordic conditions in our DNA. We know languages, we understand culture, and we have the integrations that make the solution work in practice.

The conclusion (without filter)

Don't be fooled by demos. Don't buy into the hype.

Use the checklist above – and choose a provider who can actually do this.

Want to know what a Voice Threll sounds like in your company? We're just one call away.

Frequently asked questions

Ask for it in writing, and ask for names. A quote that says "in Europe" without naming the region and the subprocessors that touch the audio is a promise, not the documentation the data security point asks for. Ask where the voice travels during the call as well, not only where the recording finally rests, because a conversation can pass through several links before it is fully processed. If you cannot get those names on paper, you have effectively been told "USA somewhere".

Call the agent from an ordinary phone, record the call, and measure the gap from the moment you stop speaking to the first sound of the reply. That gap is what the customer feels, and past 1–2 seconds the conversation reads as a walkie-talkie no matter what a dashboard reports. Test a question that requires a lookup in your CRM too, not just the opening greeting: a reply that has to fetch data somewhere takes longer than a rehearsed hello. You need no access to the system to measure this.

Move the test out of the meeting room. Call in from a car in traffic, from somewhere with poor coverage, on cheap headphones, with noise around you — the everyday your customers actually call from. An agent trained on clean, tidy recordings falls apart here first, and this is exactly what separates the dealership from the road. Run the test on the same phone line your customers will use, not in a browser demo.

Breadth and depth are not the same thing, and a hundred languages on a list says nothing about how well any one of them has been handled. Ask what they have actually done for each language you sell in: how they labeled speech in it, whether the agent is tuned to that market, and whether the model holds anything beyond the written standard. Then test it yourself by having colleagues with the dialects your customers actually speak call in and use jargon from your industry. If it only copes with the written standard, it does not cope with your customer base.

Settle this before you sign, because it is where the line runs between an advisor and a glorified chatbot with a microphone. Ask which of the three are included, who writes and maintains the manuscript when it has to change, and whether the finetuning is really done on your industry and your language. If all you get is a text box to type in, you bought the tool and not the work.

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