Lynes Technologies

Lynes Technologies Lynes är kommunikationslösning för ditt företag. Det gör att du kan hålla videomöten, ta emot samtal, Vi skräddarsyr växeln efter era önskemål och behov.

Lynes är ett företag som levererar en operatörsoberoende molnbaserad telefonväxel. Med lynes har ni alltid de senaste funktionerna.

27/08/2026

If your company measures conversations at all, it measures the contact center. Volumes, response times, resolution rates. Solid numbers, and they cover maybe a fraction of the calls your company actually has.

The rest happen on direct numbers. A salesperson taking a pricing question. An account manager hearing that a contract is up for review. Someone in ops getting told about a problem three weeks before it becomes a ticket. All real conversations, all containing something the company would want to know, all disappearing the moment the call ends.

lynes Conversation Intelligence works on personal numbers too, not just contact center calls. The call gets transcribed and labelled automatically, so it becomes something searchable rather than something remembered. With labels the important ones surface instead of sitting in someone's call log.

The contact center was never where your most valuable conversations happened. It was just the only place you could see them.

Everyone agrees on the division of labour by now. AI takes the repetitive questions, humans take the difficult ones. Fin...
25/08/2026

Everyone agrees on the division of labour by now. AI takes the repetitive questions, humans take the difficult ones. Fine. Nobody argues with that anymore.

The part nobody talks about is the handover, which is where most AI in customer service actually falls apart. The AI tries, fails, and drops the customer into a queue with nothing attached. So the customer explains the whole thing again, this time to a person, and now they have spent longer than if the AI had never picked up.

That is not AI and humans working side by side. That is AI and humans working in sequence, badly.

In lynes, when an AI agent escalates, it hands over a summary of what was already said and what it tried. The agent picks up knowing the situation. The customer does not start over.

We also let you decide how much the AI handles, rather than deciding for you. Some teams start at a small share and move up as they see how it goes. That is not a limitation. It is what working side by side actually requires.

Side by side is not a split of the work. It is what happens in the seconds between them.

20/08/2026

In most systems, the channel is the container. Email lives in an email thread, chat lives in a chat log, the call lives in a call record if it lives anywhere at all.

Which means a customer who writes, then calls, then replies to your reply has created three separate objects in your system. They experienced one conversation. You stored three.

That is why nobody can answer "what happened with this customer" without opening four tabs and guessing at the order.

In lynes contact center, the ticket is the container. Email, chat, SMS and phone calls land in the same ticket, in sequence. The call gets transcribed and summarized automatically, so the phone part is readable rather than just a timestamp and a duration.

The result is not a shorter workday, although it usually is. It is that the history of a customer relationship stops depending on who happened to handle which part of it.

All channels. One ticket.

🔗 Link in comments

Every conversation about AI agents right now is about customers. Almost none of it is about your own staff.Which is odd,...
18/08/2026

Every conversation about AI agents right now is about customers. Almost none of it is about your own staff.

Which is odd, because the questions arriving internally are even more repetitive. How many vacation days do I have left. Who approves this expense. What is the policy on remote work. Where do I find the onboarding doc. Every one of them interrupts whoever happens to sit closest, and none of them get measured or logged anywhere.

In lynes you can point an AI agent inward instead. We built one called HR-Lina that answers questions about holidays, wellness and policy, trained on our own material, available whenever someone needs it. No external system, no separate app, no project. Same platform as everything else.

The interesting part is not that it saves HR some time, although it does. It is that internal support is the one queue nobody has ever thought to look at.

Your customers are not the only ones waiting for an answer.

You can probably tell me exactly how many people opened your last newsletter.Now tell me what customers called about las...
12/08/2026

You can probably tell me exactly how many people opened your last newsletter.

Now tell me what customers called about last week.

Most companies have dashboards for everything that happens in writing and almost nothing for what happens on the phone. Which is strange, because the phone is where customers go when something is urgent, complicated or expensive. The most valuable information a company gets all week arrives by voice, and then evaporates the moment someone hangs up.

That is what our Conversation Intelligence is for. It listens to the call, summarizes what was said and writes it into the ticket automatically. It also applies labels to the conversation, so calls get categorized as they happen rather than never.

Which means you can look at the statistics and see what people actually called about. Not a sample, not a hunch from whoever answered the most phones. The real distribution, week over week.

The immediate win is that nobody types up notes after a call. The bigger one is that voice stops being the channel you run on instinct.

Every other channel gives you data. Now voice does too.

Link in the comments.

If you have three people answering support from a shared inbox, you are running a contact center. You just are not runni...
11/08/2026

If you have three people answering support from a shared inbox, you are running a contact center. You just are not running it very well.

That is not a dig. It is what happens when a company grows past the point where one person remembers everything, but has not reached the point where anyone thinks the words "contact center" apply to them. Those words sound like headsets, 40 agents and a six month implementation project, so nobody goes looking.

Meanwhile the actual work looks like this: someone claims a mail by replying to it, two people answer the same customer, calls get handled outside the inbox entirely, and nobody can say how long anything took because there is nothing measuring it.

lynes Contact Center is built for exactly that stage. Calls, chat and email land in the same place. Tickets get assigned automatically instead of by whoever gets there first. AI writes the summary and the ticket after a call so nobody types up notes. You can see what came in and what it took to solve.

You do not need 40 agents to deserve a system. You need more than three people and a shared inbox.

Link in the comments.

Every AI vendor in customer service wants to talk about deflection rate.The share of tickets handled without a human. Hi...
07/08/2026

Every AI vendor in customer service wants to talk about deflection rate.

The share of tickets handled without a human. Higher is better, apparently.

It is a strange thing to optimize for. A customer who gave up and stopped asking counts as a success. So does one who got a confident wrong answer and will call back angrier on Thursday.

We build lynes AI the other way around. The AI answers what it can answer well, and hands over everything else with the full context attached, so the agent starts the conversation already knowing what it is about.

That gives us a worse deflection rate. It also gives us customers who actually got their problem solved, and agents who spend their day on the conversations that need a person.

Pick the metric that survives a follow-up question.

If your AI vendor leads with deflection, ask what happened to the deflected.

Link in comments

Most companies do not have a communication problem. They have a context problem.A customer conversation starts as a web ...
05/08/2026

Most companies do not have a communication problem. They have a context problem.

A customer conversation starts as a web chat, moves to a phone call, gets discussed in an internal chat and ends up half-summarized in someone's inbox. Every step works on its own.

Together they mean nobody has the full story, and the customer has to tell it again.
In lynes, all of it runs on one platform. Internal chat, contact center, email, web chat and calls. Not connected. The same. Which means the agent picking up the phone already has the history in front of them.

On top of that, our Conversation Intelligence listens to calls, summarizes what was said and writes what needs to happen into the ticket. Nobody types up notes after a call.

You can integrate tools. You cannot integrate context back into a system that was never built to hold it.

One platform. Every conversation.

🔗 https://eu1.hubs.ly/H0xrG8B0

Every contact center still asks the same question when the queue gets long: "should we add more agents?"Wrong question.T...
04/08/2026

Every contact center still asks the same question when the queue gets long: "should we add more agents?"

Wrong question.

The queue itself is the design flaw. It exists because voice used to be a human-only channel with a fixed capacity. Add more calls than humans, and something has to wait. So we built menus, hold music and callback promises to make the waiting less painful.

None of that is a solution. It is a workaround for a limitation that no longer exists.
At lynes we have been shipping the alternative for a while now.

When a customer calls, an AI telephonist picks up immediately, understands what the call is actually about and either resolves it, routes it with full context, or hands it to the right human with a summary already attached. No menu tree, no seven-minute hold, no "your call is important to us."

A few things worth pointing out:
- The AI is not there to replace agents. It is there to make sure agents only handle the calls that need a human.
- It works around the clock, which means the queue at 08:03 on Monday morning is not a queue at all.
- Every call becomes a ticket automatically. Nothing gets lost between the call and the CRM.

Voice is not the problem. The queue is.

And the queue is optional now.

Curious how it looks in practice?

🔗 https://eu1.hubs.ly/H0xqpw90

It's 7:42 on a Tuesday. Someone's trying to reach you. A quick question before they commit, a small thing standing betwe...
29/07/2026

It's 7:42 on a Tuesday. Someone's trying to reach you. A quick question before they commit, a small thing standing between them and a yes. But the lines don't open for another eighteen minutes.

So they do what most people do. They hang up, and they call the next company on the list.

That's the thing nobody sees on a report. Not the calls you missed, but the ones that never became anything. The customer who needed an answer at exactly the moment there was no one to give it.

This is where an AI voice can quietly earn its place. Not to replace the people who answer, but to make sure someone always does.

It picks up when the office is closed, when everyone's already on a call, when it's 7:42 and the phones aren't officially open yet.

It answers the simple things, points people in the right direction, and takes down what matters so a human can follow up, instead of that call turning into silence and a lost customer.

The goal was never to have a robot talk to your customers. It's to make sure the door is never locked when someone knocks.

👇 Try it Yourself
https://eu1.hubs.ly/H0wDlR_0

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