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.

Every website chat gets two kinds of visitors: people who need help, and people who are about to become customers. Treat...
06/10/2026

Every website chat gets two kinds of visitors: people who need help, and people who are about to become customers. Treat them the same, and good leads end up waiting in a support queue.

In Lynes, an AI agent sorts that out from the first message, around the clock. It answers incoming chats, figures out what the visitor actually needs and acts on it:

• Sales lead? It answers the first questions, checks that the visitor actually wants to be called and passes the request on to sales. When your salesperson calls, the customer is expecting it.
• Support case? It solves the recurring questions on the spot and passes the trickier ones to the right person in your team, with a summary so nobody has to start from scratch.

The AI handles what it can. Your people handle the conversations where a human makes the difference.

Curious how it would work on your website? See how AI agents work in Lynes: https://lynes.io/en/ai

Ask a customer service team how their customers feel and you'll usually get a confident answer. Ask how they know, and i...
01/10/2026

Ask a customer service team how their customers feel and you'll usually get a confident answer. Ask how they know, and it tends to get a little quieter. A few memorable calls, the odd survey reply and a general sense that things are going fine. That's a hunch dressed up as insight.

The annoying part is that the answers are already there. Every day, customers tell you what they need, what isn't working and how they feel about it. It just disappears when the call ends.

That's why we built Conversation Intelligence into Lynes. Calls are transcribed and summarised automatically, and then two things happen:

Auto Labels tag calls based on what you've asked the AI to listen for, like a frustrated customer, a contract question or interest in a specific service.
Sentiment shows whether the customer left the call positive, neutral or negative. No survey needed.

So the next time someone at the Monday meeting says customers seem happy, you can actually check.

Swipe through the carousel and be honest: how much of what you know about your customers today is data, and how much is gut feeling?

Nestit Group has chosen lynes as their primary platform for telephony, PBX, AI and contact center, and the agreement is ...
14/09/2026

Nestit Group has chosen lynes as their primary platform for telephony, PBX, AI and contact center, and the agreement is now signed.

What makes this one worth sharing isn't the size of it, it's what the selection process says. Nestit ran a proper procurement and looked at functionality, scalability, security and how well a platform actually works when it's sold and delivered through a lot of local companies. A platform built for direct sales rarely bends into a partner business, no matter how good the product is.

lynes was built the other way around, for the partner from day one, with all AI developed by our own teams and living in the same app as the PBX and the contact center. A group like Nestit landing there after a structured evaluation is the kind of proof that carries more weight than anything we say about ourselves.

Thank you for the trust, Nestit. Now the fun part starts.

10/09/2026

Someone gets in touch at 02:14. Not because they are difficult, but because that was when they had time, or when the problem showed up, or because they are in a timezone where it is the middle of the afternoon.

Most companies handle this by hoping it can wait. The customer gets an autoreply, the message sits until morning, and someone picks it up eight hours later with no idea what has already been said.

With lynes, an AI agent takes it. Simple questions get answered and closed, right there. Anything that needs a person gets a ticket with the conversation and a summary attached, waiting for whoever opens their laptop first.

That second part is the one worth paying attention to. Always open is a nice promise, but the real value shows up in the morning. Your team does not start the day reading through what happened overnight. They start it with the overnight work already sorted, some of it finished and the rest ready to pick up.

Customer service that never sleeps only counts if your team still gets to.

Ask five people on a support team what they should work on next and you will get five answers.Not because anyone is conf...
08/09/2026

Ask five people on a support team what they should work on next and you will get five answers.

Not because anyone is confused, but because everyone has built their own way of looking at the queue. One sorts by age, one watches a specific customer, one has learned that anything with a certain tag is urgent. It works, right up until someone is off sick and nobody else can find what they were tracking.

In lynes you can combine filters in Workspace, save the result as a view and share it with the organization. Escalated tickets from key accounts. Everything untouched for two days. Whatever your team actually needs to watch. Once it exists, it is one click for everyone, not a filter setup each person has to remember.

The point is not that filters are new. The point is that a saved view turns one person's system for staying on top of things into something the whole team can use.

Priorities are easier to agree on when everyone is looking at the same list.

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.

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Vallgatan 1D
Stockholm
17067

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