When Lithuanian business owners Google “how to improve company productivity with AI” or “AI automation results in Lithuania,” they usually find empty promises and advertising slogans. Startup blogs are full of anglicisms about “synergy” and “disruptive technologies”, while international corporations talk about abstract multi-million-euro budgets that sound like science fiction to the average Lithuanian business.
Reality is very different. Today’s Lithuanian business environment is tense: wages keep rising, qualified workers are in short supply across every sector, and customer expectations for speed and quality are higher than ever. Five years ago, you could hire three administrators on minimum wage to answer phone calls all day. Today, that is not only expensive – it is practically impossible, because nobody wants to do that kind of monotonous work anymore.
Real, profit-generating Artificial Intelligence does not look like a robot from a Hollywood movie. It looks like a quiet system working 24/7 that does not take weekends off, does not get sick, does not step out for a cigarette break, and happily takes over the grunt work your team hates.
According to McKinsey’s 2025 reports, 80% of companies are already experimenting with AI technologies, but a strikingly small share – only 39% – see real financial (EBIT) impact at the company level. Why is there such a wide gap between expectations and reality? Because most executives use generic ChatGPT tools for writing text or play with cheap APIs instead of solving foundational business problems.
Today, we are taking off the rose-colored glasses and looking at the facts. Here are 3 completely real, detailed cases (company identities are protected by strict NDAs) showing how Lithuanian companies used the POSKAI platform to fundamentally change the rules of the game, reduce costs, and open new revenue streams.
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1. A logistics company in Klaipėda: When 150 truck drivers forget at night how to use a fuel card
Situation: A nighttime nightmare, language barriers, and burned-out dispatchers
Imagine a typical Tuesday night at a mid-sized logistics company in Klaipėda. This company operates more than 150 modern trucks, with routes stretching from Lithuania all the way to Southern Germany, Scandinavia, Poland, the Netherlands, and France. Lithuania’s transport sector is currently short by around 30,000 drivers, so the people behind the wheel are an incredibly mixed group. They are no longer just Lithuanians: the company employs Ukrainians, Poles, and a growing share of workers from India and Central Asia. Most of them speak only very basic English, and not a word of German or French.
At the company’s office in Klaipėda, 4 customer service specialists / dispatchers were working. Their core job should have been strategic route optimization, monitoring freight exchanges, and handling serious problems (for example, accidents or truck breakdowns). But the reality in the office looked very different. 60-70% of all incoming calls sounded like a broken record. The same 20-30 questions, repeated every day by different drivers:
- “Boss, how do I pay road tolls in Poland with the new device?”
- “The DKV fuel card is showing error number 404, the cashier is shouting something in German, what do I do?”
- “Where exactly is the second loading address in Hamburg? Navigation can’t find it.”
- “How do I correctly fill in the CMR for this refrigerated cargo?”
Trying to solve this problem, management had prepared excellent, detailed PDF instructions for all of these issues. But let’s face the facts: would a tired driver standing in the rain at an overcrowded gas station near Munich, trying to communicate in gestures with a shift manager, search through his phone for a 45-page PDF file and try to read it on a small screen? No. It is far faster and easier for him to call a dispatcher.
For the employees on duty, night shifts had become a living hell. The constant stress of answering banal, repetitive questions led to mistakes exactly where focus was truly needed (planning loads) and, ultimately, to high staff turnover. The company’s CEO understood: either they found a way to automate logistics calls, or growth would stop, because they would have to hire another 4-6 dispatchers just to act as live knowledge bases at night and read instructions out loud.
POSKAI solution: An AI knowledge base and human-like multilingual support
The solution was radical, but necessary. The company integrated POSKAI’s multilingual AI assistant. It is important to stress that this was not the old, primitive, everyone-hates-it button-based IVR system (“press 1 if you want to speak Lithuanian, press 2 for Russian”). This was full-fledged POSKAI Artificial Intelligence operating on an “audio-to-audio” principle. It automatically detects the language from the very first word spoken by the caller and switches within a fraction of a second to Lithuanian, English, Ukrainian, Polish, or Hindi.
But the real magic of the system was in the Knowledge Base integration. We “fed” the POSKAI system ALL possible supplier instructions: hundreds of pages of DKV manuals, road toll regulations in different countries, insurance policy terms, accident declaration procedures, and the company’s internal operating rules. The assistant absorbed this information perfectly – it became a walking logistics encyclopedia that knew everything.
What does this look like in practice? Here is a real situation.
A driver from Ukraine calls at 3 a.m.: “Hello, I’m in Austria. The toll device beeps three times when I pass the gate, and a red light is on. What should I do?”
POSKAI voice engine (perfect Ukrainian, with zero delay): “Hello, Serhii. I’ll check that right away. According to the official Go-Maut device instructions, three short beeps mean that your device battery is gradually running low, but the toll charge itself was processed successfully. There is no need to panic or stop the truck – just check during your next planned stop whether the cable is properly plugged into the power socket. Can I help you with anything else related to your current route?”
On top of that, the system included direct integration with the company’s transport management system (TMS) and CRM. Every conversation was not only recorded, but the POSKAI system also automatically transcribed it, created a two-sentence summary, and attached it to the specific truck and driver profile. When the dispatcher came to work in the morning, they saw a clear dashboard of all nighttime events. Even more importantly, managers finally started seeing clear patterns. For example, if 15 different drivers call in one week asking about the same inconvenient gas station in France, the system flags this as an anomaly, and management decides to change the planned refueling point in the route sheet. This not only saves time, but also optimizes fuel costs.
Result: Victory, money saved, and peace at night
- -67% reduction in customer service workload: Dispatchers practically no longer had to answer templated technical questions. Of the 4 employees who used to sit by the phone constantly, only 2 remained there (they now handle only exceptional situations such as accidents), while the other two were moved into far more valuable and profitable freight sourcing and logistics planning roles.
- <30 second response time at night: Previously, during peak hours or at night, drivers waited on the line for 5 to 15 minutes until a dispatcher became available. Now they get an answer after just two rings, 24 hours a day, any day of the week.
- 92% first-resolution rate: POSKAI resolves 9 out of 10 issues on its own, without any live human intervention or escalation.
- Huge driver satisfaction: Unlike dealing with angry, exhausted, or sleep-deprived dispatchers, AI is always empathetic, polite, patient, and, most importantly, speaks the driver’s native language. Drivers are no longer afraid to call with “stupid” questions, which means fewer mistakes and fewer fines on the road.
If you manage a fleet, read more about this on our logistics and transport use-case page.
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2. A veterinary clinic in Vilnius: When every missed call costs patient health and company revenue
Situation: Constant chaos at reception and “forgotten” patients
The veterinary and pet care business in Lithuania has been living through a golden age in recent years. People are spending more and more on their pets; they have become full-fledged family members. This specific, prestigious clinic in Vilnius had 8 excellent, highly qualified veterinarians, 3 modern operating rooms, the latest X-ray equipment... but only 2 receptionists at the front desk.
The clinic’s phone rang more than 200 times a day without stopping. In the mornings, during lunch breaks, and especially after working hours (when people get home and notice a sick animal), the phone line was literally burning. At the same time, the receptionists had to perform an impossible task:
- Welcome arriving, often stressed clients and their barking or meowing pets.
- Take payments and issue invoices.
- Hand the doctors the required files.
- Answer the constantly ringing phone.
This is a physically impossible situation for a human being. Because of this chaos, the clinic, without fully realizing it at first, was losing between 30% and 40% of all incoming calls. And in the highly competitive veterinary market in Vilnius, a missed call means a lost customer. If an owner’s dog is unwell and your clinic does not answer after the third attempt, that person immediately opens Google Search and calls the next clinic on the list. That is lost revenue and lost LTV (Life-Time Value) – a customer who could have stayed with you for ten years goes straight to your competitors.
Even worse, because of time pressure, proactive communication (outbound) simply did not exist at the clinic. After complex surgeries costing thousands of euros, nobody from the clinic would call the client just to ask how the animal was feeling or remind them that they absolutely needed to come back in 3 days to have the wound redressed and the bandages changed. Seasonal items – tick prevention tablets in spring, annual vaccination schedules, deworming procedures – were left entirely to the clients’ own responsibility and memory. Naturally, people immersed in their own busy lives forgot these visits.
On top of that, the receptionists were losing hours and hours answering completely standard, repetitive customer FAQ questions: “Can I give my cat water 2 hours after anesthesia? She is really asking for it.”, “How much exactly does a full blood and urine test cost?”, “Until what time is the surgeon on duty on Saturday?”
POSKAI solution: A 24/7 AI reception desk and a smart proactive calling system
Tired of constant employee complaints about burnout and seeing profitability decline because of missed calls, the clinic’s owner decided it was time to innovate. After a short consultation call, we agreed to implement an AI customer service platform.
We deployed the POSKAI platform immediately in two critical directions:
1. Inbound (Incoming calls):
The POSKAI AI reception desk began operating in 24/7 mode. It has no limits and always answers after 2 rings, even if 10 different people are calling at the same time. The POSKAI system was deeply integrated via API with the clinic’s appointment booking system.
“Hello, this is the virtual assistant of [Clinic Name]. How can I help your pet today?”
If the client asks a standard question about pricing or post-operative care, the AI answers not by guessing, but based on guidelines strictly approved by the head veterinarian. If the person wants to book an examination, the assistant directly sees the real-time calendars of all 8 doctors: “I can see that Doctor Jonas, who specializes in orthopedics, is available on Tuesday at 14:00 and Wednesday at 10:30. Which time works better for you?” After the client’s verbal confirmation, the appointment appears automatically in the doctor’s calendar within milliseconds, and the client receives an SMS confirmation with a map link.
2. Outbound (Outgoing calls and revenue-generating reminders):
This is where the real breakthrough happened in the clinic’s revenue line. POSKAI was configured to make automatic, empathetic follow-up calls.
“Hello, I’m calling from [Clinic Name]. Three days ago, your dog Max had a complex dental cleaning procedure under full anesthesia. We just wanted to check whether he is feeling well, whether he is eating normally, and remind you that tomorrow at 15:00 you have a short free follow-up visit scheduled. Is everything okay, and are you definitely coming?”
In spring, the system automatically scanned the clinic’s entire database and called those clients whose pets’ tick protection had expired (Bravecto or Nexgard tablets). The assistant politely reminded them of the risk and immediately offered to reserve the medication for pickup at reception.
Result: Zero missed calls and exploding sales
- +340% successful bookings from new clients: There were NO missed calls anymore. Even if 5 people called at exactly the same peak moment, POSKAI handled them all in parallel. This immediately showed up in the clinic’s revenue.
- Human resource optimization: Of the 2 constantly stressed receptionists, 1 remained. One employee was promoted to the role of clinic operations manager, while the remaining receptionist now calmly, smilingly interacts only with clients who physically arrive at the clinic, without constant distraction.
- +45% increase in repeat visits (post-operative and seasonal): People feel exceptionally cared for and valued. The clinic began generating consistent revenue from reminders about vaccinations and medications – something it had not been doing at all before.
- +28% jump in NPS (Net Promoter Score): Google Reviews was flooded with 5-star feedback about the clinic’s “incredibly caring staff.” The most interesting part? At least half of the clients who interacted with our naturally sounding POSKAI live audio technology model did not even realize they were speaking to something other than a live human.
Read more about this scenario in our veterinary clinics use-case section.
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3. Furniture manufacturers in Tauragė: Export breakthrough by breaking language barriers and emptying warehouses
Situation: Full warehouses, frozen capital, and limited international potential
This is without question one of our most interesting and inspiring success stories. A high-quality solid wood furniture factory operating in Tauragė with 45 employees found itself in a very difficult, paradoxical position. Lithuania’s furniture industry is one of the region’s largest exporters, generating more than €2.2 billion in export value in 2024. But this specific company faced a critical surplus problem: the production lines were running perfectly, wood supply was secured, product quality was flawless, warehouses were full, but... sales had stalled.
The main problem? Their in-house sales team. It consisted of 3 talented people who spoke Lithuanian, Russian, and Ukrainian perfectly. However, management’s strategic goal was export into the most profitable, high-margin markets: Scandinavia (Sweden, Denmark), Germany, and the United States (especially Chicago and the East Coast, where many importers and wholesalers operate).
Trying to find someone in Tauragė (or even the surrounding districts) who could speak Swedish, German, or Danish fluently, smoothly, and professionally at a B2B negotiation level was mission impossible. Even if they found such a specialist in Vilnius, that person’s salary expectations would consume a large part of the projected profit, with zero guarantee they would actually sell wood products. The team tried sending mass cold emails in English to these markets, but in B2B, emails no longer work: the response rate was disastrous – only around 0.5%. The company’s cash flow began to choke seriously because massive capital was simply “frozen” in warehouses full of finished goods. A fast and aggressive solution was needed.
POSKAI solution: Cold calling in 4 languages at the same time
The company’s owner approached us after reading an article about cold calls with AI. His brief was straightforward: “We urgently need to generate warm leads in the Western European and U.S. wholesale market. Can you help?”
We immediately launched a POSKAI multilingual AI outbound sales agent. Within a few days, the client gathered and provided us with a contact database containing thousands of furniture importers, distributors, hotel chain suppliers, and wholesale representatives around the world.
POSKAI fully took over the psychologically hardest part of sales – prospecting and the initial ice-breaking. The AI assistant tirelessly made 500 calls a day. And these were not templated English-only calls.
Call to Stockholm: POSKAI voice engine speaks perfect, natural Swedish, with the correct intonation.
Call to Munich: POSKAI switches to stricter, more formal, professional German.
The first-call script was designed to be brief, respectful of the client’s time, but highly precise:
“Hello, [Name]. I’ll be very brief. I’m calling directly from a solid wood furniture factory in Lithuania. Before calling, I looked into your company and know that you import premium-class furniture into the German market. At the moment, we have available production capacity for exclusive oak products. Is your company currently looking for new, reliable direct manufacturers from the European Union to reduce logistics risk from Asia and improve your margin?”
If the client replied, “No, thank you, we have suppliers in Poland and we do not want to change anything,” the AI politely ended the conversation and the system immediately removed the contact from the list. For a human, rejection costs emotional energy; AI does it in a millisecond.
If the client replied, “Yes, that sounds interesting, send me your catalog and pricing,” the AI automatically generated and sent the catalog through the CRM platform and scheduled an automatic follow-up call exactly 3 days later: “Hello, this is [Name] again from Lithuania. Have you had a chance to review the catalog we sent yesterday? Which volumes from the collections there would interest you most?”
As soon as the AI platform fully qualified the client (that is, clarified volumes, the specific need, budget, and decision timeline), it handed this already fully “warm” and interested contact over to a live salesperson in Tauragė. Because the German or U.S. representative was already interested in buying, basic English was fully sufficient for the next stage of discussing details and the contract by email – and the Tauragė team already had that capability. The language barrier at the initial trust-building stage was completely eliminated.
Result: Full pockets, new partners, and empty warehouses
- +280% increase in the sales “pipeline”: The company jumped from a miserable 15 potential inquiries per month to an astonishing 57 high-quality, pre-qualified B2B leads.
- New strategic markets: In the first 6 months of cooperation, long-term contracts were signed with 4 permanent wholesale distributors in Scandinavia.
- The big U.S. win: A POSKAI call to Chicago ended in a giant contract with a major U.S. importer. This single contract filled the factory’s production lines for a full year ahead.
- Financial health: The company’s cash flow normalized in just 4 months. The “frozen” warehouses were successfully emptied and turned into cash flow.
- Lightning-fast ROI: The cost of implementing and subscribing to the POSKAI platform for this company fully paid back in exactly 47 days.
Now the Tauragė team does what they do best – closes already prepared deals and takes care of customer satisfaction after the sale, while leaving the dirty, emotionally exhausting work of prospecting to POSKAI Artificial Intelligence. Read more about how multilingual B2B sales work.
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Comparison: Why did these companies choose POSKAI instead of hiring people or trying old IT systems?
Before coming to POSKAI, many businesses follow a traditional, painful route: they either try desperately to hire more people or they buy old, primitive IVR (press 1, press 2) systems or open-source text-to-speech (TTS) robots. Here is why those experiments usually end in disappointment, burned budgets, and why POSKAI worked flawlessly. You can find a more detailed analytical comparison in our article POSKAI vs Human in sales.
| Criteria | POSKAI AI Platform | Human (Hired Employee) | Traditional AI/IVR Systems / Foreign Startups |
|---|---|---|---|
| :--- | :--- | :--- | :--- |
| Operational Capacity | Can handle up to 500+ calls at the same time. No missed calls, even at the largest peak. | 1 call at a time. Gets tired after 50-70 calls and makes mistakes. | 1 call at a time, with customers constantly annoyed by long queue waits. |
| Response speed and naturalness | <500 milliseconds (human pace, zero lag). Understands emotion and pauses. | Depends on workload (often requires waiting 5-15 min in a phone queue). | 2-5 second pauses after every word (robotic, unnatural delay). Sounds like a GPS navigator. |
| Language barrier | Speaks more than 14 languages perfectly and switches language automatically in real time without any button pressing. | Requires hiring expensive native speakers for each market separately. | Usually supports only English well; other languages are distorted with terrible accents. |
| Depth of knowledge (Knowledge Base) | “Reads” 45-page manuals from memory in a second and finds the answer instantly. Makes no factual mistakes. | Needs time to search documents, hesitate, and call the client back later. Can make mistakes. | Answers only pre-programmed “Yes/No” scenarios in a narrow decision tree. Cannot improvise. |
| Monthly cost | Starting from just €500/month (all-inclusive: AI, telephony, support). | From €1500 to €4500 (including taxes, workspace, equipment, training). | Hidden API fees for every minute + huge one-time integration costs. |
| Data security | 100% EU data residency, full GDPR compliance. No data leaks. | Human errors, lost data, malicious contact database leakage after leaving the company. | Often sends sensitive company data to third parties without any encryption. |
Do you see the difference? It is math that cannot be argued with. When you hire a new mid-level employee in Lithuania, you spend at least €2000-3000 per month (including all social taxes, workspace costs, and a computer). In return, you get one person who gets tired quickly, needs paid vacation, gets sick, and eventually starts making expensive mistakes because of fatigue.
The POSKAI platform gives you a super-employee who costs from €500 per month, works 24/7, never asks for days off, speaks 14 languages without an accent, and never apologizes for being sick. This is not replacement – it is an expansion of your company’s capacity.
Our competitors abroad (and sometimes even those calling themselves Lithuanian innovators) still often use the old and slow “text-to-speech” (TTS) technology that sounds like a robot from the 2010s. POSKAI live audio technology understands not only text, but also emotion, pauses, sighs, and responds in the most natural way possible. That is exactly why customers usually do not even realize they are speaking with a system. On top of that, our infrastructure guarantees the highest level of data security. The POSKAI platform is built in line with the strictest EU security requirements, includes protections against “prompt injection” attacks, and ensures EU data residency. Cheap competitor solutions simply cannot offer that.
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Core lessons: What do these three stories have in common?
After analyzing dozens of client success stories, we see a clear pattern. These three companies won because they applied three fundamental rules:
- The courage to acknowledge a painful problem. All three companies understood that the old, traditional methods of growing a business (“let’s just hire one more manager”) no longer work. The demographic situation and continuous wage growth in Lithuania mean that hiring people for repetitive, low-value work simply no longer makes economic sense. It kills business margin. You need to look for technological leverage.
- Focus on the system and the process, not on IT technology itself. None of these companies wanted to “play with AI programming” or become a startup. They wanted a solution that simply works. The POSKAI platform is fully managed from our side – we build it, adapt it to your business specifics, integrate it with your software, and continuously maintain the assistant. A business owner does not need to become an IT engineer.
- Freeing and motivating the sales team. This is perhaps the most important point. After implementing AI assistants, people were not laid off en masse (except for natural turnover among those who wanted to leave on their own). People were elevated into far higher-value roles. Salespeople began focusing only on closing deals, not on making emotionally difficult cold calls. Dispatchers began planning complex logistics and negotiating with clients instead of explaining road toll rules in the middle of the night. Employee motivation rose because they could finally use their brains instead of functioning like robots.
If your employees today spend more than 30% of their valuable time answering the same stupid questions, making templated reminders to customers, or filtering low-quality cold “leads,” your business is literally burning money and wasting potential.
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