Vad fan ska jag ha AI till?

Many companies still dismiss robotics as pure science fiction. In this week's episode, I sit down with Long Hei Roy Lim to discuss what the reality actually looks like. His company, temi Robots, has already sold over 14,000 units across 33 countries, building AI-driven automation solutions that are currently transforming everything from healthcare to retail. The focus is entirely on open platforms where robots are adapted to help humans work smarter, rather than replacing them.
We break down concrete use cases from the operational reality and look at how their ecosystem allows companies to tailor solutions to their specific needs. We discuss telemedicine in Spain and the U.S. where patient wait times have been cut from hours to minutes, AI-driven inspection systems in manufacturing, and autonomous guides in European supermarkets. A central insight is how accessible the technology has become today; we are talking about lightweight, adaptable robots costing just a few thousand euros that are fundamentally redrawing the landscape across multiple industries.
The strategic crossroad is clear: ignoring this development means deliberately stagnating. The global market is growing rapidly, and the real differentiator lies in how we implement and build systems that work alongside employees. The conversation boils down to the importance of digital collaboration—using intelligent hardware to scale human potential and build lasting competitive advantages. This is an episode for those of you who want to understand how AI and robotics are actually creating measurable value today.
Roy Linkedin:
https://www.linkedin.com/in/limlonghei
Temi Robots website:
https://www.robotemi.com/

Most e-commerce brands are currently stuck with rigid chatbots that frustrate customers rather than create actual value. In this week’s episode, I sit down with Victor Maae Jensen from Diverge to discuss how the next generation of AI-driven customer service actually works in production. We break down how to move from reactive responses to building proactive agents capable of operating across business systems, handling everything from order management to personalized recommendations.
We dive deep into a concrete case where Victor's team rebuilt the customer service architecture for the retail giant Boost. Dealing with a highly complex inventory of over 900,000 products, they managed to build and deploy the platform in just eight days. The result was an escalation rate of only 0.9 percent, in an industry where the average typically sits between 10 and 40 percent. We also discuss the strategic crossroad of knowing when to build your own AI infrastructure for full control versus when to rely on off-the-shelf SaaS solutions.
The most important takeaway from our conversation is that the primary purpose of AI in customer support is not to automate away the workforce. It is about redefining the entire experience and equipping the team with the right tools to build stronger customer relationships at a fraction of the historical cost. This is an episode for those of you driving e-commerce or tech development who want to understand how intelligent system architecture creates a genuine competitive advantage.

Victor LinkedIn:
https://www.linkedin.com/in/victormaaejensen/
Diverge:
https://askdiverge.ai/

There is a constant discussion about the potential of AI, but far too little about the actual architecture behind a successful implementation. In this week’s episode, I sit down with Konrad Jelen, who works with Kolomolo and StackRails, to break down exactly what it takes to integrate AI into large, complex organizations.
With decades of operational experience in data science and business automation, Konrad shares concrete frameworks for moving from isolated experiments to measurable business impact. We review real-world cases from Swedish enterprise companies in telecom and finance, where the right system architecture has reduced manual work by over 90 percent and identified anomalies with 98 percent accuracy. The focus is entirely on building systems that genuinely optimize the business and automate processes at scale.
A major part of the conversation revolves around security, governance, and control. Rolling out AI in production requires a robust infrastructure. Konrad shares insights into how organizations can develop, monitor, and govern AI solutions at scale with full compliance, as well as the technical requirements for making it happen.
This is an episode for those of you who drive AI initiatives or lead data science teams and want to stop guessing. It provides a concrete blueprint of how leading companies actually build and scale their systems in production.
Links and resources from the episode:
StackRails platform: https://stackrails.ai/

Groundrails (The open-source grounding solution): https://github.com/stellarshenson/groundrails
Konrad LinkedIn:
https://www.linkedin.com/in/konradjelen/

De flesta bolag misslyckas totalt när de försöker använda AI för att bygga relationer.

Det blir kallt. Det blir opersonligt. Det skadar varumärket.

I veckans avsnitt sätter jag mig med Kevin Östlin, vd och medgrundare av Andsend.

Han exekverar på ett helt annat sätt.

Andsend har byggt en plattform som använder AI för att förstärka mänskliga relationer, inte ersätta dem.

Vi pratar om varför den traditionella säljprocessen är utdaterad och hur du automatiserar bort det repetitiva skräpet för att frigöra tid till det som faktiskt stänger affärer. Det mänskliga mötet.

I avsnittet bryter vi ner mekaniken:

Hur du underhåller hundratals aktiva relationer och förblir "top of mind" utan manuellt slitage.

Hur AI identifierar exakt rätt kontakter, formulerar personliga meddelanden och väcker kalla leads till liv.

Varför mänsklig översyn fortfarande är avgörande för konvertering.

Extrem exekvering: hur teamet skalade från 20 till 100 produktreleaser i veckan.

Hur du använder AI som din egen relationsexpert för att driva tillväxt i B2B.

Många tror att automation gör affärer kallare.
De har fel.

Rätt använd AI gör att du kan bygga djupare och mer meningsfulla relationer. Snabbare, smartare och med en bråkdel av ansträngningen.

Oavsett om du är grundare, säljare eller bygger nätverk – om du vill skala dina relationer utan att förlora den mänskliga touchen, är det här avsnittet din playbook.

Kevin Linkedin:
https://www.linkedin.com/in/kevinostlin/
Andsend
Www.andsend.com

De flesta bolag sitter fortfarande fast i fasen: “Vi ska bara utreda lite till.”Strategidokumenten växer, men exekveringen står helt still.
I veckans poddavsnitt sätter jag mig med Hanna Bjuhr.Vi pratar inte om AI som luddig hype. Vi pratar om AI som hävstång.
AI är inte ett sidoprojekt för några få entusiaster. Det är ett verktyg som ska rakt in i kärnverksamheten. I möten. I processer. I ledningsgruppens beslutsfattande.
Hanna bryter ner mekaniken och vi går igenom:
AI-driven processutveckling inom tillverkande industri.

Hur man applicerar 10-20-70-metoden i produktion.

Varför vissa bolag når över 90 % aktiv AI-användning, medan andra fortfarande gissar.

Den absolut hårdaste insikten?Tekniken är sällan flaskhalsen. Flaskhalsen är bristen på intern struktur.Om ni inte ens vet hur ni jobbar idag, kommer AI aldrig att kunna hjälpa er imorgon.
Hannas råd är skoningslöst enkelt. Släpp kraven på en massiv AI-strategi. Börja exakt där det gör ont:
Vad stjäl tid?

Vad skapar intern frustration?

Vad är repetitivt skräp som upprepas varje vecka?

Oavsett om du leder team eller bygger bolag – om ni pratar mycket om AI men exekverar för lite, är det här avsnittet er reality check.
AI kommer inte magiskt att rädda ditt företag.Men om ni exekverar rätt, kommer det att fullständigt transformera hur ni arbetar.