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Klarna CEO Sebastian Siemiatkowski: "We Shut Down 1,200 SaaS Including Salesforce. But This Isn't the End of Salesforce."

1. Background of Klarna's SaaS Shutdown

Sebastian Siemiatkowski revealed that Klarna terminated approximately 1,200 SaaS (Software as a Service) tools, including Salesforce, about a year ago. However, he explains that this doesn't mean the demise of Salesforce — it could even mean the opposite.

"We shut down many SaaS tools including Salesforce. But I don't think this is the end of Salesforce. It might even be the opposite."

From early on, Klarna began exploring the potential of AI and LLMs (Large Language Models), particularly ChatGPT. The company encouraged employees to freely experiment with emerging technologies, fostering a culture of naturally developing ideas.

2. The Data Problem: "Shit In, Shit Out"

Initially, many claimed "you can feed all your PDFs and data sources into ChatGPT," but Klarna reconfirmed an old truth from data science.

"Shit in, shit out." (Bad data in means bad results out.)

Klarna realized that enterprise data existed in a fragmented, duplicated, and contradictory state. Feeding such data into an LLM produced only confused results. Klarna began re-examining their data by asking:

  • Which data actually has value?
  • Which data is duplicated or incorrect?
  • Why does the data exist in this state?

3. Inspiration from Wikipedia and Graph Technology

Klarna drew inspiration from Wikipedia's collaborative model. Wikipedia has built a vast knowledge graph through the cooperation of more than 20,000 people, maintaining high quality and accessibility. This led Klarna to explore graph technology and data modeling.

"Wikipedia may be criticized at times, but it remains an incredible achievement — a vast knowledge graph of high quality and accessibility."

Working with a Swedish company, they leveraged technologies like Neo4j to connect and integrate data.

4. Why They Shut Down SaaS: Data Integration and Standardization

Klarna didn't shut down SaaS merely to cut costs. The primary reason was to unify and standardize knowledge and data. Existing SaaS tools caused several problems:

  • Knowledge fragmentation: Documents, slides, tickets, analytics data, etc. were scattered across different SaaS platforms.
  • Operational complexity: Each SaaS had its own concepts and structures, requiring deep Klarna-specific expertise to use effectively.
  • Management burden: Essential functions like auditing, version control, and access management were siloed across different tools, creating inefficiency.

"We didn't shut down SaaS simply to save costs. It was to unify and standardize our knowledge and data."

Ultimately, Klarna developed their own technology stack to integrate data and significantly boost productivity through internal AI.

5. The Salesforce Shutdown and Its Fallout

Klarna had no plans to publicly disclose the shutdown of Salesforce and some other SaaS tools. However, the fact was mentioned during a quarterly investor meeting, and a recording was leaked to the press. This led to rumors that Salesforce had lost Klarna as a client, prompting Salesforce to field questions about it.

"I mentioned in an investor meeting that we'd shut down SaaS including Salesforce, and that recording leaked. It really caught us off guard."

6. The Future of SaaS and Lessons Learned

Sebastian doesn't believe every company will shut down SaaS at the scale Klarna did. Rather, he predicts the SaaS market will likely consolidate further, and companies like Salesforce could have opportunities to offer new forms of SaaS.

"Every SaaS company needs to learn AI, adopt it, and evolve. If they do, tremendous opportunities await."

He also emphasized that it's important for SaaS companies not to lose their original "opinion." Many started with a clear direction but, over time, tried to meet every customer's needs and devolved into mere databases.

"Opinionated software has value. Opinions represent experience about what works and what produces results."

7. Summary and Key Messages

  • Klarna terminated about 1,200 SaaS tools for AI and data integration — a decision driven by knowledge and data unification and standardization rather than cost savings.
  • The Salesforce shutdown was a strategic choice by Klarna, and they don't view Salesforce's future negatively.
  • SaaS companies must evolve for the AI era while maintaining their original direction and opinions.

Key Terms

  • SaaS shutdown
  • AI and LLMs (ChatGPT)
  • Data integration and standardization
  • Neo4j and graph technology
  • Opinionated Software
  • Salesforce
  • AI-first strategy

This article provides insights into how companies should adapt to the AI era through Klarna's data strategy and the background of their SaaS shutdown. It offers significant implications for companies grappling with the future of SaaS and the role of AI.

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