The future of Ops is being taught to us by fintech startup Klarna.
Currently prepping for an IPO, the company has released a series of stunning updates, illuminating an extraordinary set of operational and financial strides achieved with the tools they are building on the back of OpenAI’s GPT models.
Their approach eludes to the opportunities for startups to scale revenue while simultaneously reducing costs by deploying native, AI-centric systems to manage their operations.
Klarna’s new customer-facing AI assistant independently accommodates nearly 70% of their customer requests in only its first few months of rollout.
"Our AI assistant now performs the work of 700 employees, reducing the average resolution time from eleven minutes to just two while maintaining the same customer satisfaction scores as human agents.” Klarna CEO Sebastian Siemiatkowski
Eleven minutes to two. Their repeat inquiries are down 25%.
That’s critically insane (🤖💥🤯🌋).
To be clear, it’s not 700 seats or instances of the application performing the work of 700; it’s a single application performing all the work.
This has enabled the company to reduce customer service headcount by 50% and project their global workforce to drop from approximately 3,800 to 2000 employees in the time ahead. This forecast follows an initial reduction of 1,200 roles from 5,000 to 3,800.
The assistant will drive $40 million in additional profit to the company's bottom line. Revenue per employee has grown by 73% over the past twelve months.
Then, this week, the company announced it has replaced its Salesforce and Workday instances with internally developed AI tools.
I don’t think the general market understands yet how seismic this shift will be. I’m sure I don’t fully comprehend what’s coming, either.
But I do know the current systems so many companies rely upon were built for workflows that required human engagement, which will become irrelevant. It will be difficult for legacy providers to foundationally reshape their offerings without starting from scratch entirely. This creates a significant opportunity for startups.
Looking to large, legacy enterprises for indicators of AI’s immediate value is also a mistake. Like the software companies, their entire structures are designed for workflows and decision-making that won’t make sense anymore. And it will take a long, long time to disassemble these bureaucracies accordingly.
Therefore, if you want to know about the future of Ops as it relates to AI, you have to look at startups and companies that are small, trying to become big.
If you want to understand what the future will be, look to the dreamers trying to build it anew.
The future is coming.
John + Team 6AEP
Big thanks to Linas Beliūnas for all the amazing Klarna coverage. Follow him for incredible Fintech updates and an amazing newsletter!
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