Mid-Sized Swedish Companies Lagging in AI Adoption in Finance, Despite High Expectations
Despite expectations that AI will become standard, nearly half of Swedish mid-sized companies have not yet adopted AI in their finance departments, with experts outlining key steps to ease integration.
- • Almost 50% of mid-sized Swedish companies have yet to implement AI in finance departments.
- • 80% of companies believe AI will become standard in finance within a few years.
- • Pontus Björnsson outlines five steps for AI integration: mapping time usage, foundational processes, limited test, pilot with oversight, and scaling.
- • Choosing system partners with open APIs is critical for effective AI adoption.
Key details
Nearly half of Sweden's mid-sized companies have yet to implement artificial intelligence (AI) tools in their finance departments, according to the "AI i ekonomifunktionen" report by Kleer. Despite this slow uptake, around 80% of these companies believe AI will become a standard feature in finance operations within a few years.
Pontus Björnsson, CEO of Kleer, explains that the hesitation to adopt AI is less about reluctance and more due to time constraints, uncertainty about skill sets, and reliance on software providers to handle integration. To assist companies in adopting AI effectively, Björnsson outlines five critical steps: (1) mapping where time is lost within finance functions to identify tasks suitable for AI automation, (2) establishing foundational elements such as standardized processes and real-time data flows, (3) choosing a limited test area to ensure manageable implementation, (4) running pilot programs with human oversight to validate AI performance, and (5) planning for scaling successful AI implementations across the organization.
The choice of system partner also plays a vital role, with open APIs essential for seamless AI integration and consistent data architecture. Björnsson emphasizes that AI can transform finance departments from periodic, cyclical operations into real-time functions, freeing professionals from repetitive tasks and allowing them to focus on analysis and strategic decision-making.
This article was synthesized and translated from native language sources to provide English-speaking readers with local perspectives.
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