Nearly Half of Mid-Sized Swedish Companies Delay AI Integration in Finance Despite Anticipated Standardization

Despite high confidence in AI's future role, nearly half of Sweden’s mid-sized companies have yet to adopt AI in finance, with experts outlining actionable steps for successful integration.

    Key details

  • • Nearly 50% of mid-sized companies have not adopted AI in finance departments.
  • • 80% believe AI will soon become standard practice.
  • • Barriers include time constraints, lack of expertise, and reliance on software vendors.
  • • Five-step approach recommended: mapping, standardization, testing, pilot with oversight, and scaling.

A recent series of reports by Kleer reveal that almost 50% of mid-sized companies in Sweden have yet to implement AI tools in their finance departments. However, the majority—80% of surveyed companies—believe AI will soon become a standard element of financial operations. Pontus Björnsson, CEO of Kleer, attributes the slow adoption not to reluctance but to time limitations, uncertainty about necessary competencies, and an expectation that software providers will handle AI integration challenges.

To overcome these barriers and harness AI effectively, Björnsson outlines five essential steps for integrating AI into finance functions: 1) Map time usage to pinpoint inefficiencies and repetitive tasks ideal for AI; 2) Ensure foundational processes are standardized with centralized, real-time data; 3) Begin with a limited test area to increase success potential; 4) Run a pilot program supervised by humans for training and verification; and 5) Strategize for scaling the successful AI solutions across the organization, with clear ownership among stakeholders.

Selecting the appropriate system partner is critical. Kleer’s all-in-one financial system, equipped with open APIs and automation capabilities, facilitates seamless AI integration. This approach allows companies to transition away from traditional monthly or yearly financial cycles and move toward a real-time economy, freeing finance professionals to focus more on strategic analysis and less on routine tasks.

This insight into AI adoption challenges and pragmatic implementation steps provides Swedish mid-sized firms a clear roadmap towards modernizing their finance operations and staying competitive in an increasingly AI-driven environment.

This article was synthesized and translated from native language sources to provide English-speaking readers with local perspectives.

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