The 'death' of back-office jobs: office work in the AI storm
From insurance payouts to banking, AI is taking over tasks that once took hours or days of human work – which office jobs are first in line for automation?
In Greece, insurance claims that once took two weeks to process are now completed in just one minute. This dramatic reduction in time is thanks to AI Flows, a document processing and workflow automation tool developed by Archeiothiki, a Greek company. The AI system handles over 1,500 claims daily, reads documents, extracts relevant information, and cross-checks it against insurance policies and rules, enabling 100% case verification and potential fraud detection.
The transformation is not limited to Greece. In banking, AI is used to assess ESG criteria for companies seeking finance. What previously took 16 hours of human labor can now be done in a fraction of the time, influencing the interest rates companies receive. In Greece, AI Flows is applied to around 100 different workflows for ten clients, primarily banks, insurance companies, and healthcare businesses.
Office roles are among the most exposed to the new generation of artificial intelligence, according to the ILO's report Generative AI and Jobs: A Refined Global Index of Occupational Exposure. Administrative and clerical occupations are the most vulnerable, with roughly one in three jobs showing some degree of exposure. In high-income economies, the percentage is even higher, with 30% of workers using AI tools in their jobs.
However, the transition is not just about job loss. According to Archeiothiki executives, automation allows companies to take on tasks previously considered impossible at this scale. For instance, a client that had 50 people working on a single process and faced a year-long backlog now has the entire task completed swiftly.
The next major field for AI implementation may be the public sector in Greece. Archeiothiki has digitized around 15% of the relevant documents for the state, but much of the content remains unusable due to lack of structured data. AI systems can now extract information, cross-check it, and execute entire workflows, shifting automation from repetitive data-entry tasks to a broader range of traditional back office functions.
Written by urgent.news from Euronews's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
