How Much Time You Can Save with AI in Document Management – A Real-World Example

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How much time you can save with AI in document management – a real-world example

Searching for documents costs companies valuable working time every day. Especially in industries with high documentation requirements such as the automotive industry, employees spend countless hours finding and compiling test reports, technical documents or presentations. But how much time can really be saved with artificial intelligence (AI)? Our pilot project shows that the savings potential is enormous.

The pilot case: efficiency gains through AI

In a pilot project with a leading company in the automotive sector (name anonymized for legal reasons), we investigated the impact of AI on document search. The starting situation was clear: many employees spent a considerable part of their working time searching for and compiling relevant documents.

Project framework data:

  • Project type: evaluation / pilot
  • Time saving: 70% less time spent searching for and compiling test reports and documentation
  • Number of documents: 450,000 (PDF, Excel, PowerPoint)
  • Number of users: 5,000 per month

The economic benefit: savings in the millions

The analysis of workflows showed that the 5,000 monthly users spend on average one hour each searching for documents. By using our AI-powered solution, this time was reduced by 70%.

Calculation of the savings:

  • Search time before: 5,000 hours per month
  • Search time after AI implementation: 1,500 hours per month (70% saving)
  • Internal hourly rate: €100
  • Monthly saving: 5,000 × 0.7 × €100 = €350,000
  • Annual saving: €350,000 × 12 = €4.2 million

This means: by using AI, this company could save 4.2 million euros per year – solely through the reduction of search times.

Why AI is the better solution

Many companies still rely on manual document search or simple keyword-based search systems. But AI goes far beyond that:

  • Intelligent search function: the AI understands the context and delivers precise results instead of unstructured hit lists.
  • Automatic document compilation: instead of laboriously searching through individual files, the user receives the relevant sections directly.
  • Linking content: AI recognizes connections between different documents and suggests further relevant files.

Conclusion: AI creates efficiency and saves millions

The pilot project impressively demonstrates the potential hidden in AI-powered document management. The calculated saving of 4.2 million euros per year shows that using AI pays off not only in theory, but also in practice. Companies that want to optimize their document management should act now – and take advantage of smart AI technology.

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