How a leading energy and infrastructure company cut document processing time by 80% with AI
Challenge: Scattered knowledge, high compliance risk
Our client faced the challenge of managing historical knowledge scattered across more than 220,000 partially handwritten documents in multiple languages. This involved determining their validity, necessity, and whether any pertinent legal requirements had evolved. Manual processing of this immense volume of documents would have required approximately 10 years of work, and existing off-the-shelf solutions proved inadequate.
How we helped
We employed multiple ML algorithms to analyze the unstructured data to address this challenge. The solution we created automatically extracts and categorizes information, presenting it on a user-friendly dashboard for employee review or seamless integration into SAP systems.
An accuracy KPI quantifies the reliability of the generated answers, while continuous feedback from employees facilitates the iterative improvement of the ML model over time.
The impact: Driving efficiency and compliance with AI
- The solution significantly reduced time spent accessing historical insights, with an impressive accuracy rate of 97%, and reduced extraction time by 80%.
- Reduced friction during company reorganization and digitization efforts, resulting in smoother transitions and streamlined processes.
- Fostered employee trust in AI to transition to an AI-driven company
