According to McKinsey’s 2024 Digital Office Study, employees working with Notes AI reduced daily information retrieval by 63%, and doubled knowledge reuse to 4.7 times the rate of humans by cross-document correlation in nine languages supported semantic search engines. In a real case, Deloitte’s audit professionals leveraged Notes AI’s smart intelligent tagging to raise the accuracy of classifying 200GB of project documents from 68% to 97%, speed up important data retrieval to 3.2 seconds on average/time, and liberate 1,850 hours equivalent of work annually. In the field of healthcare management, after the Cleveland Clinic adopted the electronic medical record management system of Notes AI, paperwork time taken by physicians a day reduced to 37 minutes from 154 minutes, ICD-11 diagnostic code matching rate increased to 99.3% through the NLP powered intelligent coding feature, and medical insurance denial ratio reduced by 41%. Save the annual operating expenses of $4.2 million, the outcome was ranked the top 10 innovative applications of 2023 by The Lancet Digital Health Special issue.
After the installation of the Notes AI smart note-taking system in the education industry, the University of Pennsylvania’s online learning platform statistics indicated that the rate at which student knowledge point to association graphs were constructed increased by 82%, and the personalized review recommendations gained through the behavior analysis algorithm (55 eye movement samples per second) increased the slope of the long-term memory retention curve by 2.1 times. In the production scenario of the factory, Siemens Chengdu factory used the Notes AI device log analysis module to optimize the analysis efficiency of 15TB/day sensor data stream into the real-time processing level, abnormal event recognition response time was reduced from 47 minutes to 1.8 minutes, and predictive maintenance model accuracy rate was over 93.5%. This is the same as saving RMB 23 million per year in unplanned downtime. In the legal sector, Linklate Law firm’s contract management system combined Notes AI, the matching speed of standard clause libraries reached 1,200 pages/hour, risk point identification coverage improved 76% over manual, and effectively shortened the review cycle of 100-page M&A agreements from 40 hours to 5 hours, and the error rate was kept below 0.2%.
The retailing giant Walmart’s supply chain department, by utilizing the Notes AI meeting decision tracking system, enhanced the efficiency of cross-department collaboration by 61%, increased the accuracy of the demand forecasting model of system integration (by analyzing 78 influencing factors) to 94.3%, optimized the inventory turnover days from 35 days to 22 days, and freed up working capital by 920 million yuan. According to IDC’s 2024 Smart Office White Paper, companies that have leveraged Notes AI have already achieved 3.9 times industry averages in leveraging knowledge assets, and the underlying technologies are: 1) 28 billion parameter multimodal large model supporting 14 file formats intelligent parsing; 2) Distributed computing engine supporting processing of 3.1TB of unstructured data per second; 3) Semantic network with 73 industry knowledge maps. Amazon AWS collaboration samples show that Notes AI achieved 96% automated classification accuracy in cross-border e-commerce work order processing, customer service response time decreased from 9 minutes and 15 seconds to 1 minute and 33 seconds, customer satisfaction increased by 22 percentage points, and more than $8 million in annual labor cost savings. These observations affirm that Notes AI is transforming organizational effectiveness standards in the online world by recasting the entire sequence of information capture, structurization, and value derivation.