The solution forms part of the fast growing Clue Marketplace, where investigators can go to identify specialist plug-and-play technology that works with Clue.
With AutoEntry, financial investigators using Clue can:
- Access an accurate and secure bank statement recognition solution, on-demand
- Rapidly automate data entry from bank statements into Excel spreadsheets, or Clue
- Significantly reduce administrative burdens and spend more time on data analysis
After running a trial, Clue found that using AutoEntry is:
- Up to twenty times more efficient than entering data manually
- Up to ten times more efficient than alternative solutions
Revolutionising the investigation process
Clue is a market leader in investigation case management and intelligence software and a trusted service provider to the police, government bodies, non-profit and private organisations. Clue’s platform offers reporting, searching and analytics, to provide data-driven insights during investigations. Its powerful search and discovery functionality means investigators can undertake deep analysis without deferring to data specialists and specialist tools.
Working smarter with automation
Financial investigators often need to process thousands of paper documents, namely bank statements, to analyse transactional data and uncover new lines of enquiry during cases. However, investigators had traditionally been challenged by this process. Manually typing up data was acutely inefficient, and alternative solutions often required some form of manual reconciliation. Therefore, Clue wanted to partner with a specialist solution provider to enable investigators to automate data entry from bank statements into Excel spreadsheets and into Clue. Inbuilt algorithms in Clue can then harness that data to uncover links between different information sources, including purchase history, location and bank accounts, to help build cases.
“Investigators can use AutoEntry to accurately automate data entry from large batches of documents, including bank statements, during investigations. This means our users can spend more time analysing data sets rather than compiling them, thereby becoming significantly more productive in complex and fast moving cases.”
Clue ran a trial with the product and was impressed with the speed and accuracy of the OCR-based software, which outperformed other industry solutions. Via its web or mobile app, the product enables users to capture information from scanned and photographed bank statements and export this data accurately into Excel or Clue. In cases of fraud, organised crime or money laundering, statements can often be issued from multiple banks worldwide. AutoEntry is able to seamlessly ‘recognise’ templates from different banks, enter the balance and check the totals without any manual input. Converting data from paper bank statements has become up to twenty times more efficient than by hand, and up to ten times more efficient than alternative solutions. This means financial investigators can focus less time on paperwork and more time on higher value analytical work.
An on-demand service growth
As AutoEntry offers a flexible, pay-as-you-go billing system, clients are only changed for what they use. This means Clue’s clients can leverage the product on a case-by-case basis, without signing up to expensive fixed fees or restrictive monthly contracts.
Connected intelligence to support the future of investigations
AutoEntry will form part of the fast growing Clue Marketplace, where investigators can go to identify specialist technology that can plug into Clue. Clue will increasingly leverage specialist technology for social media, natural language chatbots, facial recognition, digital forensics, document management and more; to help clients work more efficiently through digital innovation. Clue will use Application Programming Interfaces (APIs) to connect third party applications to its software; generating data-driven insights to keep its clients one step ahead of crime.
For further information, see full Autoentry case study here
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