Question: Can you recommend a platform that uses AI to categorize transactions and minimize manual work?

If you're looking for a platform that uses AI to categorize transactions and reduce manual labor, Nanonets is a great option. It's AI-based automation platform that can extract insights from unstructured data from documents, emails and databases. It's particularly useful for industries like finance, manufacturing and healthcare, where it can automate accounts payable and supply chain optimization tasks for better accuracy and productivity.

If you're focused on invoicing and accounts payable, Vic.ai is another top contender. It uses advanced AI to automate invoice processing, including autonomous PO matching and approval workflows. Vic.ai also integrates with leading ERP systems for faster invoice processing and less manual labor, making it a good choice for finance teams looking to increase productivity and make better financial decisions.

Another contender is Ocrolus, which uses AI to classify, extract and analyze financial documents with high accuracy. It uses machine learning-based classification and provides deep insights into cash flow and income, which makes it well suited for industries like small business lending and consumer lending. Ocrolus can handle a broad range of document types and has bank-level security and an audit trail.

ABBYY is also worth a look for its intelligent document processing and data extraction abilities. With features like process intelligence and a low-code/no-code platform, ABBYY automates document-centric processes like accounts payable and customer onboarding. Its high capture accuracy and ability to extract complex fields means it's a good choice for businesses looking to free up time and make better decisions through automation.