We leverage the latest Artificial Intelligence (AI) and Machine Learning (ML) techniques, and couple them with advanced, secure data tagging to analyze and cross-correlate both structured and unstructured data.
This deep analysis and data correlation permits us to speed financial analysis and business intelligence reporting, improving business outcomes for our clients.
We founded Vigilant AI to automate, accelerate and augment time consuming human financial analysis, ensuring completeness, accuracy, and timeliness in reporting. Current approaches to financial analysis can no longer deal with the the amount of data being produced today. We believe in the powerful benefits that AI can bring to helping accountants and financial analysts overcome this issue of data size and complexity.
Correct and accurate recording of transactions
We leverage the latest Artificial Intelligence (AI) and Machine Learning (ML) techniques, and couple them with advanced, secure data architectures to analyze and cross-correlate both structured and unstructured data.
This deep analysis and correlation of data helps to speed critical financial analysis and business intelligence, improving business outcomes for our clients.
Simply put we are on a mission to disrupt the approach that organizations use in their financial analyses, all the while building repeatable models to help organizations continue to monitor loss while continuing to explore other areas of concern or interest.
Using current approaches, it takes between 12-18 months for organizations, particularly supply chain operators, to identify loses caused by errors, overspending or inefficiencies.
This cumbersome and labor-intensive analysis approach allows millions to bleed from organizations annually, and the analysis-lag creates friction in the vendor ecosystem. It’s our goal to speed the way that cost recovery is performed by harnessing the latest AI and ML technology to solve these problems.
Our AI driven approach allows organizations to automate the analysis of all the available text and financial data to rapidly discover and verify claims, reduce friction with their stakeholders, and in turn, increase their cashflow by allowing operators to take advantage of the time value of their money recovered.