Despite advances in ERP, the corporate finance back office is still largely manual, with global finance teams wasting weeks on mundane, time-consuming tasks.
Auditoria is a pioneer in AI-driven automation solutions that are purpose-built for corporate finance teams. By leveraging NLP, AI, and machine learning, Auditoria SmartBots remove friction and repetition from mundane tasks while also automating complex functions, such as accounts receivables collections, invoice accruals, and vendor onboarding.
As the first company to combine AI-based finance process automation with natural language-driven configuration, Auditoria addresses the most pressing challenges of the enterprise finance back office. Built with cutting-edge AI, Machine Learning, Cognitive RPA, NLP, and Computer Vision, Auditoria streamlines and automates collections, adds controls to procurement spend, and optimizes cash performance.
Who are your first pilot customers? (It’s okay if you don’t have one yet, but if you do, please list):
We have more than 100+ organizations leveraging our SmartBots to streamline and automate back-office processes. Flagship clients include UserTesting, Otto Car, and LiveRamp.
What technologies do you use?:
By applying powerful ML algorithms to both structured and unstructured data, Auditoria’s finance-savvy bots uncover hard-to-spot trends, organically learn from data points, and streamline areas such as vendor and customer communications, while delivering practical recommendations and supercharged, highly-targeted automated omni-directional communications for better business outcomes. Using modern AI-powered optical character recognition, computer vision, and natural language understanding technologies, Auditoria reads, matches, stores, and processes evidentiary data faster and more comprehensively than traditional people-based techniques, reducing significant monthly costs.
Which category do you see yourself in?:
Future of Work & Employee Experience
Where is the company headquartered?:
Santa Clara, CA
How many employees do you have today?:
What is the state of your minimal viable offering?: