MyiQ.Ai
MyiQ.Ai stands as a leading invoice automation platform that leverages the strengths of machine learning to redefine efficiency in invoice processing. By meticulously training models, refining data pre-processing, and ensuring seamless integration with existing ERP systems, the software eradicates manual data entry, time-consuming validation, and error-prone tasks.
The platform's homegrown ML and AI engine propels businesses towards automation, achieving impressive outcomes such as 99% uptime, 95% accuracy, and processing capacities of over a thousand invoices per minute, while tapping into massive cost reductions of up to 60%.
The software's advanced AP Automation capabilities ensure effortless integration, immediate workflow optimization, and precise accuracy, meeting compliance standards with ease. It's not just about reducing errors; it's about scaling with your business needs, providing real-time insights, and delivering customer support that ensures your continued success.
With MyiQ.Ai, experience rapid implementation of Plug and Play functionality, robust reporting, and a flexible API library that complements a range of ERP systems such as SAP, Oracle, MS Dynamics, and more. Your path to secure, optimized, and compliant invoice automation starts here.
Vic.ai
Vic.ai stands at the forefront of financial technology as the first autonomous platform designed specifically for accounting workflows. The platform leverages advanced AI technology to revolutionize accounts payable operations, offering comprehensive solutions for invoice processing, purchase order matching, approval flows, and payment management.
The platform delivers exceptional results with a 5x faster invoice processing speed and achieves an 85% no-touch rate within six months of implementation. With seamless ERP integration capabilities and an open API architecture, Vic.ai provides a scalable solution that transforms traditional accounting processes into autonomous operations, offering organizations a typical payback period of seven months.
