Reconciliations come in many shapes and sizes. Sigma IQ does not force you into a rigid workflow, but gives you the power of an AI - Machine Learning based matching engine that can fits into your process and drastically reduces manual reconciliation work.
Our cloud-based solution means you can get up and running in less than a day with no implementation costs or requirements for your IT Team. This means you can start reconciling from day one while dramatically lowering your implementation risks.
Our privacy-centric design will keep your business safe and your auditor happy. We’ve designed Sigma IQ to include COSO 13 controls from the ground up. We also provide built-in tracking/logging at the transaction level to improve audit visibility.
Reconciliations come in MANY different formats, use cases and workflows. Sigma IQ's platform is flexible enough to save your team time on an enormous range of data matching scenarios.
Outstanding matching performance. Zero administration overhead. Lowest Total Cost of Ownership. Staff friendly intuitive interface. Let us show you why you will love Sigma IQ.
Want to see how Sigma IQ can dramatically improve your matching reconciliations? We'll show you how flexible and simple our platform is.Schedule a Demo
Here are specific short term wins and long term strategies you can implement today to start closing your financials more quickly and accurately using real-life examples.
Machine Learning based account reconciliation software offers a significant advantage to rules based systems when data complexity and scale are involved. Learn the specific differences in this white paper.
This primer helps financial leaders understand what AI and Machine Learning (ML) are, how they relate to each other and what they can do for F&A teams. Get familiar with concepts and terminology of the technology driving the future of finance.
The payments industry is growing and innovating rapidly. In order to keep the small margins in-house on the millions of transactions processed, your reconciliation approach needs to innovate too.
F&A processes have come a long way since Excel sheets, macros and formulas were first used for reconciliation. Learn why AI - specifically Machine Learning - works more efficiently and effectively for modern transaction matching.
ERP Systems are notoriously complex and expensive. Survey’s of executives and analysts studies show failure rate of 50% - 75% and a “fail to meet expectations” rate of 80%. Not only do they tend to take longer than expected and cost more to implement, but the business results may not meet the high bar required to sell in and get executive buy-in. Read this guide to avert the 10 cardinal sins and give you a higher chance of ERP Implentation success!