Tick & Tie Finance Blog

Reducing Credit Card Reconciliation Time While Increasing Match Accuracy Through Intelligent AutomationReducing Credit Card Reconciliation Time While Increasing Match Accuracy Through Intelligent Automation
Credit/Debit cards now account for over 75% of consumer transactions but traditional methods of reconciling the steps in the process haven’t evolved nearly as fast - until now. Traditional tools like Excel driven matching or rules based reconciliation can help in lower volume, simple matching but credit card reconciliation - with it’s raw volume and many different systems in the processing flow - creates unique reconciliation problems that need a new approach. This article describes the process and opportunities for efficiency improvement through intelligent automation.
The Role of Robotic Process Automation and Machine Learning in Account Reconciliation Process ImprovementThe Role of Robotic Process Automation and Machine Learning in Account Reconciliation Process Improvement
New tools, technologies and approaches can help F&A teams reduce their manual work, improve the speed and accuracy of their close process and enable staff to work on higher value, more interesting work. Dedicating time to understanding the account reconciliation process at a deeper level, creating alignment around strategy and generating momentum with small wins can roll into big wins over time and strengthen the organization.
Why I Started Sigma IQ - A Finance+AI Company Origin StoryWhy I Started Sigma IQ - A Finance+AI Company Origin Story
Glenn Wisegarver started Sigma IQ based on his CFO experience and frustration with an account reconciliation process that held back his F&A teams. Hear the Sigma IQ origin story in his own words to understand why we exist.
Automating Bank Reconciliations Through RPA & Machine LearningAutomating Bank Reconciliations Through RPA & Machine Learning
For many companies, automating bank reconciliations with Intelligent Automation presents the biggest opportunity for saving time during the financial close process. This post discusses how Robotic Process Automation (RPA) and Machine Learning (ML) can dramatically improve efficiency in this reconciliation process and save your team hundreds of hours of manual processing time.
Sigma IQ Raises $3.5 Million Seed Round to Empower Enterprise Finance and Accounting Teams with Game-Changing AI TechnologySigma IQ Raises $3.5 Million Seed Round to Empower Enterprise Finance and Accounting Teams with Game-Changing AI Technology
The Seattle-based company will use the funding to expand its growing engineering team and bring to market its enterprise-scale Machine Learning - powered account reconciliation matching engine.

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