AI for Enterprise Reconciliation
zoRECON™ - Automatic Enterprise Reconciliation
zoRECON™ stands for Zolix Enterprise Reconciliation, automating enterprise financial reconciliation to reduce manual intervention by up to 98%.
Features
DATA FUSION ENGINE
Platform seamlessly integrates multiple data source structures, incorporates a built-in ETL (Extract, Transform, Load) system capable of managing complex transformation rules, utilizes machine learning for autodetection of incoming data, and efficiently handles large volumes of data to ensure robust data processing and analysis capabilities.
DATA CONNECTORS
Platform supports multiple file formats, including Swift & ISO formats, integrates seamlessly with various card networks
INVESTIGATION & RESOLUTION
Platform features advanced audit trails for comprehensive tracking and accountability, automates the generation of correction entries, and seamlessly ingests corrections into source system applications, ensuring accuracy and integrity throughout data management processes.
MATCHING ENGINE
Platform allows users to configure complex matching rules through a graphical user interface (GUI), supporting 2-way and N-way matching scenarios. It facilitates various reconciliation types including one-one, one-many, many-one, and many-many reconciliations, ensuring flexible and comprehensive data reconciliation capabilities.
ALERTS & NOTIFICATIONS
The platform includes a contextualized email notification engine that generates alarms and tickets for exceptions, providing proactive alerts. It supports scheduling of emails to notify events, enhancing communication and responsiveness within operational workflows.
REPORTS & ANALYTICS
Platform offers standard and custom reporting capabilities, including operational, escalation, and aging metrics. It supports custom dashboards for C-level insights and provides compliance reports, ensuring comprehensive visibility and analytics across various business operations and regulatory requirements
About Our C2O Ai Engine™
C2O AI Engine, a cornerstone of Zolix innovation, integrates advanced machine learning and data pattern recognition capabilities to revolutionize user experience and operational efficiency. By leveraging sophisticated algorithms, it optimizes cloud costs by up to 60%, ensuring that resources are allocated efficiently based on real-time usage metrics. Moreover, the engine automates the entire financial data reconciliation process, eliminating manual intervention completely. This transformative approach not only enhances accuracy and speed but also frees up valuable resources for strategic initiatives, empowering organizations to achieve substantial cost savings and operational excellence.