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Automatically compare and reconcile revenue data across ERPs, banks, POS systems, invoices, and contracts at enterprise scale. Identify discrepancies before they compound, ensure financial accuracy and compliance, and close your books with confidence.
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Most reconciliation platforms were built for structured ERP exports, single-source data, and rule-based matching that made sense a decade ago. Today, revenue flows through contracts, PDFs, multi-currency POS systems, and real-time payment rails. This creates complex reconciliation challenges across distributed financial systems.
Conventional reconciliation software struggles with scattered revenue data across ERPs, CRMs, payment processors, and spreadsheets in different formats.
Partial payments, contract amendments, and multi-currency transactions fall outside predefined rule sets and force human intervention, which increases errors and delays.
Discrepancies such as duplicate billing, missed credits, and erroneous payments are often overlooked and gradually erode revenue.
Collatio Revenue Reconciliation is Scry AI’s enterprise-grade reconciliation platform that automates the end-to-end process of matching and validating revenue and transactional records across systems, workflows, and financial documents. It reconciles revenue data from sources such as invoices, contracts, bank statements, transaction records, and payment files against systems including general ledgers, sub-ledgers, ERPs, CRMs, and accounting platforms. Powered by domain-trained AI models, natural language processing (NLP), and machine learning (ML), Collatio extracts, interprets, and compares financial data to identify mismatched records and missing entries across accounting records and financial systems. It flags discrepancies in real time, routes exceptions through configurable workflows, and automatically validates matched records.
Collatio revenue reconciliation software is built from the ground up on financial document structures, revenue workflows, and AI-driven reconciliation logic, enabling precise, context-aware capture, validation, and processing of revenue data.
Automatically pulls revenue data from ERPs (SAP, Oracle, NetSuite, QuickBooks), CRMs, payment gateways, shared drives, emails, and APIs. Converts formats such as PDFs, CSV files, Excel spreadsheets, and scanned images into a unified, structured dataset ready for accurate and scalable reconciliation.
Collatio reads, extracts, and interprets financial data from invoices, purchase orders, contracts, general ledger entries, and bank transactions to understand the semantic context and relationships between revenue records. It then matches transactions across documents and financial systems to identify and verify corresponding entries with up to 99% accuracy, even in cases such as partial payments, split invoices, and multi-currency transactions.
Continuously monitors revenue transactions across documents and financial systems to detect anomalies and suspicious activity as they occur. Collatio flags discrepancies such as amount mismatches, duplicate records, missing entries, unusual timing patterns, and potential fraud indicators. Each variance is categorized with contextual explanations and automatically routed to the appropriate stakeholder for investigation and resolution.
Pre-built and customizable workflows route reconciliation exceptions based on criteria such as amount, discrepancy type, risk tier, or business unit. Each exception includes clear context, supporting records, and assigned ownership so teams can review and resolve issues efficiently. Matched or high-confidence reconciliations can be automatically validated, while other exceptions follow structured human-in-the-loop review and resolution workflows.
Collatio provides real-time visibility into reconciliation progress, reconciliation match rates, unresolved exceptions, and overall financial close status through interactive dashboards and reports. Finance teams can monitor bottlenecks, track resolution timelines, and manage reconciliation cycles more effectively.
Collatio reconciles revenue transactions across multiple subsidiaries, legal entities, and currencies within global finance operations. It supports cross-border transactions by applying appropriate exchange rates and maintaining consistent financial records across entities. This enables finance teams to reconcile international revenue records while preserving compliance and audit-ready reconciliation trails.
Organizations using Collatio’s automated revenue reconciliation platform achieve measurable improvements in reconciliation accuracy, operational efficiency, and financial control.
Transaction Matching Accuracy Across Invoices, Contracts, and Payment Records
Reduction in Financial Close Cycle Time Through Automated Reconciliation Workflows
Decrease in Manual Reconciliation Effort for Finance and Revenue Operations Teams
Faster Discrepancy Detection and Resolution Through AI-Enabled Reconciliation Monitoring
Collatio captures revenue-related documents and transaction records from enterprise systems, including ERP platforms, billing systems, shared drives, APIs, email inboxes, contracts, invoices, payment files, and bank statements. Both structured and unstructured inputs are consolidated into a unified reconciliation environment, creating a single source of financial data that eliminates fragmented records and prepares the dataset for downstream classification and reconciliation.
AI, machine learning, and natural language processing modules identify document types and interpret their structure and context. Relevant financial fields are then extracted and normalized into consistent formats, ensuring records from different systems and document layouts follow a standardized data model. This process converts high-volume, layout variant source data into clean, structured information that can be accurately matched and reconciled at scale.
Revenue records are automatically matched across contracts, invoices, billing data, payment records, sub ledgers, general ledger entries, settlement files, and bank transactions to validate completeness and accuracy. Discrepancies such as mismatches, missing entries, duplicates, and value variances are identified and flagged instantly. This allows teams to detect revenue-impacting issues early instead of discovering them during financial close or audit reviews.
Mismatched items and flagged variances are automatically routed to designated stakeholders or teams through configurable workflows based on predefined rules, thresholds, and ownership. Each case is presented with its supporting documents, transaction details, and reconciliation context so reviewers can quickly understand the issue. This human-in-the-loop review process enables finance teams to investigate discrepancies, assign ownership, track resolution status, and approve corrective actions within the same workflow.
Reconciliation outputs, status details, and variance summaries are organized into structured reports and dashboards with a complete audit trail, providing a consolidated view of reconciliation progress and outcomes. Certified outputs then flow into downstream financial systems and reporting processes, giving teams clear visibility into completed reconciliations, open exceptions, and unresolved items while supporting period-end close, compliance requirements, and audit readiness.
Collatio Revenue Reconciliation processes a wide range of financial documents, whether they are in unstructured, semi-structured, or structured formats.
Collatio embeds security, governance, and compliance controls directly into revenue reconciliation workflows from the outset.
SOC 2 Type II-compliant and ISO 27001-certified infrastructure ensures secure handling of sensitive financial data.
Every reconciliation action is logged with full traceability, including user activity, approvals, and adjustments, to support audit-ready reporting and regulatory compliance.
Sensitive financial data remains protected through end-to-end encryption and secure storage across documents, systems, and reconciliation workflows.
We are trusted by enterprises globally.
Connect with your existing enterprise platforms through APIs and direct data exchange, keeping your workflows intact and your teams in sync.
Automatically reconcile transactions across sales channels and accounting systems, detect discrepancies earlier, and resolve exceptions through configurable workflows.
Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.
Learn more about the Collatio revenue reconciliation platform and how it helps organizations improve financial accuracy, automate reconciliation workflows, and maintain reliable financial reporting.
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