Business
Invoice AI: TRG Screen automates market data's most time-consuming workflow
New York, London, May 14, 2026 (GLOBE NEWSWIRE) -- TRG Screen , a leading global provider of m...
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[{"type":"text","content":"Invoice AI: TRG Screen automates market data's most time-consuming workflowNew capability within Optimize Spend helps firms spend less time processing invoices and more time acting on spend data\nNew York, London, May 14, 2026 (GLOBE NEWSWIRE) -- TRG Screen, a leading global provider of market data management solutions, today announced the launch of Invoice AI, a new AI-powered capability within its Optimize Spend platform. Designed to help financial institutions automate market data invoice processing, it turns invoices into structured, validated data. The result: less manual effort, faster processing and stronger audit readiness. The launch builds on TRG Screen’s recent introduction of Contracts AI, extending the firm’s strategy to apply AI to complex, high-friction processes in market data management.  For many firms, invoice processing remains time-consuming and error-prone. Invoices arrive in multiple formats, often via email, requiring teams to capture invoice data, validate fields and resolve exceptions before invoices can move forward. This creates bottlenecks, introduces errors that cascade into downstream processes and limits visibility into spend and usage. Invoice AI addresses this by turning invoice content into structured, validated data within Optimize Spend. It extracts key invoice details, including vendor information, billing periods, amounts and line items, and maps that data to internal accounts and records. It supports single uploads, bulk processing and API-driven workflows, with full traceability to the original invoice maintained at every stage. One of Invoice AI's most powerful features is AI-powered line-item reconciliation. Unlike an OCR or bot solution, the AI extracts line items directly from the invoice and writes them into Optimize Spend with no manual entry and no external mapping overhead. Simple invoices reconcile with no touch at all. For invoices where the AI detects a discrepancy, it surfaces the exact variance, along with AI commentary telling users precisely what needs attention.  Invoice AI operates within the same platform that holds clients' contracts, spend inventory and vendor relationships, meaning the intelligence is applied in context with no data leaving the workflow and no integration overhead. This cannot be replicated with fragmented tools, as OCR or bots...