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Beyond the AI Bubble: Why Agentic AI will define the next economic phase of automation. We’ve been here before. The late 1990s had the internet boom; the mid-2010s brought crypto euphoria and RPA. Now, it’s artificial intelligence’s turn in the spotlight, and increasingly, in the crosshairs. In 2025, AI has become both the economic engine and the potential fault line of global growth.

Your warehouse team shouldn't need a forensics degree to match an ASN to its corresponding BOL. Yet here we are, with logistics coordinators spending hours cross-referencing shipment numbers, carrier codes, and delivery schedules across multiple document types. All because freight documentation remains stuck in a world of manual validation and reconciliation.

Every failed invoice match. Every rejected order. Every downstream system error. They’re not just “one-off issues.” They’re symptoms of a deeper problem: broken processes and unreliable data at the source.

In the realm of accounts payable (AP) and accounts receivable (AR) operations, every line manually keyed or fixed represents a quantifiable drain on productivity, budget, and team morale. Human error rates in data entry can exceed 1% per field, leading to compounded inaccuracies across invoices.

Optical Character Recognition (OCR) has long served as a foundational technology for digitising document content, converting scanned images into editable text through pattern recognition algorithms.

Most document capture and processing solutions today focus on one primary objective: extract the content from a document and attempt to resolve obvious errors using logic, AI, or data lookups. While this is a step in the right direction, it falls short of what is truly required to automate financial document workflows.