The most expensive document in a regulated workflow is often not the complicated one. It is the ordinary one that gets treated like an exception.
Every unnecessary touch adds labor cost, cycle time, rekeying risk, and inconsistency. That is why straight-through processing matters when it is part of a broader digital intelligence process. Done well, it reduces risk twice. On the front end, it automates the non-exceptional work. On the back end, it gives people more time for the cases a machine cannot resolve reliably—or should not be allowed to resolve alone. That is the real operating advantage now emerging across insurance and lending workflows.
Straight-through processing is not just scanning or OCR. It is an operating model: classify the document, extract the right fields, validate them against rules and third-party data, determine whether confidence is high enough, and then either complete the task or route the file into an exception queue with context. That direction is already built into the market. ACORD describes its standards work as supporting the insurance industry’s goal of straight-through processing, McKinsey notes that document-classification capabilities can be reused across underwriting, claims, and policy servicing, and McKinsey’s 2026 banking work describes end-to-end workflows that accelerate flow while escalating exceptions to humans in the loop.
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