Documents should not slow down the business. Document Intelligence Engine helps companies read, extract, and process information from documents automatically, so teams can reduce manual input, save time, and work with cleaner data.
Problem
Many business processes still depend on documents, forms, IDs, receipts, reports, and scanned files. The problem is that much of this information still needs to be checked or typed manually, which makes the process slower and easier to get wrong.
This becomes more important when companies want to improve service speed, data quality, and automation. If document data is slow to capture or not accurate, the next process will also be slow. Document Intelligence helps turn document-heavy work into a faster and more reliable digital flow.
Our Approach
Document Intelligence Engine is Randstack’s solution for helping companies process document information using OCR and AI-assisted extraction. Based on Randstack OCR experience, this solution helps businesses read document content, capture important fields, and reduce manual data entry.
The solution is useful for companies that handle many forms, identity documents, application files, customer records, operational reports, or transaction documents. Instead of asking teams to read and input everything by hand, Document Intelligence Engine helps convert document content into structured information that can be used by business systems.
Why
Companies use Document Intelligence Engine because manual document processing takes time, creates errors, and slows down customer or internal workflows. By automating document reading and data capture, teams can process information faster and focus more on validation, service, and decision-making.
It also helps improve data consistency. When document information is captured in a more structured way, companies can reduce duplicate input, minimize mistakes, and make the next business process easier to run.
Onboarding Labor Cost
~60-65%
lower data-entry cost per registration
Automated field extraction from ID documents reduces manual keying labor per new customer.
Time-to-Active-Customer
~70-80%
faster registration
Shortens the gap between sign-up and an active, usable account, reducing funnel drop-off.
Rework from Data Errors
Fewer
correction cycles vs. manual entry
Reduces downstream cost of fixing typos and mismatches introduced by manual re-keying.
Methodology
01
We start by identifying which documents are used, what information needs to be captured, where manual work happens, and which process should be improved first. This helps define the right use case and expected business value.
02
After the document flow is clear, we build a working document processing flow that can read key information, support validation, and connect the result to the next business process. The goal is to test accuracy and usefulness before scaling further.
03
After launch, we review the document results, improve field accuracy, expand document types, and adjust the workflow based on real user feedback. This helps the solution become more accurate, useful, and ready for wider business use.
Result
When teams need to type information from documents by hand, every form, ID, invoice, or report becomes a slow manual task. This creates bottlenecks, increases workload, and makes the next process depend on human input. Document Intelligence Engine solves this by reading documents automatically, extracting important fields, and turning them into structured data that can be used by the next business system.
Document-heavy workflows often move slowly because teams need to open files, check details, validate information, and pass the result to another team. This delay can affect customer onboarding, application review, claims processing, or internal approvals. Document Intelligence Engine helps speed up the process by automating document reading and making key information available faster for review and action.
Manual reading and retyping can easily create mistakes, especially when teams handle many documents every day. A small typo in a name, number, date, or transaction detail can create bigger issues later in the workflow. Document Intelligence Engine reduces this risk by capturing information in a more consistent way and helping teams validate the extracted data before it moves forward.
Many documents contain useful information, but the data is trapped inside PDFs, scanned files, forms, or images. Because the information is not structured, it is difficult to search, analyze, or connect to business systems. Document Intelligence Engine solves this by converting document content into cleaner structured data, so teams can use it for workflow automation, reporting, and decision-making.
Teams often spend too much time checking the same document types, copying the same fields, and repeating the same validation steps. This reduces productivity and keeps people away from higher-value work. Document Intelligence Engine helps reduce repetitive admin work by automating the first layer of document reading and extraction, so teams can focus more on validation, exceptions, and decisions.
Customer journeys can become slow when registration, verification, or application processes depend on manual document checking. Customers may wait longer, drop off, or lose trust in the service. Document Intelligence Engine helps accelerate document-heavy onboarding by capturing required information faster and supporting a smoother review process.
When different people read and input document information manually, the result can vary from one team member to another. This creates inconsistent records and makes the data harder to trust. Document Intelligence Engine helps standardize how document information is captured, so business systems receive cleaner and more consistent data.
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