Beyond storing documents, AI-powered document management covers classifying their content, extracting the information needed and using it in business processes. Its goal is to make the information in documents such as invoices, contracts, forms and reports usable.
In most organizations, the problem is not just the number of files. Identifying the document type, entering its information into another system, linking it to the right record and routing it to the right person also take time. In the PaperWork approach, document processing, document management, AI and workflow each handle a different part of this work.
Are document management, OCR and IDP the same thing?
No. These concepts can be used together, but they do different jobs:
- Document management: Manages the document's record, classification fields, versions, access permissions and usage history.
- OCR: Converts the text in a scanned page or image into machine-readable text.
- IDP: Covers a broader processing flow, such as identifying the document type, extracting the required fields, validating information and passing it to the next system. OCR can be one component of this flow.
- Question answering over documents: Helps users reach information in a specific document or group of documents using natural language. The source of the output and access permissions also need to be considered.
Reading every word on an invoice does not mean the invoice number has been placed in the right field. Likewise, summarizing a contract does not mean the document has been approved or legally reviewed. A solution should be evaluated by looking at these different outputs.
What does each component do in PaperWork?
Intelivus intelligent document processing focuses on classifying documents, extracting fields and validating them. PaperWork Document Management and Content Server manage the document with its related information, versions and access rules. Validated documents and data can then be connected to workflows.
PaperWorkAI brings together the AI capabilities on the platform. Needs such as document summarization and source-based question answering are also addressed within this scope. Finding personal data and masking it based on permissions is handled by the ISDD document masking solution.
How does processing work when a document arrives?
- Intake: The document is received by email, API, scanner or another channel defined by the organization.
- Classification: The document type is identified, such as invoice, contract, form or report.
- Data extraction: Depending on the document type, fields such as date, amount, document number or party details are captured.
- Validation: Required fields and business rules are checked. If the right integration is in place, the information is compared with ERP or CRM records.
- User review: Information that is missing, uncertain or inconsistent is routed to the relevant person.
- Record and process: The document is linked to the right record, and the required approval or follow-up is started.
Not every step has to work the same way for every document. Different control rules can be defined for document types, quality issues and high-risk transactions.
Example: Processing an incoming invoice
Consider an invoice from a supplier. The system classifies the document as an invoice and extracts the number, date, supplier and amount fields. If the supplier record cannot be found or a required field cannot be read, the record goes to user review. Once the information is validated, the document is linked to the archive and the organization's approval process begins.
You can explore the next steps, tasks and the ERP connection in the invoice approval process guide.
Which departments can use it?
- Finance: Extracting fields from invoices, receipts and payment documents and linking them to the right record.
- Legal: Finding the information needed in contracts, comparing document versions and preparing for review.
- Human resources: Classifying applications and personnel documents, and restricting access by role.
- Manufacturing and quality: Associating technical documents, certificates and quality records with the related product, supplier or process.
- Insurance and healthcare operations: Organizing application files and their attachments in administrative processes. Access and user review for sensitive documents should be designed separately.
Which controls matter when asking questions about a document?
When you ask about the termination period in a contract or the approver in a procedure, a fluent answer alone is not enough. You should be able to see which document and version the answer is based on, and users should only receive information from sources they are authorized to access. Before a critical decision, the relevant source section should be checked.
You should also test how the system responds when the information is not in the document. Similar terms, old versions and documents with different dates can be included in test scenarios. This way, you can evaluate not only correct answers but also how the system behaves when faced with wrong or missing information.
What should you measure in a demo and pilot?
Prepare a test set made up of your own document samples. Alongside clean PDFs, include skewed scans, different layouts, missing fields and files containing more than one document. Define the correct results in advance and compare the outputs against them.
- The rate at which document types are correctly identified.
- Correct extraction of critical fields and detection of errors.
- The number of documents sent to user review and the time needed for corrections.
- Correct recording of validated information in the target system.
- Preservation of the document's record, permissions and processing history.
- Completion of processing during peak hours and handling of error conditions.
The expected benefit is determined by comparing these measurements with the current way of working. Do not assume zero errors for every document or the same savings rate. Document quality, rules, integrations and control steps all affect the results.
Frequently asked questions
Does AI process all documents without user review?
You should not assume so. User validation can be defined based on document type, information quality and business risk.
Should the existing document management system be replaced?
The decision depends on the existing infrastructure. Document processing, storage, access and integration needs should first be evaluated separately.
Does document processing guarantee direct savings?
No. The organization's own pilot results should be evaluated with measurements such as time per transaction, correction workload and integration cost.
Content update: PaperWork, September 6, 2026. Two articles on AI-powered document management were merged into this guide.
Related resources
IBM, Document management
Intelivus: OCR vs. IDP, validation and integration
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