Is your team still reading and entering documents manually?
Contracts, forms, and scanned documents often require reading, classification, and entry into multiple systems. Allogic builds custom systems for this workflow, combining OCR, natural language processing, and business rules.
What the project can include
- Document capture from the sources agreed in scope.
- Field extraction, classification, and information organization.
- Business-rule validation and exception handling.
- API or RPA integration, depending on available access.
- Processing records and quality monitoring.
How we assess feasibility
We review representative examples, formats, volumes, current manual effort, and the consequences of an error. The assessment compares technical alternatives and defines where human review is necessary.
| Decision | What we need to understand |
|---|---|
| Documents | Formats, image quality, fields, and variation |
| Quality | How extracted information will be verified |
| Integration | Target systems, APIs, permissions, and limitations |
| Operation | Volume, exceptions, privacy, and ownership |
A project presented by Allogic
Explore our public-sector document system: capture, AI classification, and registration across four external systems. The project page distinguishes delivery scope from published estimates.
Investment and next step
Our published reference range for document automation is BRL 60,000–180,000, subject to assessment. Documents, integrations, and validation criteria determine the proposal. Hosting and API running costs must also be considered.
In the introductory call, explain which document workflow takes the most time and where the data needs to go. Do not send personal or confidential documents through the contact form.