Intelligent document processing reads documents, works out what type they are, extracts the fields you need, checks them against your rules and sends clean data into your business systems. TecBytz builds these pipelines for invoices, purchase orders, contracts, forms and scanned documents, with people reviewing anything the system is unsure about.
What problems does it solve?
Manual data entry
Staff re-type data from PDFs and scans into ERP, CRM or HR systems.
Errors and delays
Typos and missing fields cause rework, late payments and compliance risk.
Many formats
Every supplier, customer and department sends documents differently.
How a document moves through the pipeline
- DocumentPDF, scan, photo or email attachment.
- OCRText is read, including from scans and photos.
- ClassificationThe document type is identified.
- ExtractionFields such as dates, totals and parties are pulled out.
- ValidationChecked against your rules; unclear cases go to a person.
- Business systemClean data is posted to ERP, CRM or HRM.
What can TecBytz build?
- OCR for scans and photos: Text recognition for printed documents, scans and photos.
- Document classification: Automatically sort mixed batches by document type.
- Field and table extraction: Header fields, line items and tables.
- Validation rules: Match against purchase orders, master data and business rules.
- Human review queue: Low-confidence fields are routed to a person to confirm.
Where can it be applied?
Potential applications
Invoices and purchase orders
Capture, match and post to your finance system.
Contracts
Extract parties, dates, renewal terms and obligations.
HR documents
Onboarding forms, IDs and certificates into your HRM.
Forms and reports
Applications, inspection reports and scanned archives.
Which systems does it connect to?
- ERP and finance systems
- CRM
- HRM and payroll
- Document management systems and email inboxes
We integrate through your systems' APIs, databases and extension points. See AI integration.
How do we deliver it?
Discover
Understand the business problem, data, users and desired outcomes.
Assess
Evaluate data readiness, existing systems, integration requirements, security and AI feasibility.
Design
Design the AI architecture, user experience, workflows and integration model.
Develop
Build, integrate and test the AI-powered solution.
Validate
Evaluate accuracy, reliability, security, performance and user experience.
Deploy
Deploy into your environment and integrate with existing systems.
Improve
Monitor usage, collect feedback and keep improving the solution.
Questions
Can it handle scanned and handwritten documents?
Printed and scanned documents work well. Handwriting varies, so we test on a sample of your real documents during assessment before committing to an approach.
What happens when the system is unsure?
Fields below a confidence threshold are sent to a review screen for a person to confirm, so uncertain data never flows into your systems unchecked.
Last updated: