AI document processing and OCR that turns paperwork into usable data.

Application and onboarding forms, contracts, CVs, purchase orders, delivery orders, quotations, insurance claims, ID and KYC documents, receipts and invoices, in PDF, scanned image or photo form. We handle both structured templates and messy, varied layouts, in single or multi-page batches, and can support multiple languages and mixed English and Bahasa Malaysia documents.

Extracted fields get a confidence score, and required fields are checked against your validation rules, such as totals that must add up, dates in valid ranges and names matched to your customer or supplier records. High-confidence documents that pass the rules move on as drafts; anything ambiguous or failing a rule goes to a human review queue so a person confirms it before it reaches your systems. You decide the confidence threshold. No OCR or AI system is error-free, so review stays part of the process.

We export validated data into CRMs such as HubSpot and Salesforce, HR and recruitment tools, ERPs such as SAP, accounting systems such as Xero, and Google Drive, Notion, spreadsheets or a database via their APIs. If a system has no API, we can generate import-ready files. The pipeline maps extracted fields to your own records, codes and categories.

Yes. The OCR layer handles scans, phone photos and faxed pages, including skewed or slightly crumpled documents. We apply de-skewing, cropping and image cleanup before extraction, and the LLM layer then interprets the text in context rather than relying on fixed field positions. Very poor scans and handwriting are harder to read, so they go to manual review.

In most cases, yes. We pair OCR with language models that read the document in context rather than relying on fixed templates, so new layouts from customers, suppliers or applicants usually work without extra setup. We test on your real samples, and unusual layouts or poor scans go to review.

Personal, legal and financial documents are sensitive, so security is designed in. We minimise data retention, use permissioned APIs and encrypted transfer, keep an audit trail of extractions and edits, and can run the pipeline in a private cloud, bring-your-own-key or self-hosted setup. We confirm data handling for each project, including which AI providers are used, their no-training terms where available, and where the system is hosted (your infrastructure or a managed server).

Not by default. Records are prepared as drafts or held for review, and a person approves before anything is saved. You choose which document types, if any, can move straight through once they pass every rule.

With rules, not just AI. We check key details on each document, such as a customer name, ID number or order reference, against the record it's heading for, and stop anything that doesn't match. Duplicate checks run against the target system itself, and a reviewer approves before anything is saved.

You own the bespoke deliverables built for your project under our agreement. Framworq keeps its pre-existing tools and reusable components, with the rights your team needs to use the system. We build on your infrastructure and accounts where possible, hand over documentation and train your team to add document types and adjust validation rules. You can choose a separate plan to monitor accuracy, tune prompts and handle new document formats.