AI
Document Intelligence & Language AI
SERVICE ENGINEERING GUIDE
Make documents actionable while preserving their context. We combine extraction, classification and language processing to move invoices, forms, correspondence and reports into reviewed business workflows, with traceability back to the source.
What we deliver in practice
OCR & structured extraction
Process scanned and digital files, recover text and layout, and extract agreed fields and tables. Separate poor scan quality from extraction errors so document preparation and model tuning address the right cause.
Field schema, extraction workflow and sample output.
Classification & routing
Identify document types and route them to the correct extraction or review process. Handle unknown classes, duplicates and multi-document files instead of forcing every upload into a known category.
Classification taxonomy and exception queue.
Language understanding
Create document summaries, extract entities and compare selected clauses or correspondence topics. Keep source references attached and require specialist review for decisions with contractual or regulatory implications.
Reviewed templates and source-grounded outputs.
Validation & system posting
Apply business rules such as totals, mandatory fields and reference matching. Send low-confidence or inconsistent records to human review before an approved ERP, CRM or document-management integration.
Validation rules, review interface and posting audit.
The technology, explained
OCR & layout extraction
OCR recovers text from images; layout extraction preserves structures such as tables and headings. Neither alone proves that an extracted business value is correct.
Confidence & review thresholds
A model score helps route results but is not a guarantee of correctness. Thresholds should be calibrated on labelled customer examples and error costs.
RAG
Retrieval supplies relevant approved passages to a model at answer time. Grounding improves traceability but still requires permissions, citation checks and evaluation.
Reference architectures & design practices
Illustrative patterns for project discussions. Final topology, sizing, products and acceptance criteria are developed against your requirements. These are BrightGate concept diagrams, not vendor-certified designs.
Document-to-record processing+
On smaller screens, scroll the diagram sideways to see all components.
Extraction produces proposed values, not automatically trusted business records. Validation checks and a review queue sit between the model and system posting. Each approved value retains a link to its document or page for audit and correction.
Design practices to apply
- Evaluate each critical field, not only overall accuracy.
- Keep a separate set of unseen document layouts.
- Restrict indexing and review to authorised users.
Systems, products & official references
Examples to evaluate during scoping. Selection, supported features, hardware and licences depend on the agreed solution; a product mention does not imply a certification or an included purchase.
Document Intelligence / OCR
Layout and extraction components that can feed structured workflows or knowledge retrieval.
Official reference Microsoft Document Intelligence & RAGLanguage models & classifiers
Choose task-specific methods after measuring performance on the customer document set.
Review queue & enterprise connectors
Validation and approved posting complete the workflow around the extraction engine.
A result your team can accept
Acceptance evidence
Extraction
Score critical fields against labelled examples by document type.
Exceptions
Verify unknown layouts and invalid totals reach review.
Traceability
Follow a posted record back to its approved source and reviewer.
View the complete capability checklist
- OCR and structured data extraction
- Invoices, purchase orders and form processing
- Document classification and intelligent routing
- Contract summarisation and clause comparison
- Arabic / English translation and summarisation
- Email classification and response drafting
- Sensitive-data detection and redaction workflows
- ERP, DMS and archive integration