Document Intelligence

A manufacturing company received over 10,000 vendor invoices monthly. Finance clerks manually transcribed data from highly variable PDF layouts into SAP. This manual bottleneck led to a 20% error rate, severe payment delays, and lost early-payment discounts.

We deployed a Document Intelligence pipeline that automatically intercepts incoming invoice emails. The AI visually and contextually scans the document, identifying vendor names, total amounts, taxes, and individual line items without requiring pre-built templates, then cross-references the invoice against the original Purchase Order in SAP.

A corporate legal team needed to review an archive of 50,000 legacy vendor contracts to identify specific renewal dates, liability clauses, and pricing terms. This manual audit was projected to consume hundreds of paralegal hours and cost upwards of $200,000.

The Document Intelligence engine was trained to recognize complex legal terminology and standard clause structures. It processed the entire archive of unstructured PDFs, automatically extracting relevant clauses, critical dates, and party names, structuring them into a centralized database.

A global shipping firm struggled with highly variable Bills of Lading arriving in different languages and formats via fax and email, causing severe administrative bottlenecks and delayed freight routing at port checkpoints.

We integrated a multi-lingual Document Intelligence model that instantly scans inbound shipping documents. It extracts crucial routing protocols, weight dimensions, hazard data, and customs codes, feeding the structured payload directly into the logistics management system.

A major US-based healthcare network processed over 100,000 unstructured patient intake forms and Explanation of Benefits (EOB) documents daily. Manual transcription errors led to high Medicare and Medicaid claim rejections.

We deployed a HIPAA-compliant Document Intelligence pipeline trained specifically on US healthcare formats. The AI autonomously extracts patient demographics, complex ICD-10 medical codes, and billing entities from highly variable PDF and fax layouts.

A London-based mortgage lender struggled with a 14-day backlog in loan origination. Underwriters were manually reviewing highly unstructured UK tax returns (SA302s), P60s, and bank statements to verify income against strict FCA affordability criteria.

The Document Intelligence engine was tailored for UK financial documents. It instantly ingests applicant uploads, semantically extracts net income, identifies recurring liabilities, and cross-references the data against the FCA compliance rubric.

A rapidly scaling cross-border FinTech faced a massive backlog in corporate onboarding. Compliance teams were manually reviewing complex Trade Finance documents, international tax certificates, and UBO declarations.

We deployed a Cognitive Document pipeline tailored for global finance. The AI autonomously ingests multi-lingual corporate registry documents, extracts entity structures, and cross-references them against global AML and sanctions watchlists.

Following strict SEC and FCA mandates, a multinational retailer had to calculate its Scope 3 footprint, requiring manual extraction of energy usage and water metrics from thousands of unstructured PDF supplier audit reports.

We deployed a specialized Document Intelligence engine trained on global environmental reporting standards. The system ingests global supplier audits, contextually extracting raw metric tonnage and converting disparate international units into a standardized ESG payload.

Complex post-Brexit and USMCA customs declarations caused severe freight hold-ups. A logistics provider struggled with commercial invoices and certificates of origin arriving in diverse formats.

We deployed a multimodal ingestion engine that cross-references the bill of lading with the commercial invoice. The AI semantically extracts specific Harmonized System (HS) codes, weights, and origin data, injecting it into the clearance system.

A property management firm needed to extract rent escalations, CAM fee structures, and liability clauses from thousands of 100+ page, densely written commercial leases after acquiring a massive 400-building portfolio.

The Document Intelligence engine was trained on commercial real estate taxonomy. It ingested the massive lease portfolio, contextually extracting specific financial obligations and structuring them into their core property management software (Yardi).

Under strict FDA and MHRA regulations, a pharma company had a 15-day window to report adverse drug reactions. Intake teams were buried under handwritten doctor notes and unstructured faxes, causing a severe backlog.

We integrated a medical-grade Document Intelligence pipeline. The AI reads the unstructured clinical narrative, autonomously extracting drug dosage, demographics, and symptoms, mapping them directly to standardized MedDRA codes.