// AI / DOCUMENT INTELLIGENCE
Stop your clients paying people to re-key documents.
An average accounts-payable team spends 11 to 13 dollars processing one invoice by hand, before the errors. We deploy document intelligence that reads invoices, contracts and claims at 90 to 99 percent accuracy, routes the doubtful ones to a human, and lands clean data in the ERP. It runs under your brand.
Start a document conversationManual document handling is a silent drain, and a compliance risk.
It hides inside every finance team, insurance operation and loan desk. The cost per invoice is only the visible part: a mis-keyed total triggers a payment dispute, a missed renewal date becomes legal exposure, a claim stuck in a queue for five days becomes a regulatory breach against SLA. Rule-based OCR plateaus at 70 to 80 percent accuracy and breaks the moment a vendor changes their template, so the work keeps falling back on people.
What we build into the pipeline.
Semantic Extraction
Transformer models from Google Document AI, AWS Textract and Azure Document Intelligence that read what a document means, not just where the pixels sit. Field-level accuracy of 90 to 99 percent, against the 70 to 80 percent ceiling of template OCR.
Custom-Trained Extractors
Client-specific layouts learned from as few as fifty labelled samples. Invoices, contracts, claims and purchase orders that never matched a stock template now extract cleanly, and uptraining keeps them stable as formats drift.
Human-in-the-Loop Validation
Extractions that fall below a confidence threshold route to a human reviewer. Corrections feed straight back into retraining, so straight-through processing climbs from around 60 percent toward 95 and beyond over time.
ERP & Claims Integration
Pre-built connectors into SAP, Oracle, Dynamics and Guidewire, REST integration for bespoke systems. Extracted data lands validated in the system of record, not in a spreadsheet someone re-keys by hand.
Broad Document Coverage
Invoices, contracts, claims forms, loan applications, identity documents, bank statements and shipping manifests across 200-plus languages, with tables, handwriting, signatures and checkboxes all in scope.
Governance & Drift Monitoring
Ongoing model governance with accuracy tracking and drift alerts, so the system stays trustworthy as documents and vendors change. This is a managed capability, not a one-off build that decays.
The numbers behind automated extraction.
How the options compare.
What your client gets from template OCR, a SaaS vendor, or our team under your brand.
Document intelligence, answered straight.
01 How accurate is AI extraction next to manual entry?
Modern document intelligence hits 90 to 99 percent field-level accuracy on well-structured documents and 85 to 95 percent on complex or variable layouts. Manual entry sits around 96 to 98 percent, but at twenty to fifty times the cost and time. With the human-in-the-loop layer catching low-confidence fields before they reach the ERP, you get accuracy on par with manual work at a fraction of the price.
02 Our formats keep changing. Won't that break it?
Pre-built models handle common formats out of the box: invoices, contracts, purchase orders. Custom neural models from Azure Document Intelligence and Google Document AI learn client-specific layouts from as few as fifty labelled samples. As formats evolve, ongoing uptraining holds accuracy steady. It is a managed capability, not a one-time build that rots the first time a vendor changes their template.
03 We tried OCR before and it did not work.
Classic template OCR hits a hard wall at 70 to 80 percent accuracy and shatters when layouts shift, because it is pattern matching on fixed positions. Modern document intelligence uses transformer models that understand semantics, so a moved field or a new vendor template no longer breaks extraction. The technology underneath has genuinely changed.
04 How long does integration with our ERP or claims system take?
For common systems (SAP, Oracle, Dynamics, Guidewire) we use pre-built connectors. For bespoke systems, REST integration usually runs two to four weeks. The processing layer itself is live and validating documents in four to six weeks; full ERP integration follows in weeks six to ten depending on system complexity.
05 What document types can it handle?
Almost any business document: invoices, purchase orders, contracts, insurance claims, loan applications, identity documents, bank statements, medical forms and shipping manifests. The platforms support more than 200 languages and PDF, JPEG, PNG and DOCX inputs, and can extract tables, handwriting, signatures and checkboxes.
06 How does it stay compliant with GDPR and HIPAA?
Processing runs inside the client's own cloud tenant, so document data never leaves their environment. For GDPR we implement the Article 22 human-in-the-loop provisions for automated decision-making. For HIPAA we apply Safe Harbor de-identification of extracted health data. SOC 2 Type II controls cover access, encryption and audit logging.
Tell us what your clients need.
A tri-cloud migration. A 200-site SD-WAN rollout. A security architecture before NIS2 hits. An AI system your client is asking about next quarter. We scope it, staff it, and deliver it under your brand. One conversation tells us if we are the right team.