Case studies

Enterprise case studies

How global enterprises integrate our accelerator platforms to realize measurable ROI.

Case study 01

Invoice Automation Accelerator

The challenge

A leading multinational distribution network was losing thousands of productive team hours to manual billing. They processed over 450,000 global supplier invoices annually, received as unstructured PDFs or scanned files in multiple languages. Manual entry led to 8.5% billing errors, frequent late payment penalties, and high operational costs.

Our approach

We deployed our Invoice Automation Accelerator. The system captures documents automatically, runs them through an OCR pipeline, uses custom deep learning models to extract line-items, performs cross-matching with purchasing logs, and handles ERP system updates.

Platform architecture

01
Inbound Ingestion: Automated adapters monitoring Outlook mailboxes, SharePoint directories, and SFTP endpoints.
02
Parsing & Cleanup: Advanced computer vision image preprocessing to deskew and clear scanned files.
03
LLM Extraction: Proprietary transformer models pulling key invoice metadata, tax line-items, and vendor addresses.
04
Audit Engine: Real-time three-way matching against existing purchase orders and goods-received logs.
05
ERP Connector: Direct integration with SAP/Oracle systems to complete payment releases.
Measurable outcomes

Slashed document processing times by 85%, reducing the cycle from 12 business days to under 4 minutes.

Achieved a 99.8% extraction accuracy rate, eliminating the need for manual corrections on clean files.

Avoided all vendor payment delays, resulting in $450k in annual savings from prompt payment discounts.

Case study 02

Legal Intelligence Accelerator

The challenge

A Fortune 500 technology provider's legal team was overwhelmed by the sheer volume of custom supplier and licensing agreements, averaging 15,000 contracts annually. Review cycles took up to two weeks per document, delaying sales, causing compliance issues, and resulting in high external legal fees.

Our approach

We deployed our Legal Intelligence Accelerator. The platform uses a Retrieval-Augmented Generation (RAG) framework to automatically scan and analyze contracts against the company's approved legal playbooks, quickly flagging deviations in liability clauses, indemnification caps, and renewal conditions.

Platform architecture

01
Secure Document Vault: Strict role-based access control and encryption for all contract uploads.
02
Semantic Clause Segmentation: Dividing agreements into distinct, indexable clauses.
03
Vector Embeddings: Mapping clauses to vector databases to enable high-speed comparison searches.
04
Risk Audit Pipeline: Scanning agreements to evaluate risk levels based on approved compliance guidelines.
05
Collab Interface: Interactive review workspaces where legal teams can compare text with recommended templates.
Measurable outcomes

Reduced legal document review times by 82%, allowing agreements to be finalized in minutes instead of days.

Identified and flagged major risk and liability deviations in 14% of historical active contracts.

Saved $1.4M in external consulting and legal counsel spend during the first 9 months of operation.

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