CIO/CTO & Digital Transformation
Technology leaders inherit a patchwork of country-specific document tools, custom integrations, and manual processes that resist consolidation. Each new entity, country, or mandate adds another point solution, and the integration surface grows faster than the team maintaining it.
Staple AI replaces that patchwork with one first-mile platform that handles ingestion, extraction, verification, reconciliation, and delivery across every entity, language, and format your enterprise produces.
The Consolidation Problem Technology Leaders Face
Document processing is rarely on the IT roadmap, but it blocks everything that depends on clean data: ERP migrations, shared-service buildouts, automation programs, and AI initiatives. Legacy tools are embedded in local processes, and replacing them one at a time creates years of parallel running.
Staple replaces the processing layer without replacing the systems around it, connecting through pre-built SAP ERP modules, Yonyou BIP and OA integrations, Oracle, Coupa, RPA platforms, and a native API, with no middleware required.
How Staple Fits a Technology Modernization Strategy
One Platform Across Entities and Countries
Deploy one platform that processes documents across 300+ languages with native support for Asian scripts: Bahasa Indonesia, Bahasa Malaysia, Simplified and Traditional Chinese, Korean, Thai, Vietnamese, and Japanese. Translation happens inside extraction, not as a separate pre-step. Both original source-language and normalized values are retained.
Pre-Built Enterprise Integrations
Three pre-built SAP ERP modules, SAP Concur (listed on SAP App Center across 60 countries), SAP S/4HANA, SAP Ariba, SAP Business One, Yonyou BIP (invoice ingestion tied to goods receipt, data completion from related documents, review document step, closed-loop submission), and Yonyou OA (unified intake, automatic classification, routing into the right process). Also integrates with Oracle, Coupa, and RPA platforms through API.
Data Residency Enforced at Infrastructure Level
Four regional environments: Singapore, EU, US, China. Residency is enforced at the egress boundary. Data tagged to a region is physically blocked from leaving it. This is infrastructure, not a configuration flag or contractual clause. RBAC controls who views raw documents, who can access search, and which documents a user can see.
AI-Ready Outputs with Evidence
Every extraction carries per-field confidence scores, a complete audit trail, and versioned model references. Outputs are structured, verified, and ready for downstream AI systems to act on, with the provenance chain intact. ISO 42001 certification (AI management systems) supports explainability requirements.
Self-Serve Configuration
No-code configuration lets business teams define document types, fields, line-item headers, data types, queue rules, validation logic, set-values, and routing without developer involvement. A self-serve data mapper builds lookup rules (vendor name to vendor code) and assigns them to a queue.
Results from Technology-Led Deployments
Global investment bank ($12.8bn+ revenue, 17,000+ employees, 5+ countries): eliminated 800+ document templates, 99.6% accuracy at 3 to 6 seconds per document, integrated via API and SSO across back and middle office.
foodpanda ($10.5B revenue, 11 countries in Southeast Asia): 750,000+ documents a year across 5 languages (Chinese, Thai, Bahasa, Tagalog, Bengali), three-way matching against POs and GRNs, integrated with warehouse management, 97.99% accuracy, absorbed volume growth with no additional hires.
Staple does not replace your ERP, your data warehouse, or your business intelligence layer. It makes the data entering those systems trustworthy before they act on it.
See How Consolidation Works in Practice
Ask for a technical architecture review showing how Staple replaces country-specific tools and connects to your existing enterprise systems.
See Staple process your documents
Book a 30-minute demo with a document processing specialist.
Not ready yet?
Take your time to decide.