back_office_ops · saas · workflow
Staple AI achieves 98% document accuracy and 99.999%+ data extraction accuracy with Google Cloud AI
Customer organizations face a considerable workload processing large volumes of documents across diverse types, languages, and formats, and Staple AI needed AI products that could meet strict accuracy SLAs and multi-language support to automate this at scale.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Document ingestion
The platform ingests any type of document — such as invoices, contracts, ID cards, or data files — regardless of its language, layout, or format.
Tools used
Cloud Vision APICloud Translation APIGemini FlashGemini ProVertex AIBigQueryGoogle Kubernetes EngineGoogle Workspace
Outcome
Staple AI achieved 98% document-level accuracy and 99.999%+ data inference accuracy across tens of millions of documents per customer each year, removed PII from over 1 million documents in two days, and delivers AI-powered document processing in 300+ languages.
Results
Time savedover 1 million documents in two days
Volume98%
Grounding & classification
Source type: vendor customer story
37 fields verified against source quotes.
data extractiondocument classificationidpocrsummarizationtranslationcontractid documentinvoicemetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareaccuracy improvementemployee productivitythroughput increasevendor customer storyback office opscompliance monitoringinvoice processingdocument to recordextract classify route