kyc_aml · finance · workflow

FinTrU Streamlines Regulatory Workflows with ABBYY Document AI

Analysts at FinTrU's investment bank clients were spending hours reviewing thousands of inconsistent, often hundreds-of-pages-long financial documents for KYC compliance and credit risk, with no automation capable of handling the volume, variety, and strict compliance requirements.

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 · Complex documents submitted
Financial regulatory documents ranging from structured forms to long, unstructured annual reports are submitted for processing.
Tools used
ABBYYOCRIDPTrU Label
Outcome

TrU Label, powered by ABBYY, achieved a 99% first-time pass rate in compliance review, 96% document classification accuracy, 40% improvement in document processing efficiency, 40% reduction in manual data entry errors, and 15% cost savings.

Results
Time saved99%
Volume96%
Cost replaced15%
Running sincelate 2023
Source

https://www.abbyy.com/customer-stories/fintru-document-ai-regulatory-automation/

How we source this →

Grounding & classification
Source type: vendor customer story
36 fields verified against source quotes.
data extractiondocument classificationidpocrcontracthuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedbankingfinancial servicesaccuracy improvementcost reductioncycle time reductionerror reductionvendor customer storycompliance monitoringkyc amllegal document reviewai draft human approvaldocument to recordextract classify routehuman review queue