Santiago
London
Books IQ_
Intelligent automation for balance sheet data extraction.
Volume
Format Diversity
Manual processing of hundreds of financial statements in heterogeneous formats —PDFs, eight-column balances, IFRS— creates critical delays in credit approval.
Multi-Format Reading
Automatic digitization of any financial document with computer vision precision, regardless of the source or file structure.
Accuracy
Human Error in Data Entry
Manual transcription of accounting figures is highly prone to errors that directly affect the quality of credit risk assessment.
AI-Powered Extraction
Advanced OCR that captures and structures accounting data with high precision, automatically validating mathematical balance.
Standardization
Inefficiency in Account Mapping
Time spent mapping each client's accounts to the bank's taxonomy severely limits response capacity during high-demand periods.
Intelligent Mapping
Classification engine that automatically suggests account mapping according to the institution's specific chart of accounts, for analyst validation in seconds.
Transforms unstructured financial documents into actionable risk intelligence.
Impacto estratégico
Operational Efficiency
80% reduction in financial statement processing time.
Risk Mitigation
Elimination of data entry errors and complete standardization of analyzed information.
Scalability
Capacity to absorb peaks of up to 1,500 companies monthly without increasing staff.
Response Agility
Dramatic improvement in approval times for corporate credit requests.
Success Stories
Intelligent balance sheet extraction and classification platform for BCI's corporate credit unit, with capacity to process up to 1,500 companies monthly and 80% reduction in analysis time.