AI Banking & Document Extraction
Use AI-powered extraction to capture key details from banking certificates and operational documents.
Setting up a new building means entering banking details, vendor information, and document data — often from scanned certificates and PDFs that were never designed for easy data entry. Domera uses AI-powered extraction to read key fields from IBAN certificates, invoices, and operational documents, presenting structured values for review before anything is saved. The extraction supports Cyprus bank formats and validates results against known patterns, so your team catches errors during setup instead of discovering them during reconciliation. This cuts onboarding time significantly while improving the accuracy of critical account data.
Accelerate onboarding and reduce data entry errors for critical account information.
Data Entry Is the Bottleneck in Building Setup
When a management company onboards a new building, team members spend hours transcribing information from paper documents and PDFs: bank account details from IBAN certificates, vendor registration numbers from invoices, and coverage details from insurance policies. Each field transcribed manually is a potential error — a transposed digit in a bank account number, a misspelled vendor name, a wrong policy reference. These errors surface later as failed bank transfers, mismatched reconciliation records, or compliance gaps. Domera's AI extraction addresses this by reading documents and proposing structured values for human review.
How AI Extraction Works in Domera
Teams upload a source document — an IBAN certificate, an invoice, or an operational form — and Domera's extraction pipeline identifies key fields like account numbers, bank names, vendor details, amounts, and dates. The extracted values are presented with confidence indicators so reviewers can quickly verify accuracy. Nothing is saved automatically; every value goes through a human confirmation step before entering the system. This approach accelerates data entry while preserving the validation that financial data requires.
Cyprus-Specific Format Support
Cyprus banking documents follow specific formats that generic OCR tools often misread. Domera's extraction is tuned for local bank certificate layouts, including Bank of Cyprus, Hellenic Bank, and other major institutions. IBAN formats, SWIFT codes, and beneficiary name patterns are validated against known Cyprus banking standards. This local awareness reduces the false positives and formatting errors that teams encounter with general-purpose document processing tools.
From Extraction to Operational Confidence
Once extracted values are confirmed, they flow into the building's operational records — banking details for payment reconciliation, vendor data for expense tracking, and document metadata for the evidence archive. This creates a clean data foundation from day one, reducing the corrections and rework that plague buildings set up with manual entry alone. Teams gain speed during setup without sacrificing the data quality that downstream workflows depend on.
Why Teams Use This Feature
Speeds up setup for new buildings and accounts
Reduces copy/paste and transcription errors
Adds a validation layer before values are saved
IBAN certificate extraction workflows
European bank format support
Validation-first action pipeline
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