Industry

AI Document Intelligence for Banking

From onboarding to trade finance, PrismIQ structures the documents your processes depend on — with the controls, traceability and deployment options banks require.

Challenges

What slows document work down in banking

Onboarding speed versus control

Every extra day of document checking costs conversions, while every shortcut increases regulatory exposure.

Document variety

Identity documents, address proofs, income evidence, corporate registrations and trade documents each behave differently.

Branch-to-branch inconsistency

The same file can be assessed differently depending on who receives it and where.

Evidence on demand

Regulators and auditors ask what was checked, when, and on the basis of which document.

Documents

Document types processed

National IDs, passports and driving licencesUtility bills and tenancy contractsSalary certificates and bank statementsTrade licences and company registration documentsLoan application and security documentsLetters of credit and trade presentationsCheques and account maintenance forms

Integration

Systems PrismIQ connects to

Core banking systemsCRM and onboarding platformsTrade finance platformsDocument managementREST APIRPA platforms

AI agents

Agents configured for this sector

KYC & Customer Onboarding Agent

Reads identity and address documents, verifies consistency across the file, scores image quality and completes the onboarding checklist.

Trade Finance Document Agent

Parses credits and amendments, extracts presented documents and produces cross-document discrepancy candidates for the examiner.

Lending File Agent

Structures income and financial documents into data that supports affordability and credit assessment.

Workflow

A typical processing flow

  1. 1Intake from branch scan, mobile app, portal or API
  2. 2Image quality scoring and recapture prompts
  3. 3Classification of each document in the file
  4. 4Extraction and normalisation of fields
  5. 5Cross-document and policy validation
  6. 6Human review of exceptions only
  7. 7Structured data into core banking, CRM and the case file

Compliance & security

Controls and deployment

  • Deployment on-premise, in private cloud or hybrid so data can remain in-country
  • Role-based access control and segregation of duties
  • Complete audit trail: source document, extracted value, confidence and validating rule
  • Data retention and deletion policies configurable per document class
  • Designed to support regulatory reporting and inspection requirements in your jurisdiction

Use cases

Where organisations start

Retail account opening

Identity and address documents verified at the point of capture, with recapture requested while the customer is still present.

Corporate onboarding

Trade licences, registrations and authorised signatory documents structured into the corporate file.

Periodic KYC refresh

Bulk re-verification processed as a scheduled batch with exceptions queued for review.

LC document examination

Presentations compared against credit terms with named discrepancy candidates.

Outcomes

What changes for the business

Shorter onboarding cycles

Document checking stops being the bottleneck in account opening.

Consistent assessment

The same validations apply in every branch and channel.

Capacity for growth

Volume increases are absorbed without proportional headcount.

Inspection-ready evidence

Every decision input is traceable to its source document.

Outcomes describe the design intent of the platform. Actual results depend on document complexity, workflow design, integration requirements and deployment environment.

Frequently asked questions

Discuss document intelligence for banking

Book an enterprise demo and we will walk through your document types, validation rules and integration architecture.