AI Agents

Context

Designed for banking in the Commercial onboarding stack, this agent is used when setting up SME or corporate relationships and a clean, evidenced view of the customer’s registered and operating addresses is required. Typical scenarios include new account opening, multi-product onboarding, and remediation where address details are inconsistent across documents.

What it does

The agent reads the submitted corporate pack and extracts address data for the legal entity and any declared operating locations. It reconciles street, city, postal code, and country across multiple sources (applications, certificates, utility or lease proofs) and normalizes formats to your data model. Where available, it validates addresses against trusted references and flags mismatches (for example, different street numbers, outdated postcodes, or PO-box-only submissions where physical premises are required). The output is a structured, verified address profile with field-level links back to the exact document and page used, so reviewers can confirm any value instantly.

Core AI functions

Document type detection and OCR tuned for address signals; entity/field extraction for registered and operating locations; normalization and de-duplication across documents; and cross-document consistency checks to spot discrepancies. Confidence scoring highlights low-certainty fields and creates targeted exceptions (e.g., missing unit number, partial postcode), keeping the process moving while specific clarifications are requested.

Problem solved

Address capture and verification are often delayed by inconsistent formats, outdated proofs, and manual re-keying. Small discrepancies trigger back-and-forth with customers and late corrections downstream.

Business impact

Onboarding moves faster with fewer exceptions and a cleaner master record. Operations spend less time reconciling addresses, auditability improves through document-to-field lineage, and downstream controls (mailing, risk checks, and service setup) start on accurate data.

Integration and adjacent use cases

Integration is light: ingest documents from portal/branch capture, email, or DMS; write verified address fields and evidence links into your onboarding/orchestration layer and customer master; no core changes required.

Common combinations include:

• Company identity extractor (to anchor the legal profile),

• Shareholder & beneficial ownership validator (for UBO context),

• Authorized signatory & empowerment validator (to align signatory IDs with location details),

• Document cross-check agent (to reconcile names/dates/addresses across files),

• Jurisdiction-specific KYC validator (to apply local address standards), and

• Document completeness & clarification agent (to trigger precise ask-backs for missing or expired proofs).