AI Agents

Context

Built for banking in the Commercial onboarding stack, this agent is used when SME and corporate applications arrive with multiple documents that must agree—applications, certificates, registers, mandates, IDs, and proofs. It sits after initial extraction and before risk review, ensuring foundational fields line up across the pack.

What it does

The agent compares key attributes across all submitted documents and the case record—names, registration numbers, dates of incorporation, addresses, signatory IDs, and mandate terms—to spot mismatches, omissions, and stale items. It produces a structured set of cross-checks with field-level lineage (exact page and snippet), a simple pass/flag outcome for each attribute, and targeted prompts where clarification or a replacement document is required. Reviewers see precisely what disagrees, where it was found, and how to resolve it without rescanning the file.

Core AI functions

Multi-document alignment with OCR and entity extraction; normalization of formats (names, dates, ID patterns, addresses); fuzzy matching to handle common variants and transliterations; conflict detection that distinguishes critical contradictions from harmless differences; and confidence scoring that routes only material issues to humans. A consistency graph maintains “authoritative” values and updates them as better evidence arrives.

Problem solved

Manual reconciliation of fields across many documents is slow and error-prone. Small inconsistencies (name variants, outdated addresses, expired IDs) trigger back-and-forth, late corrections, and avoidable escalations.

Business impact

Onboarding moves faster with fewer exceptions because discrepancies are caught early and resolved with precise asks. Data quality improves at source, rework and review time drop, and audit readiness strengthens through click-through links from each flag to its evidence.

Integration and adjacent use cases

Integration is light: ingest documents from portal/branch capture, email, or DMS; read the working case record; and write cross-check results and targeted prompts into your onboarding/orchestration layer—no changes to cores.

Common combinations in this stack include:

• Company identity extractor (to anchor legal fields),

• Shareholder & beneficial ownership validator (to align owner names and percentages),

• Authorized signatory & empowerment validator (to reconcile signatory IDs and mandate terms),

• Business address & location verifier (to unify registered/operating addresses),

• Jurisdiction-specific kyc validator (to apply local rules to the reconciled data), and

• Document completeness & clarification agent (to issue the exact ask-backs required to close gaps).