التحدي
A fintech client's reference database of records, entities, addresses and metadata needed to stay fresh for accurate KYC and risk decisions. A small analyst team manually cross-checked records against public and internal sources, only refreshing a fraction of the database each cycle.
ما الذي قمنا به
Built an automated agent that intelligently chooses which fields to validate, runs flexible search strategies, handles blocking conditions, and notifies the team only when it finds meaningful updates.
النتيجة
Automated cross-validation significantly reduced manual fact-checking, improved data freshness and accuracy, and created an adaptive intelligence layer over web data extraction that handles search complexity and record updates on its own.
Replaced manual cross-checking with an adaptive agent that keeps a KYC and risk database fresh on its own.
The agent prioritised which records and fields most needed revalidation, ran targeted search and matching strategies per record type, and surfaced only meaningful discrepancies for analyst review.