#KYC

Know Your Customer (KYC) verification is a regulatory requirement for financial services. These posts cover agent-driven KYC orchestration, Aadhaar-based identity verification, video KYC workflows under RBI guidelines, and the engineering patterns that make KYC processes both compliant and efficient. Each article includes implementation details for Go-based KYC services integrated with India's digital identity stack.

11 posts tagged with kyc. ← All posts

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Pratik Dhanave · ·6 min read

Building an AML Transaction Monitoring Rules Engine

Typology rules, sliding-window aggregation, alert scoring, and case management that feeds STR/SAR filing — treated as a streaming systems problem, not a compliance checkbox.

Teaches how to build AML transaction monitoring: typology rules (structuring, rapid movement, layering), sliding-window aggregation, alert scoring and deduplication, and case management feeding STR/SAR filing.

Pratik Dhanave · ·6 min read

Implementing the FATF Travel Rule Between VASPs

How to exchange originator and beneficiary data between crypto services before a transfer settles: counterparty discovery, IVMS101 payloads, and pre-transfer verification that gates the on-chain send.

Teaches how to implement the FATF Travel Rule between VASPs: originator/beneficiary PII exchange protocols (IVMS101, TRP/OpenVASP), counterparty VASP discovery, and pre-transfer verification before on-chain send.

Pratik Dhanave · ·6 min read

Resolving Ultimate Beneficial Ownership as a Graph Problem

Model corporate ownership as a graph, propagate percentages through the chains, handle the cycles that break naive traversal, and surface every natural person who controls more than 25 percent — with the evidence path attached.

Teaches how to compute ultimate beneficial ownership: modeling ownership as a graph, percentage-through-chain calculation, control vs ownership thresholds, and cycle handling to surface >25% beneficial owners.

Pratik Dhanave · ·7 min read

Building a Sanctions Screening Engine That Controls False Positives

How to ingest watchlists, match names across scripts and spellings, and turn a fuzzy score into an auditable clear, alert, or block.

Teaches how to build sanctions/watchlist screening: list ingestion (OFAC/UN/EU), transliteration and fuzzy name matching, scoring thresholds, whitelisting, and rescreening on list deltas to control false positives.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.