Blockchain-based KYC/AML Compliance for Retail Banks: A Scalable ICT Solution
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: KYC/AML in the Banking Sector
- 2.2Conceptual Review: Blockchain and Smart Contracts for Compliance
- 2.3Conceptual Review: Scalability Challenges in Bank ICT Solutions
- 2.4Theoretical Framework: Institutional Theory Applied to Compliance Tech
- 2.5Theoretical Framework: Technology-Organization-Environment (TOE) Framework
- 2.6Empirical Review: KYC/AML Technologies in Retail Banks
- 2.7Empirical Review: Blockchain Deployments in Financial Services
- 2.8Empirical Review: Data Privacy and Regulatory Compliance
- 2.9Empirical Review: Interoperability and Standards for KYC Data
- 2.10Empirical Review: Risk Management and Fraud Detection with Blockchain
- 2.11Gaps in the Literature: Lack of Scalable, Cross-Border KYC Solutions
- 2.12Conceptual Model: Integrated ICT-KYC/AML Framework
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Mixed-Methods for Blockchain-based KYC/AML
- 3.2Philosophical Paradigm: Pragmatism in ICT-Driven Compliance Research
- 3.3Population of the Study: Retail Banks and Compliance Vendors
- 3.4Sampling Frame, Sample Size and Sampling Technique
- 3.5Data Sources: Primary and Secondary Data
- 3.6Instrumentation: Survey and Interview Protocols
- 3.7Validity and Reliability of Instruments
- 3.8Data Collection Procedures
- 3.9Data Analysis Techniques: Quantitative and Qualitative Integration
- 3.10Model Specification: Blockchain-based KYC Data Exchange and Compliance Model
- 3.11Ethical Considerations: Privacy, Consent, and Data Security
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Data Presentation: Descriptive Statistics of Respondents
- 4.2Descriptive Analysis: Systematic KYC/AML Requirements Across Banks
- 4.3Hypotheses Testing: Impact of Blockchain KYC on Compliance Time
- 4.4Hypotheses Testing: Cost-Benefit of Scalable KYC Infrastructure
- 4.5Hypotheses Testing: Interoperability with Regulators and Third-Party Providers
- 4.6Inferential Analysis: Risk Reduction and Fraud Deterrence
- 4.7Thematic Analysis: Stakeholder Perceptions of Privacy and Data Sovereignty
- 4.8Discussion of Findings: Alignment with Theoretical Frameworks and Prior Studies
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contribution to Knowledge
- 5.4Practical Recommendations for Banks and Regulators
- 5.5Recommendations for Future Research
Thesis Abstract
Blockchain-enabled KYC/AML processes offer a transformative approach to enhancing regulatory compliance, client onboarding efficiency, and risk management in retail banking amid rising operational costs and evolving supervisory expectations. The study addresses the persistent gaps between traditional KYC/AML workflows and the need for scalable, tamper-evident, and privacy-preserving mechanisms that support real-time risk assessment while ensuring data sovereignty. The aim is to evaluate the feasibility, performance, and governance implications of a blockchain-based KYC/AML solution deployed across multiple retail banking subsidiaries, with a focus on scalability, interoperability, and regulatory alignment. Specific objectives include (1) designing a pragmatic architecture that integrates customer data tokenization, permissioned blockchain networks, and standardized data exchange protocols; (2) assessing operational efficiency gains in onboarding time, due diligence turnaround, and ongoing screening against sanctions and PEP lists; (3) examining risk management outcomes, including data integrity, auditability, and resilience against cyber threats; (4) evaluating regulatory compliance, data privacy, and consent management under applicable frameworks (e.g., GDPR, FATF recommendations); and (5) identifying governance, cost, and change-management requirements for broad-based adoption. A mixed-methods research design combines quantitative and qualitative strands. The population comprises five mid-to-large retail banks operating in a mature regulatory environment, with a purposive sample of 12 business units actively involved in KYC/AML processes and 60 frontline staff for workflow data. Data collection instruments include (i) system trace logs and operational dashboards from a pilot blockchain KYC/AML module (n=1,200 onboarding cases, 6 months of activity); (ii) structured surveys measuring onboarding time, rework rates, false positives in alerts, and user satisfaction (response rate ? 68%, N ? 240); (iii) semi-structured interviews with compliance officers, IT architects, and regulatory liaison staff (n ? 18); and (iv) documentary evidence such as policy documents, audit reports, and incident logs. Analytical methods encompass regression analysis to quantify time-to-onboard improvements and cost savings, survival analysis for onboarding cycle duration, and ANOVA to compare performance across units and banks. On the qualitative side, thematic analysis of interview transcripts will identify enablers and barriers to implementation, governance challenges, and perceived regulatory risk. Theoretical grounding draws on the Technology-Organization-Environment (TOE) framework to explain adoption determinants and the Institutional Theory to interpret regulatory alignment and legitimacy. A conceptual model will map blockchain characteristics (immutability, decentralization, permissioning) to KYC/AML outcomes (data integrity, traceability, privacy). Expected findings include statistically significant reductions in average onboarding time (target reduction 25–40%), lower due diligence rework rates (20–35%), and improved accuracy of sanction/PEP screening due to automated, auditable provenance of data. The study anticipates enhanced data integrity and non-repudiation benefits from immutable ledgers, alongside robust access controls and consent management that satisfy privacy requirements. Potential trade-offs involve data availability versus privacy by design and the need for interoperable standards to facilitate cross-institution data sharing while preserving competitive and regulatory obligations. The contribution to knowledge lies in providing empirical evidence on the operational viability, risk governance, and regulatory compatibility of scalable ICT-driven KYC/AML processes in retail banking, including a reference architecture, implementation guidelines, and a governance framework adaptable to diverse regulatory regimes. The conclusion is that a well-governed, permissioned blockchain KYC/AML solution can deliver meaningful efficiency gains and strengthened compliance without compromising customer privacy or data security, given careful alignment with regulatory expectations, robust identity verification processes, and clear data-sharing protocols. Recommendations include (i) adopting a modular, standards-based architecture to enable incremental rollout across regions; (ii) establishing a central governance body with clear data ownership, access rights, and audit procedures; (iii) implementing privacy-preserving techniques such as zero-knowledge proofs and selective disclosure where appropriate; and (iv) developing a continuous monitoring program to assess performance, security incidents, and regulatory changes, ensuring sustained alignment with evolving FATF guidelines and GDPR mandates.
Thesis Overview
Blockchain-based KYC/AML Compliance for Retail Banks: A Scalable ICT Solution is about using blockchain technology to streamline customer identification (KYC) and anti-money-laundering (AML) processes in retail banks. The goal is to reduce duplication, improve data accuracy, and strengthen oversight by enabling secure, interoperable, and verifiable sharing of compliant customer information across institutions and regulators.
Why it matters: Banks face high costs and compliance risk from fragmented KYC/AML processes, inconsistent data, and delays in customer onboarding. A scalable blockchain solution can provide a tamper-evident, permissioned ledger where verified identity data and risk assessments are recorded once and accessed by authorized parties under strict privacy controls, potentially lowering onboarding times, reducing compliance costs, and improving detection of illicit activity.
Research problem and knowledge gap: While blockchain holds promise for KYC/AML, there is limited empirical evidence on its practical deployment, governance, performance, and regulatory alignment in retail banking. The study investigates how a scalable, ICT-driven architecture can balance data privacy, access control, and interoperability while meeting evolving regulatory expectations.
What the researcher will do (step by step):
- Conduct a literature scan to identify existing KYC/AML processes, blockchain pilots, and governance models.
- Design a conceptual architecture for a permissioned blockchain-based KYC/AML system, including data minimization, identity proofing, risk scoring, and access policies.
- Develop a small-scale prototype or simulation of the system using a sample of anonymized customer records and mock regulatory workflows.
- Collect data through interviews with bank compliance officers, IT architects, and regulators, plus observations from the prototype test.
- Analyze data using qualitative thematic analysis for governance and workflow insights, and quantitative methods such as regression analysis to explore time-to-onboard and cost implications.
- Evaluate performance metrics (latency, throughput, data privacy safeguards) under different load scenarios.
- Identify governance, interoperability, and regulatory alignment challenges and propose a roadmap for operational deployment.
Expected contributions: providing a practical blueprint for scalable, privacy-preserving blockchain KYC/AML systems in retail banking; offering governance models and interoperability guidelines; delivering empirical evidence on efficiency gains and risk management improvements; and outlining a regulatory-compliant deployment pathway.
Outcome: a validated architectural framework, an implementation roadmap, and actionable recommendations for banks and regulators to adopt blockchain-enabled KYC/AML efficiently and securely.