Maybank Compliance AI Transformation
Multi-Phase AML & Name Screening Journey
$18.3M
Hub Pipeline
$8M+
Total Influenced
~30% reduction
Review Time
$70K+/yr
Productivity
The Story
The Maybank engagement was one of the most technically complex and strategically significant multi-phase journeys in FY26. Working alongside Lead Hub SE Sally Chin and MY account teams, I served as the core technical architect driving compliance AI innovation.
Phase 1 (Sep 2025): In-person half-day workshop on compliance operating model, Name Screening & KYC pain points. Anchored Name Screening as first build candidate.
Phase 2 (Jan 2026): Designed entity resolution patterns, semantic search vs. deterministic rules using Azure AI Search & vector embeddings. Co-authored the Maybank Compliance High-level Architecture.
Phase 3 (Feb 2026): Led deep technical sessions on vector embedding strategy vs. fuzzy match for regulatory workflows. Mapped analyst journey across fragmented systems. Prioritized AML Narrative Copilot design.
Featured in Innovation Hub Asia Impact & Outlook Report. Vera Siertsema called out 'strong collaboration in making this win happen'.
Key Workstreams
Name Screening Solution Envisioning — Entity resolution, vector embeddings
Transaction Monitoring Architecture — Mantas/ECM/STR flow mapping
AML Narrative Copilot Design — ML + GenAI hybrid architecture
Data Vectorization Deep Dive — Semantic similarity vs. fuzzy match
Compliance High-Level Architecture — Fabric + OneLake + GoldenGate
Artifacts
Maybank Compliance High-Level Architecture
PowerPoint — End-to-End Compliance Architecture
Maybank Name Screening Solution Envisioning
PowerPoint — Entity Resolution & Vector Embeddings
Transaction Monitoring Use Case — Zones
PDF — L1-L3 AML Workflow
Microsoft AML Transformation with GenAI
PowerPoint — SAR Automation & Narrative Gen
Maybank KYC POV Discussion Document
PowerPoint — KYC/KYB Architecture
Agentic AI Transformation (Tri & Sally)
PowerPoint — Compliance Agents in M365 Copilot