3-phase engagement: 7 days specialist training (Weeks 1–6) → 16 days architecture advisory (Weeks 7–14) → embedded consultancy retainer (Months 4–12).
4 technical tracks: AI Systems Architecture, ML Engineering for Banking Compliance (AML/fraud/NLP), AI Governance (MAS/HKMA/EU AI Act), and Protum™ Operating Model — for batches of 10–20 engineers.
Includes 8-domain, 48-indicator capability assessment, Architecture Decision Records, and a 12-month timeline from discovery to production readiness.
What's Inside This Brief
The complete technical program for AI infrastructure teams in regulated banking, covering reference architecture, MLOps pipelines, zero-trust security, AML/fraud model lifecycle, regulatory compliance (MAS, HKMA, BNM, EU AI Act), bias testing, explainability (SHAP/LIME), and the Protum™ 3-2-1 operating model for AI engineering teams. Designed for Platform Engineers, ML Engineers, Data Scientists, Security Leads, and Engineering Managers.
Ready to Scope Your Engineering Program?
Download the brief and share it with your CTO or VP Engineering. It contains the full program structure, track-by-track curriculum, advisory scope, and engagement timeline — everything needed to evaluate fit for your AI infrastructure team.
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