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INDUSTRY

Financial Services

Customer data, compliance reporting, risk-control workflows and security audits.

Pain points

  • Manual KYC review queues with 3–5 day SLA against a 24-hour customer expectation
  • Customer data fragmented across core banking, CRM, app, and reporting tools
  • Cloud adoption blocked by unclear MAS TRM compliance posture
  • AI initiatives stalled at PoC because of data residency / fairness concerns

Our approach

  • MAS TRM-aligned reference architecture (PDPA, data residency, encryption, audit, vendor risk)
  • Identity resolution + KYC engine that consumes MyInfo + sanction screening
  • Risk scoring on Azure ML or Databricks, explainable by design
  • Real-time event-driven CDP feeding personalization, fraud and CX teams from one source

Compliance baseline

  • MAS Technology Risk Management Guidelines
  • Singapore PDPA
  • MAS Notice 626 (AML/CFT)

Industry context

Singapore financial services runs from Tier-1 retail banks through a long tail of MAS-licensed digital fintechs to a steady flow of new insurtech entrants. All of them face the same gap: regulator-grade data discipline with fintech-grade time-to-market.

What we usually deliver

The foundation is a MAS TRM-aligned landing zone on Azure (or hybrid, with the on-prem core banking stack). On top of it we lay a real-time customer data platform with PDPA-aware identity resolution, a KYC engine that auto-clears the straight-through cases and hands judgement calls back to human reviewers, and risk-scoring models you can actually explain to an auditor.

Constraints we design around

Audit-grade delivery, grant-ready by design

Every FS engagement is delivered to MAS TRM audit-grade documentation standards — architecture decision records, data-flow inventory, control mappings, change logs, regulator-ready readouts. That’s the baseline, whether or not you’re chasing a grant.

If you choose to apply for PSG (general IT productivity), the FSTI Innovation Grant (FS-specific, larger ticket) or EDG (project basis), the same artefacts work as evidence in the application. We share the documentation. The application stays yours to own.

Other industries

Dive Deeper

Talk to us

Start with the problem. The solution comes after.

A 30-minute call with a solution architect. No spec needed — just tell us where the business is stuck. Systems that don't talk. Data that won't behave. An overseas office with no one running IT. A DR plan on paper that no one has tested. A first AI use case you want to try for real. If we fit, we'll show you the next step. If not, we'll tell you straight.