AI-Driven Compliance Intelligence for BFSI Institutions

Regulatory obligations in Singapore and Malaysia's banking and financial services sector are growing in volume, specificity, and enforcement intensity. MAS and BNM expect institutions not just to comply, but to demonstrate systematic, evidence-backed compliance, and the cost of falling short has never been higher.

Sciente delivers productised AI and data solutions that translate regulatory mandates into operational outcomes. Our approach is additive: every solution sits alongside your existing platforms, expands on demonstrated results, and is built to withstand regulatory examination.

That's why leading banks and financial institutions in Singapore and Malaysia work with us.

Our Solution Suite: Bridging Regulatory Depth and AI Delivery for GRC and Financial Crime Compliance

Sciente is a Singapore-headquartered data and AI consulting firm with 19 years of BFSI technology delivery experience. Our GRC and Financial Crime Compliance practice is built to fill the structural gap in the market.

We build productised AI solutions anchored to specific regulatory mandates - MAS Notice 626, MAS Notice 658, BNM AML/CFT Policy, FATF Recommendation 24, and deliver them as defined-scope engagements that expand into recurring managed service relationships. Our technology stack — Dataiku for AI and ML orchestration, Neo4j for graph analytics, AWS for MAS-aligned cloud infrastructure, is chosen for auditability, explainability, and regulatory defensibility. Every solution we build is designed to produce evidence that holds up under supervisory examination.

We are also deliberate about what we commit to. We enter with a focused engagement and expand based on demonstrated results. If Sciente is not the right partner for your specific situation, we will tell you that directly.

AML Signal - Financial Crime Compliance Transformation

AML detection systems in most institutions generate alert volumes that overwhelm compliance teams, with false positive rates that direct analyst effort away from genuine financial crime risk. Investigators spend the majority of their time closing alerts they did not need to open, while the risk that matters waits in the queue.

AML Signal applies machine learning to reduce alert noise, prioritise investigative effort, and produce auditable, MAS Notice 626-aligned outcomes. The solution is deployed alongside your existing transaction monitoring platform - Actimize, Oracle Mantas, or equivalent - without displacing it. Alert triage, typology-informed risk scoring, model explainability for regulatory examination, and a complete audit trail are built in from day one.

AML Signal expands naturally into Graph Signal for beneficial ownership and perpetual KYC, giving institutions a connected financial crime intelligence capability built on a single trusted data foundation.

Control Signal - AI-Powered Control Testing as a Service

Control testing across most banks remains annual, sample-based, and heavily manual. Compliance and internal audit teams spend months producing testing evidence that covers a fraction of the control population - leaving significant gaps that examiners increasingly identify during supervisory reviews.

Control Signal replaces periodic manual reviews with continuous, AI-assisted testing across control domains, producing defensible, examiner-ready evidence for internal audit and regulatory oversight. The solution is delivered as a modular service - domain by domain, starting where risk and urgency are highest - with each module generating reusable testing IP and building the business case for the next.

Control Signal is GRC platform-agnostic and integrates alongside MetricStream, ServiceNow GRC, AuditBoard, and equivalent platforms without requiring displacement. Coverage domains include AML controls, operational risk, credit risk controls, and conduct risk, with the framework extending to any area where systematic control evidence is required.

Graph Signal - UBO Discovery and Perpetual KYC

Beneficial ownership resolution across multi-layer corporate structures is one of the most labour-intensive and error-prone processes in customer due diligence. Manual ownership tracing across holding companies, trusts, and nominee arrangements takes days, produces incomplete chains, and leaves institutions exposed to the exact structures that financial crime exploits.

Graph Signal uses graph analytics to traverse ownership chains to any depth, detect circularity and nominee patterns, screen every node in the chain against sanctions and PEP lists, and flag material changes in real time as registry data updates. The solution integrates with ACRA BizFile+ and SSM MyData, and processes customer-submitted documents through an AI-powered extraction pipeline that converts unstructured legal documents into structured ownership assertions.

Deployable as a standalone solution or as an intelligence module within AML Signal. Available as a client-deployed solution on Neo4j Enterprise, or as a fully managed Sciente service by Sciente - both Cypher-compatible, with identical outputs and a commercial distinction only.
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AI-Powered Financial Statement Risk Engine (FSRE) - From random sampling to systematic surveillance

Regulators have small teams monitoring thousands of listed companies. Banks lend against financials they cannot continuously verify. Institutional investors hold positions in entities they cannot systematically watch. The common structural problem is the same: sophisticated financial frauds - related-party manipulation, circular trading, hidden ownership networks - slip through until a collapse occurs.

FSRE is an AI-powered surveillance engine that reads every public filing, maps corporate relationship networks, identifies financial red-flag indicators, and produces a ranked watchlist with evidence-backed risk classifications. Every finding is grounded in a citeable source, a specific disclosure, a registry record, a regulatory filing, making output examination-ready and investigation-ready from the outset. The engine moves institutions from reactive, random sampling to systematic, full-coverage surveillance.

FSRE addresses need across market regulators and central banks, trade finance and corporate lending, asset managers and institutional investors, external audit firms, M&A due diligence, sovereign and pension fund portfolio oversight, stock exchanges and listing sponsors, tax authorities, and forensic investigations - anywhere that financial statement integrity and hidden ownership carry material risk.

What makes us different

We occupy a distinct position: deep MAS and BNM regulatory domain knowledge, combined with the AI and data engineering capability to build and operate solutions that are actually delivered.
MAS & BNM regulatory depth
Our GRC practice is staffed by practitioners with direct MAS and BNM regulatory experience.
AI and data engineering, not just advisory
Dataiku for ML orchestration, graph analytics for UBO resolution, and AWS for secure BFSI-grade infrastructure.
Productised for speed-to-value
Our delivery model is built for the complexity of BFSI procurement and the expectations of a regulated client environment.
Additive - not a platform replacement
SCIENTE solutions sit alongside your existing technology. No incumbent displacement required.
Singapore-HQ, regionally embedded
Sciente understands the MAS/BNM supervisory examination cycle, the dynamics of regional bank procurement, and the institutional context.
Built to scale - not to over-promise
Our commercial model is built around recurring relationships, not one-off projects. We are direct about where Sciente is the right partner.
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Our Sciente

It's not just what we do, but how well we do it. Our innovative approach and commitment to exceeding expectations drive us all toward one mission: delighting our clients and community.
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