Catch fraud early.
Close AML cases faster.

FinInsight AI investigates every transaction Safer Payments flags and writes the justification, blocks bot logins and catches edited documents, while iVerifier eKYC proves who your customer is.

FinInsight AI and iVerifier turn device, identity, document and AML signals into explainable risk decisionsFour signals feed FinInsight AI: a device signal that detected an emulator at login and was blocked, an iVerifier eKYC check that matched a selfie to a MyKad and verified the customer, a document check that found an edited payslip and flagged it, and a Safer Payments alert on a transfer linked to five mule accounts that opened an investigation. FinInsight AI combines them into one high risk score of 91 with explainable, audit-ready decisions.FRAUD AND FINANCIAL CRIME, CAUGHT EARLYDevice signalEmulator at loginBlockedeKYC checkSelfie matched to MyKadVerifiedDocument checkPayslip editedFlaggedSafer PaymentsTransfer to 5 mule accountsFlaggedFinInsight AIRisk score91High riskExplainable, source-cited, audit-ready decisionsDetect / Verify / Block / Investigate / Report

AI fraud detection, AML and eKYC for banks

Three capabilities share one risk view across digital channels, identities, documents and transactions, with iVerifier eKYC confirming the person behind each session. FinInsight AI and iVerifier work with Safer Payments and sit on top of your existing AML, transaction monitoring, KYC and CRM systems; they don’t replace them.

Device intelligence and eKYC

Block bots, verify real customers

Telemetry from web and mobile banking stops bot logins, emulators and compromised devices; iVerifier eKYC confirms the real person with face match and passive liveness.

AML case management

Turn alert noise into case clarity

Prioritise real risk, trace mule networks across accounts, and draft audit-ready SARs and STRs with AI.

Document fraud detection

Check payslips, bank statements and identity documents for signs of editing before an account or loan is approved.

faster level-1 AML investigations
0 %
fewer false positives
0 %

~12 min

to a ready-to-file SAR/STR draft, from ~2 hours

$0.5–0.8M

estimated annual savings for a mid-size bank

Figures reported by FinInsight AI. Results depend on your data, alert volumes and processes.

Safer Payments flags it.
FinInsight AI investigates it.

Safer Payments monitors transactions in real time and flags suspicious ones, but it doesn’t dig deeper into each flag, so false positives land on your analysts. FinInsight AI connects through APIs on both sides: it adds device context going in and investigates every flagged transaction coming out.

Richer context for real-time decisions

Device Intelligence passes session telemetry and behaviour signals to Safer Payments, so each transaction is scored with what happened on the device first.

Every flag investigated, not just queued

FinInsight AI pulls flagged transactions, gathers evidence from core banking, KYC, CRM and AML systems, and its AI model separates false positives from genuine risk.

Written reasoning, ready to file

Generative AI writes a source-cited justification for every cleared alert and drafts the case narrative and STR when risk is real. Analysts review and sign off.

No rip-and-replace: Safer Payments keeps making real-time decisions. FinInsight AI takes over the investigation and write-up work that analysts would otherwise do by hand.

Device intelligence and eKYC
for fraud prevention in digital banking

Scams and account takeovers play out in browser and app sessions. FinInsight AI Device Intelligence collects telemetry from your internet banking site and mobile app, blocks bot logins, emulators and compromised devices, and shares that context with Safer Payments; iVerifier eKYC proves the real customer, at account opening and whenever risk rises.

Block bot logins in real time

Device, browser, network and session signals from web and mobile banking are scored for every session, so bots, emulators and compromised devices are stopped at login.

Step up with iVerifier eKYC

Borderline sessions and high-risk changes, such as new device binding or contact-detail updates, get a live selfie matched to the ID with passive liveness.

Open accounts with e-KYC

Run document verification, biometric matching and liveness, the three checks in BNM’s e-KYC policy document, in one hosted session with scores, reason codes and a signed verdict.

Built for anti-scam controls: Malaysian banks already restrict app access when high-risk software or suspicious remote access is detected, and Singapore’s Shared Responsibility Framework (from 16 December 2024) expects real-time fraud surveillance. Device-level signals give those controls the evidence they need.

AML case management and investigation with AI

FinInsight AI is the AI-native layer for AML investigation teams: it picks up alerts from Safer Payments and AML screening, prioritises real risk, traces hidden networks across accounts and drafts audit-ready SARs and STRs, so investigators spend their time on the cases that matter.

Unified investigation context

Flagged transactions, KYC, alerts, documents and case notes pulled from your banking systems into entity-level timelines and graphs, with long-term behavioural memory across cases.

AI-led case prioritisation

Risk heuristics such as transaction profile, customer risk tier and alert repetition resolve low-risk alerts automatically, cutting false positives by up to 50%.

GenAI investigation and SAR

Explainable case summaries, investigative rationale with source-level reasoning, and ready-to-file STRs with built-in validation.

Real-time AML screening

Sanctions, PEP and adverse media screening, sub-second transaction risk evaluation, and thresholds tuned to each customer risk tier.

Mule networks and graph intelligence

Deep linkage across customer, account and transaction entities surfaces hidden relationships and mule clusters that static rules miss.

Explainable for examiners

Every flag ships with a human-readable, source-cited rationale, not a black-box score, and the engine keeps learning from investigator feedback.

Deploy and secure

On-premise, SaaS or hybrid; API-first into Safer Payments and your AML and transaction monitoring stack; zero PII persistence, full audit trails and role-based access. Most banks go live within a few weeks.

Document fraud detection
for onboarding and lending

Edited payslips, altered bank statements and doctored IDs are used to open accounts and obtain loans. FinInsight AI checks submitted documents for signs of tampering before approval, and sends anything suspicious to an analyst or an AML case.

Check before you approve

Screen payslips, bank statements, identity and business documents as they arrive in onboarding and loan cases.

Reasons, not just scores

Each flag explains what looks wrong, such as edited figures or inconsistent details, so analysts can decide quickly.

Connected to the case

Results are filed with the case in Alfresco, and suspected fraud can open an AML investigation with the evidence attached.

Pair it with iVerifier eKYC: when the document is an ID, iVerifier also checks that it is genuine and that its holder is present, with face match and passive liveness.

One governed backbone
for content, cases and APIs

FinInsight AI works best on a platform that keeps evidence, cases and APIs under control. Crest delivers each part on its own, and they fit together.

 

Alfresco Enterprise: federated documents and records with retention, audit and AI search, self-hosted for residency.

Onboarding, loan and card cases with SLAs, exceptions and evidence on Alfresco Process Services.

SignDex: PAdES-LTV signing inside your workflows, with every signed artefact filed as a governed record.

Kong Enterprise: mTLS, OIDC, OAuth, rate limits and observability for every channel and partner API.

iRetailOS: appointments, virtual queues and waiting-time visibility for every branch.

Terraform Enterprise, Vault Enterprise and StackGuard: codified infrastructure and short-lived, rotated credentials.

Banking and regulator
success stories

Crest Infosolutions designs, implements and supports these platforms for regulated organisations from offices in Malaysia, Singapore, Indonesia, India, the UAE and the USA.

Digital banking · Singapore

100+ workflows automated for a Singapore digital bank

A MAS-licensed digital bank runs account onboarding, customer data updates, loan origination and complaints on Alfresco Process Services on AWS. Customer onboarding now completes in minutes.

Regulator · Malaysia

Weeks to days for a Malaysian regulator

BPMN workflows for licensing, case handling and approvals, with records classification, retention and audit on one Alfresco platform.
Organisations that work with Crest include Arkib Negara Malaysia, the Malaysian Government, NLB and Trust Bank.

Controls that support AML/CFT, anti-scam
and data-protection obligations

Plan fraud, AML, identity and data controls together, against the frameworks your examiners and auditors use.

AML/CFT

Anti-scamx

BNM e-KYC

BNM RMiT

MAS TRM

PDPA

Compliance depends on your policies, configuration, operating procedures and audits. These platforms provide controls and evidence that support your compliance programme.

Obligations banks plan for

AML/CFT rules, such as Malaysia’s AMLA 2001 and MAS Notice 626 in Singapore, require banks to screen, investigate and report suspicious transactions. Anti-scam expectations are rising: Singapore’s Shared Responsibility Framework sets duties including real-time fraud surveillance, and Malaysian banks have added single-device registration, cooling-off periods and kill switches. BNM’s e-KYC policy document and RMiT policy, the MAS Technology Risk Management Guidelines, PCI DSS v4.0.1 and the PDPA, whose 2024 amendments add biometric data to sensitive personal data, shape identity, technology and data controls.

Where the controls sit

FinInsight AI: source-cited rationale, audit trails, role-based access and zero PII persistence for AML decisions and STR drafts. Safer Payments + FinInsight AI: a real-time decision trail plus a written investigation trail from flag to filed STR. Device Intelligence: session-level evidence for anti-scam controls. Alfresco: retention, classification and audit for case evidence. iVerifier: document verification, biometric matching and liveness for e-KYC. Kong: API authentication, rate limits and logs. Vault and StackGuard: short-lived, rotated credentials with no hard-coded secrets.

Fraud detection and AML case management FAQs

Practical answers for fraud, financial crime, compliance and technology teams.

What is FinInsight AI?

FinInsight AI is Crest’s AI layer for fighting fraud and financial crime in banks. It has three modules: Device Intelligence for web and mobile banking, AI-driven AML case management with SAR and STR drafting, and document fraud detection. It works with Safer Payments and sits on top of your existing AML, transaction monitoring, KYC and CRM systems.

It collects telemetry from your internet banking site and mobile app, detects suspicious browsers, emulators and compromised devices, and scores every session in real time. High-risk visitors can be blocked, or stepped up for extra verification, before they reach payments or account changes.

Safer Payments monitors transactions in real time and flags suspicious ones. FinInsight AI adds device and behaviour context for those decisions, then pulls each flagged transaction through APIs, gathers evidence from core banking, KYC, CRM and AML systems, and uses an AI model to separate false positives from genuine risk. Generative AI writes the justification for every outcome and drafts STRs for cases that need escalating.

No. Safer Payments or your transaction monitoring solution keeps making real-time decisions. FinInsight AI adds the investigation and case-management layer on top, connected through APIs, so there is no rip-and-replace. Most banks go live within a few weeks.

FinInsight AI brings transactions, KYC, alerts, documents and case notes into one investigation context, then applies risk heuristics such as transaction profile, customer risk tier and alert repetition to resolve low-risk alerts automatically. It reports up to 50% fewer false positives.

Yes. It generates explainable case summaries and investigative rationale with source-level reasoning, and drafts ready-to-file STRs with built-in validation. Investigators review and file them; FinInsight AI reports drafting time falling from about two hours to about 12 minutes.

FinInsight AI checks submitted documents for signs of editing, anomalies in metadata and structure, and inconsistencies across documents and the application, before approval. Each flag comes with reasons, so analysts can clear, review or decline, and suspected fraud can open an AML case.

FinInsight AI spots risky sessions, documents and accounts; iVerifier confirms the person. Use it at account opening, and as a step-up check when Device Intelligence or an AML case raises risk: one hosted session checks the ID document, matches a live selfie to it and runs passive liveness, then returns a signed verdict to your case.

FinInsight AI runs on-premise, as SaaS or hybrid, with zero PII persistence, full audit trails and role-based access. Crest lists SOC 2 Type II, ISO 27001, VAPT testing and GDPR compliance for FinInsight AI.

Crest also delivers the platform underneath: Alfresco document and records management and case management, iVerifier eKYC, SignDex signing, Kong API gateway, iRetailOS branch queue management, and Terraform, Vault and StackGuard for infrastructure and secrets.

See FinInsight AI on your own case queue.

Bring anonymised alerts, a document sample or a channel to protect, and we’ll show you the result in a 30-minute walkthrough.

Device intelligence

Telemetry · detection · bot blocking

eKYC management

iVerifier · document, face match, liveness

Safer Payments alerts

Investigate · justify · draft STRs

AML cases

Prioritise · trace networks

Document fraud

Payslips · statements · IDs

ECM & platform

Alfresco · Kong · SignDex · Vault

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