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P1 · PRODUCT HERO
07 · COMPLIANCE · AML & FINANCIAL CRIME INTELLIGENCE PLATFORM

Detect Financial Crime Before It Becomes Regulatory Exposure.

8 specialised AML stages — behavioural profiling, entity network analysis, ML scoring, prioritised alert queues, investigation workspace, and AI-assisted SAR drafting.

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[PRODUCT HERO VISUAL]

NOVA mascot (small, 80px) + TRACE product dashboard preview
Domain accent colour applied
50–65%
False positive reduction
40%
Investigator productivity improvement
60%
SAR drafting time reduction
Sub-min
Alert detection latency
DESIGN NOTE: Hero split layout. Metrics strip spans full width below. Dark section with domain accent colour for metric numbers.
EXPLORE ALL PRODUCTS
P2 · PROBLEM
THE PROBLEM

Why does this function break down?

Legacy AML systems were built for a different era. Rule-based engines flood investigators with false positives. System integrations take years. Financial crime moves faster than compliance teams can respond.

False Positive Overload

Investigators spend 90% of their time reviewing alerts that go nowhere. Real suspicious activity is buried in noise. SAR filing quality suffers.

Slow Deployment

Legacy AML implementations take 18-24 months. Financial crime doesn't pause for your deployment cycle.

Static Rules Miss Dynamic Patterns

Rule-based systems miss sophisticated layering schemes and emerging typologies. Criminals adapt faster than rule updates can follow.

P3 · OVERVIEW
WHAT TRACE DOES

How TRACE solves this

What TRACE Owns

Transaction monitoring, sanctions screening, and AML alert management for banks. AI-powered risk scoring replaces static rules with adaptive intelligence.

How It Works

Pre-built connectors for Finacle, Temenos, and BankWare eliminate custom integration. TRACE is in production in 6-8 weeks — not 24 months.

What You Control

Risk appetite settings, typology ruleset customisation, and alert disposition workflows. TRACE applies your AML framework, not a generic one.

[PRODUCT ARCHITECTURE DIAGRAM]

Visual: TRACE platform connecting to enterprise systems
Integration layer + AI agent layer + data layer
P4 · HOW IT WORKS
AUTONOMOUS WORKFLOW

The TRACE Workflow — 8 Connected Stages

2 AI agents · 0 automated stages · Each connected to the next · Input to outcome without manual intervention

💸1. Transaction Feed
INPUT
👤2. Behavioural Profiling
AI ENGINE
🌐3. Network Analysis
AI ENGINE
🤖4. ML Scoring Engine
AI AGENT
🔔5. Alert Prioritisation
OUTPUT
🔬6. Case Management
PLATFORM
📋7. SAR Generation
AI AGENT
8. Crime Detected
OUTCOME
1 · INPUT
💸
Transaction Feed

Real-time transactions ingested

Real-time feeds · Historical batch processing

2 · AI ENGINE
👤
Behavioural Profiling

Customer baseline intelligence

Segment-level baselines · Continuous profile updates

3 · AI ENGINE
🌐
Network Analysis

Entity relationship mapping

Graph-based relationship mapping · Layering detection

4 · AI AGENT
🤖
ML Scoring Engine

Dynamic alert prioritisation

Supervised learning model · Investigator feedback loop

5 · OUTPUT
🔔
Alert Prioritisation

Ranked, contextualised queue

Risk-ranked queue · Contributing factor breakdown

6 · PLATFORM
🔬
Case Management

Investigation workspace

Case linking · Supervisor escalation workflow

7 · AI AGENT
📋
SAR Generation

AI-assisted narrative drafting

Auto narrative generation · Regulatory template alignment

8 · OUTCOME
Crime Detected

Genuine risk, actionable intelligence

Genuine risk detection · Regulatory confidence

AI AGENTS DEPLOYED
ML Scoring Engine SAR Generation
DESIGN NOTE: 8-stage autonomous workflow. Stage type labels: AI AGENT (intelligent decisions), AUTOMATED (rule-based execution), PLATFORM (infrastructure), AI ENGINE (ML/NLP), INPUT (trigger), OUTPUT (result), OUTCOME (final state). Prototype: each card expands to tooltip with full description and feature list.
P5 · FEATURES
CAPABILITIES

What TRACE can do

🔎
AI Transaction Monitoring

Behaviour-based monitoring detects layering, structuring, and emerging typologies that rules miss.

Real-Time Sanctions Screening

Every transaction screened against OFAC, UN, EU, and RBI watchlists in real time. Zero delay.

📄
SAR Pre-Population

TRACE generates draft SAR/STR reports from alert data. Investigators review and submit — not write from scratch.

Pre-Built Core Banking Connectors

Finacle, Temenos, BankWare connectors ready. 6-8 week deployment, not 24-month integration project.

📈
Risk Scoring & Customer Risk Profile

Dynamic customer risk profiles updated continuously. High-risk customers flagged for enhanced due diligence automatically.

📋
Alert Prioritisation Queue

Alerts ranked by risk score. Investigators work highest-risk cases first. No alert missed.

🔒
100% Audit Trail

Every alert, decision, and disposition logged. Regulatory examination ready.

🌐
Multi-Jurisdiction Typologies

FATF, FinCEN, and regional typology libraries built in. Local rules configured per jurisdiction.

P6 · USE CASES
IN PRACTICE

How enterprises use TRACE

Use Case 1

AML Programme Modernisation

Mid-Size Bank

Legacy rule-based AML system replaced with TRACE in 8 weeks. False positive rate drops 75%. Investigation team capacity freed for quality SAR work.

Outcome: 75% false positive reduction
Use Case 2

Real-Time Sanctions Compliance

Commercial Bank / NBFC

Every outgoing payment screened against latest watchlists before processing. Zero sanctions breaches. Zero manual checks.

Outcome: Real-time, zero manual
Use Case 3

New Bank AML Foundation

Greenfield / Digital Bank

TRACE deployed as foundational AML layer for new bank launch. Production-ready compliance from Day 1 without multi-year implementation.

Outcome: 6-8 weeks to production
P7 · INTEGRATIONS
ORCHESTRATED INTELLIGENCE

TRACE works best with

TRACE is powerful alone. Connected to other GNX suites, it eliminates entire categories of manual work across functions.

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PRISM covers broad enterprise compliance and document intelligence; TRACE specialises in AML for banks. Together: complete financial crime and compliance coverage.
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TRACE alert and disposition data feeds IRIS for compliance analytics, SAR filing trends, and board-level risk reporting.
→ See all 13 products and how they connect
P8 · INDUSTRIES
WHERE TRACE IS DEPLOYED

Industries that use TRACE

TRACE is deployed across enterprises in the following sectors:

Banking & BFSI
NBFCs
Payment Processors
Insurance
FinTech
→ See GNX across all industries
P9 · CTA
READY TO START

AML in production in 8 weeks.

See TRACE connect to your core banking system and catch a suspicious transaction — live.

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