Screening Intelligence
AI-assisted review of sanctions, PEP, watchlist and name-screening alerts.
AI-Powered Tools for Financial Crime Compliance
Agentic AML is TA Tech's human-supervised compliance platform. It helps teams analyse alerts, prepare customer reviews, investigate suspicious activity and produce consistent case documentation — complementing existing screening, monitoring, KYC and case-management systems.
Nine Intelligence Modules
AI-assisted compliance across the customer and transaction lifecycle. Institutions can adopt individual modules or implement a connected operating environment over time.
Adverse Media Intelligence
Multilingual identification, classification and summarisation of relevant negative news.
Monitoring Intelligence
Alert enrichment, transaction analysis, risk prioritisation and investigation support.
KYC Intelligence
Customer-data analysis, periodic review automation and CDD/EDD workflow support.
Investigation Intelligence
Case summarisation, evidence consolidation, workflow automation and investigator assistance.
Customer Risk Intelligence
Dynamic segmentation, risk scoring and explainable customer-risk analysis.
Network Intelligence
Entity resolution, relationship mapping and transaction-network analysis.
Reporting Intelligence
Assistance with investigation narratives, management reporting and STR preparation.
Governance Intelligence
Quality assurance, workflow controls, model monitoring and auditable decision records.
The Analyst Workspace
Agentic AML is designed around the daily reality of the compliance team: a prioritised queue, a single investigation pane, governed decisions and tunable models. These are the designed working views of the platform.
Previews below are illustrative static views — not live data.
Dashboard & Triage Queue
The analyst's primary inbox. Alerts arrive from existing monitoring systems and are sorted by AI risk score — highest risk first, not chronological — with false-positive probabilities shown per alert.
- AI risk-score ordering and alert levels
- Inbox summary: open, ended, total counts
- Link and delink alerts into single cases
- Bulk judgement and dismissal
- Maker–checker routing with full audit trail
- Configurable columns, filters and search
Smart Judgement
A decision-support workspace for each alert: the AI's risk breakdown, a recommended judgement, and a drafted narrative the analyst can regenerate and edit.
- Customer, account and transaction risk cards with sub-scores
- Factor-level score explanation
- AI suggestion with one-click apply (FP / TP / Unclassified)
- Analyst judgement always recorded separately from the AI's
- Standard-comment selection drives narrative drafting
- Regenerate and manually edit before submission
Investigation — Single Pane of Glass
One consolidated workspace per case: consolidated AI view, customer, account, transactions and network analytics — no switching between systems.
- Natural-language alert summary and AI reasoning
- Historical timeline of transactions and KYC changes
- KYC profile with risk-score explainability and factor weights
- 30-day behavioural insights and peer benchmarking
- Screening hits, whitelists and affiliated parties
- Node-and-edge network visualisation (mule and cluster detection)
Transaction Forensics
The transactions view doubles as a forensic workspace: AI observations, aggregated financial metrics, rule-hit analysis and granular ledger data.
- Significant observations and recommended action items
- Aggregated metrics: counts, min/max/average, totals
- Transaction risk-score breakdown over time
- Top monitoring-rule hits with hit rates
- Quick decisions: close, escalate, generate SAR
- Natural-language query bar across the case
Decisioning & Regulatory Reporting
Closing an alert or filing a report is a governed action: mandatory reasons, routed approvals and a feedback loop into model improvement.
- Dismissal with mandatory reason codes and notes
- Escalation and SAR generation with jurisdiction selection
- Maker–checker approval workflow with attachments
- Printable STR report with risk rating and transaction ledger
- Audit trail: every action, router and decision recorded
- Decision feedback loop for model retraining
Model Studio
A simulator for tuning monitoring rules and model thresholds — what-if analysis validated against historical outcomes before anything changes in production.
- Threshold sliders: amount, count, cash and cross-border ratios
- Above-the-line / below-the-line (ATL/BTL) analysis
- Simulated risk score with feature contributions
- Historical validation: alert volume, productive and coverage ratios
- False-positive vs escalation hit-ratio breakdown
- Recommendation banner; save drafts, reset to defaults
Separation of duties, designed in
The workspace separates the compliance analyst (maker) who investigates and drafts, from the compliance manager (approver) who reviews and decides — with quality-assurance review and administrator-configured routing on top. AI prepares; authorised people decide.
From Fragmented Information to Controlled Action
- Connect
- Enrich
- Analyse
- Investigate
- Review
- Document
- Improve
Connect
Connect customer, account, transaction, screening, KYC and case information from existing systems.
Enrich
Add customer context, historical activity, relationships, risk indicators and external information.
Analyse
Apply rules, analytics and AI-assisted reasoning to identify risks and investigation priorities.
Investigate
Present evidence, source references, timelines, related parties and recommended next steps.
Review
Require authorised personnel to review material findings, recommendations and proposed decisions.
Document
Record the information considered, actions taken, decision reasons, approvals and model versions.
Improve
Monitor outcomes and refine rules, workflows and models under controlled governance processes.
Core Capabilities
AI-Assisted Name-Screening Analysis
- Analyse potential screening matches
- Compare names, aliases and customer attributes
- Present match and mismatch indicators
- Summarise relevant evidence
- Prioritise alerts for investigator review
- Document reasons and source references
- Route decisions for human approval
Transaction-Monitoring Alert Prioritisation
- Enrich alerts with customer and transaction context
- Identify relevant historical activity
- Group related alerts and transactions
- Rank alerts based on configured criteria
- Recommend investigation steps
- Prepare alert summaries for human review
AI-Assisted KYC Reviews
- Consolidate customer information
- Compare current and previous profiles
- Identify missing or inconsistent information
- Detect trigger events
- Prepare CDD and EDD summaries
- Route reviews through approval workflows
AI-Assisted Investigations
- Consolidate alerts, transactions and customer data
- Generate case timelines
- Identify related parties and accounts
- Summarise investigation findings
- Prepare draft case narratives
- Maintain evidence references and audit trails
Network Analytics
- Map relationships between customers and counterparties
- Identify shared accounts and attributes
- Visualise transaction flows
- Detect related entities and suspicious clusters
- Support entity resolution
Regulatory Report Preparation
- Consolidate relevant case facts
- Prepare transaction summaries
- Generate draft STR narratives
- Organise supporting evidence
- Maintain report versions
- Route reports for review and approval
AML Quality Assurance
- Check required investigation steps were completed
- Identify missing evidence
- Review consistency against procedures
- Support risk-based case sampling
- Produce quality-assurance reports
Regulatory filing decisions and final reports remain under the control of authorised compliance personnel.
Designed to Work Alongside Your Existing Systems
Agentic AML connects to the systems your institution already runs — adopting individual modules without automatically requiring replacement of the AML technology stack.
Core banking platforms
Payment systems
CRM systems
KYC platforms
Screening systems
Transaction-monitoring systems
Case-management platforms
Data warehouses and data lakes
Document-management systems
Regulatory reporting platforms
Internal and external data sources
APIs and message queues
Integration services included
Our delivery team covers requirements analysis, API development, data mapping, testing and parallel-run support as part of implementation.
Integration services →A Connected Approach to Financial-Crime Compliance
Financial-crime risks do not exist in isolation. Customer information, screening results, transactions, alerts, investigations and regulatory reports must be understood together. TA Tech connects these processes through modular technology and implementation services that complement existing compliance environments. Our AML capabilities cover:
Designed to align with FATF AML/CFT recommendations and international financial-crime-compliance standards.
Customer and Name Screening
Analyse potential matches against sanctions, PEP and other relevant watchlists using configurable matching logic and AI-assisted review.
- Customer and counterparty screening
- Sanctions and PEP screening
- Batch and event-driven rescreening
- Configurable matching thresholds
- Alias and transliteration handling
- Match-reason explanations
- Evidence and source presentation
- Human review and disposition controls
Adverse Media Analysis
Help compliance teams identify, categorise and assess relevant negative news more efficiently.
- Multilingual media analysis
- Entity and subject identification
- Risk-topic classification
- Duplicate-article consolidation
- Relevance and materiality assessment
- Article and source summarisation
- Review records and audit trails
Transaction Screening and Monitoring
Support the detection and investigation of unusual, suspicious or prohibited activity across customer transactions.
- Real-time and post-transaction monitoring
- Rules and scenario configuration
- Threshold and behavioural monitoring
- Transaction-screening alert analysis
- Customer and counterparty context
- Historical activity review
- Alert grouping and consolidation
- Integration with existing monitoring systems
Intelligent Alert Prioritisation
Apply configurable risk indicators to help compliance teams focus on higher-priority cases.
- Risk-based alert ranking
- Alert enrichment from multiple systems
- False-positive indicators
- Similar-case identification
- Reason codes and scoring factors
- Investigation routing
- Service-level monitoring
- Mandatory human approval before closure
KYC, CDD and EDD
Create more consistent customer reviews by connecting customer information, risk indicators, screening results and supporting documentation.
- Customer onboarding support
- Customer profile analysis
- CDD and EDD workflows
- Document and information extraction
- Source-of-funds and source-of-wealth review support
- Beneficial-ownership analysis
- Missing-information identification
- Review checklists and approval workflows
Periodic KYC Reviews
Reduce manual preparation work associated with scheduled and event-driven customer reviews.
- Automated review preparation
- Customer data comparison
- Change identification
- Document-expiry monitoring
- Trigger-event detection
- Updated screening and risk results
- Review summarisation
- Escalation and approval workflows
Dynamic Customer Risk Assessment
Reassess customer risk as information and behaviour change over time.
- Configurable customer risk models
- Risk segmentation
- Transaction-driven risk indicators
- Customer-profile and KYC factors
- Geographic, product and channel risk
- Risk-score explanations
- Model-version records
- Approval and override controls
Investigation and Case Intelligence
Give investigators a consolidated view of relevant information, evidence and actions.
- Unified case timelines
- Alert and customer-data consolidation
- AI-assisted case summarisation
- Investigation-plan recommendations
- Evidence and source references
- Request-for-information workflows
- Investigator notes and task management
- Complete action and decision histories
Network Analytics and Entity Resolution
Reveal relationships that may not be visible when customers and transactions are reviewed individually.
- Customer and counterparty relationship mapping
- Transaction-network visualisation
- Shared identifiers and attributes
- Related-account detection
- Entity matching and resolution
- Flow-of-funds analysis
- Community and cluster identification
- Suspicious-pattern investigation
Regulatory Reporting Support
Assist authorised personnel with preparing consistent and evidence-based suspicious transaction reports.
- Draft narrative generation
- Case-fact consolidation
- Transaction-summary preparation
- Supporting-document organisation
- Review and approval workflows
- Report-version control
- Filing-status monitoring
- Complete preparation audit trails
AML Governance and Quality Assurance
Help institutions maintain consistent investigation standards and demonstrate effective control.
- Investigation-quality checks
- Required-step validation
- Procedure and checklist enforcement
- Sample-based and risk-based QA
- Decision-consistency analysis
- Policy-to-workflow mapping
- Model and ruleset version control
- Management information and audit reporting
Product Principles
Investigate faster. Document consistently. Keep people in control.
Agentic AML applies AI to repetitive and information-intensive compliance activities while maintaining governance and human accountability.
Human-supervised decision-making
Explainable recommendations
Evidence and source references
Complete audit trails
Role-based access controls
Model and configuration governance
Integration with existing systems
Flexible deployment options
All regulatory reports stay human-approved
AI prepares draft narratives and consolidates evidence, but review, amendment and approval remain with authorised compliance personnel — by design.
Book a Demonstration →The Agentic AML Difference
Designed to complement your existing systems — not necessarily replace them.
| Traditional AML operations | With Agentic AML | |
|---|---|---|
| Information | Fragmented across screening, monitoring, KYC and case systems | Connected view across customer, transaction, screening and case data |
| Alert handling | Manual triage of high alert volumes | Risk-based prioritisation with reason codes and similar-case context |
| Investigations | Manual evidence gathering and write-up | AI-assisted case summaries, timelines and evidence references |
| Documentation | Hand-written narratives under time pressure | Draft narratives prepared for human review and approval |
| Accountability | Decisions and reasons recorded inconsistently | Decision reasons, approvals and model versions recorded |
| Governance evidence | Assembled manually for audits | Audit trails and quality-assurance checks designed in |
Frequently Asked Questions
Does Agentic AML replace our existing systems?
No. It is designed to operate alongside existing screening, transaction-monitoring, KYC, case-management and core banking systems. Institutions can adopt individual modules without replacing their entire AML technology stack.
Who makes the decisions?
Authorised compliance personnel. AI analyses information and prepares recommendations, but material decisions — alert closure, customer-risk approval and suspicious transaction reporting — remain subject to human review and approval.
How can it be deployed?
On-premises, in private clouds, in locally hosted dedicated environments or through hybrid architectures — subject to each institution's cybersecurity, data-residency and privacy requirements.
Is bilingual support available?
Yes. TA Tech provides Chinese and English implementation, documentation, training and customer support for organisations across Macau, Hong Kong and the Greater Bay Area.
How do we evaluate it before committing?
Start with a controlled proof of concept using an agreed scope, controlled dataset and measurable evaluation criteria — or begin with an AML Health Check to establish your baseline.
See Agentic AML in action
A controlled proof of concept lets your team evaluate quality, explainability and efficiency against agreed criteria.