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AML Investigation Platform
AI does the heavy lifting. You stay in control.
Every AML alert starts cold. Your investigator rebuilds the case by hand.
Transaction history, KYC, screening hits, prior decisions — held by you, absent from the case.
The AI-powered AML investigation platform assembles it first, against your policy and current regulatory guidance.
Every conclusion cites its source. Your MLRO still decides.
Trust / Company Information
ISO 27001:2022 certified · Crown Commercial Service supplier · European Payments Council approved PVRM · Pay.UK approved provider · 50+ financial institutions served since 2017
INVESTIGATION SUMMARY
This investigation concerns Mr Daniel Whitfield, an individual customer, flagged under a HIGH_RISK_COUNTRY scenario at CRITICAL risk (alert HRC_00066). 3 of 232 reviewed transactions in the 90-day lookback window were flagged for review, totalling £43,091.87. The alert's own scoring places this activity at CRITICAL risk. Three key concerns identified include 3 supporting evidence points (see below). Current assessment: the evidence gathered warrants escalation for senior / MLRO review.
WHY THIS CASE WAS RAISED
This case was raised by alert HRC_00066 under the HIGH_RISK_COUNTRY scenario (“Wire Transfer to FATF High-Risk Jurisdiction”). The alert identified 3 transactions requiring review out of 232 observed within a 90-day lookback window, with a total alerted value of £43,091.87. The alert's own scoring places this activity at CRITICAL risk.
KEY FINDINGS
The customer's profile carries an adverse media marker, warranting review of the underlying source before reaching a final assessment.
The largest single flagged transaction is £21,450.00 — its size relative to the customer's profile is a key input to the overall assessment.
All three flagged transfers settled with counterparties in a jurisdiction subject to FATF increased monitoring, outside the customer's declared corridor.
CUSTOMER’S EXPECTED ACTIVITY
Deviation observed. The alerted value of £43,091.87 exceeds the customer's expected monthly turnover by approximately 3.6×, and the receiving jurisdiction falls outside the declared corridors above.
The AML Alert Is Only the Beginning
Detection tells you something needs investigating. Your team still has to work out why, gather the evidence, apply the rules and decide what happens next.
See how the platform closes the gap →Rising Alert Volumes
More AML alerts mean more investigations, but investigator capacity rarely grows at the same pace.
Manual Context Assembly
Transaction history, KYC/CDD, screening results and previous cases are scattered across systems.
Policy Sits Outside the Case
Relevant AML policies and procedures often sit in separate documents, leaving investigators to find and interpret them manually.
Institutional Memory Gets Lost
Previous investigations and decisions can contain valuable context, but that knowledge is difficult to bring into the next case.
Regulatory Change Creates Rework
New regulatory guidance, enforcement findings and supervisory communications can mean manually reviewing and updating investigation approaches.
Audit Comes Too Late
Evidence and rationale are often reconstructed after the investigation, rather than captured as part of the process.
AI-Assisted AML Investigation
Give every AML alert the context it needs.
TechnoXander transforms AML case management into an AI-assisted, policy-driven investigation system.
Bring the evidence, regulatory guidance and organisational knowledge behind every investigation into one place.
Specialised AI agents analyse AML alerts, gather relevant evidence, create the investigation summary and recommend the next step. Your team remains in control.
AI recommends. Humans decide. Every action is auditable.
How It Works
AI agents operate within a structured, policy-driven AML investigation workflow.
AML Alert
AML alerts enter the investigation workflow from your existing monitoring systems.
Evidence Gathering
Transactions, KYC/CCD, screening results and prior cases are retrieved from approved sources.
AML Investigation
AI analyses evidence against internal policy, guidance and financial crime intelligence.
Investigation Summary
Evidence and analysis are brought together into a structured case summary with source traceability.
AI Recommendation
AI recommends the appropriate next step. An authorised financial crime professional decides.
Case Resolution & SAR
Close or escalate the investigation, with AI assistance for SAR preparation.
AI-Powered AML Investigation Software
Smarter investigations. Evidence-based decisions. Complete auditability.
AI-Powered AML Investigation
Analyse AML alerts with specialised AI investigation agents.
Policy-Driven Investigation
Apply internal AML policies across every investigation.
Transaction & Customer Intelligence
Connect transactions, KYC/CCD and screening data in one view.
Regulatory Intelligence
FCA, JMLSG, Dear CEO letters and recent enforcement intelligence.
Institutional Case Memory
Use previous investigations, decisions and organisational knowledge.
Explainable AI
Trace insights and recommendations back to their sources.
Human-in-the-Loop Controls
Keep authorised users in control of every decision.
SAR & Escalation Support
Support escalation, MLRO review and SAR preparation.
Audit & Compliance Ready
Capture evidence, sources and decisions in a complete audit trail.
Smarter Investigations.
Better Outcomes.
Empower your teams with AI-assisted workflows to handle more cases, reduce effort and maintain consistency as investigation volumes grow.
Handle More Cases Without Scaling Teams
Increase investigation capacity without increasing headcount.
Reduce Investigation Time
Automate repetitive tasks and accelerate case resolution.
Improve Consistency
Standardise investigation processes across teams.
Lower Operational Costs
Reduce manual effort and improve operational efficiency.
Strengthen Compliance & Auditability
Ensure transparency, oversight and traceability across every case.
Explore FAQs
Frequenty asked Questions - FAQ's
Investigate AML alerts faster with agentic AI workflows, evidence-based analysis, organisational memory, explainable recommendations, and seamless integration with your existing systems.
AML investigation software helps financial crime teams investigate alerts using transaction data, KYC/CDD, screening, regulatory guidance and previous cases in one structured workflow.
No. TechnoXander works alongside existing AML alerting and transaction monitoring systems, focusing on the investigation and resolution of alerts
Yes. TechnoXander combines case management with agentic AML investigation workflows that actively gather evidence, analyse cases and prepare recommendations.
AI automates evidence gathering, analysis, investigation summaries and recommendations, helping AML investigators reduce manual work and handle more cases.
Agentic investigation workflows automate repetitive investigation tasks, helping financial crime teams increase capacity without scaling manual effort at the same rate.
Summaries are generated from approved data and knowledge sources, with evidence and source references retained for traceability.
Recommendations consider case evidence, internal AML policies, regulatory guidance and relevant previous investigations, with the final decision remaining with an authorised user.
TechnoXander can use core banking transactions, KYC/CDD, customer data, screening results, previous cases, internal policies and regulatory intelligence.
Yes. TechnoXander can integrate with existing core banking, AML, transaction monitoring, KYC/CDD and screening systems.
Yes. Organisational memory brings relevant previous investigations, decisions and knowledge into new AML cases.
TechnoXander can incorporate FCA guidance, JMLSG guidance, Dear CEO letters and recent enforcement intelligence alongside internal AML policies.
TechnoXander is UK-led and supports financial institutions across jurisdictions including the UK, EU, UAE and Saudi Arabia.
Requirements depend on the AI use case and deployment. TechnoXander is designed around controlled AI, human oversight, explainability and auditability.
TechnoXander supports jurisdiction-specific hosting and data residency requirements, depending on the organisation's deployment and regulatory needs.
TechnoXander supports explainability, traceability, human oversight and auditability within controlled AI-assisted AML investigation workflows.
Use the TechnoXander AML Investigation Calculator to estimate potential time savings, investigation capacity and cost reduction based on your alert volumes and operating model.
Ready to Transform Your AML Investigations?
See how smarter investigation workflows can reduce manual effort, improve case handling, and help your team focus on higher-value compliance work.
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