AI transforming AML — but unsure how to use it safely?
AI for AML teams
We help banks, payment institutions, fintechs and crypto businesses use AI to reduce manual AML work while keeping sensitive data, risk decisions and regulatory accountability under human control.
AML expertise combined with practical AI implementation.
No generic AI consulting. Solutions built around real AML work.
Teams we have supported
AI transforming AML — but unsure how to use it safely?
AI for AML teams
We help banks, payment institutions, fintechs and crypto businesses use AI to reduce manual AML work while keeping sensitive data, risk decisions and regulatory accountability under human control.
AML expertise combined with practical AI implementation.
No generic AI consulting. Solutions built around real AML work.
Teams we have supported
AI transforming AML — but unsure how to use it safely?
AI for AML teams
We help banks, payment institutions, fintechs and crypto businesses use AI to reduce manual AML work while keeping sensitive data, risk decisions and regulatory accountability under human control.
AML expertise combined with practical AI implementation.
No generic AI consulting. Solutions built around real AML work.
Teams we have supported
AI in AML
Three challenges AML teams face when adopting AI
Too much manual AML work
AML teams still spend substantial time collecting information, reviewing documents, researching cases, summarising findings and preparing decisions that could be supported by AI.
Sensitive data cannot go anywhere
AML work involves personal information, transaction data, KYC documentation, internal risk assessments and confidential investigations. AI cannot be introduced without clear rules governing what data may be processed and where.
Accountability cannot be automated
AI can prepare information, analyse data and support investigations. But responsibility for customer risk, escalation and regulatory decisions must remain clearly assigned to people.
AI in AML
Three challenges AML teams face when adopting AI
Too much manual AML work
AML teams still spend substantial time collecting information, reviewing documents, researching cases, summarising findings and preparing decisions that could be supported by AI.
Sensitive data cannot go anywhere
AML work involves personal information, transaction data, KYC documentation, internal risk assessments and confidential investigations. AI cannot be introduced without clear rules governing what data may be processed and where.
Accountability cannot be automated
AI can prepare information, analyse data and support investigations. But responsibility for customer risk, escalation and regulatory decisions must remain clearly assigned to people.
AI in AML
Three challenges AML teams face when adopting AI
Too much manual AML work
AML teams still spend substantial time collecting information, reviewing documents, researching cases, summarising findings and preparing decisions that could be supported by AI.
Sensitive data cannot go anywhere
AML work involves personal information, transaction data, KYC documentation, internal risk assessments and confidential investigations. AI cannot be introduced without clear rules governing what data may be processed and where.
Accountability cannot be automated
AI can prepare information, analyse data and support investigations. But responsibility for customer risk, escalation and regulatory decisions must remain clearly assigned to people.
Every important action is traceable
Risk-sensitive decisions require human approval
Accountability remains human
AI prepares; people decide
AI tools and workflows require periodic review
Quality control remains human
Automation boundaries
Safe AI in AML follows clear rules
Every important action is traceable
Risk-sensitive decisions require human approval
Accountability remains human
AI prepares; people decide
AI tools and workflows require periodic review
Quality control remains human
Automation boundaries
Safe AI in AML follows clear rules
Every important action is traceable
Risk-sensitive decisions require human approval
Accountability remains human
AI prepares; people decide
AI tools and workflows require periodic review
Quality control remains human
Automation boundaries
Safe AI in AML follows clear rules
What we do
Four solutions for AI-enabled AML
AI Implementation for AML Teams
Identify where AI can genuinely reduce manual AML work and implement controlled AI workflows around your existing processes. We help with use cases such as KYC, periodic reviews, investigation support, case preparation, research, reporting and other repetitive AML activities.
Explore service
Explore service
Secure AI Workspace for AML
Give AML teams access to modern AI within a controlled environment designed around the confidentiality and governance requirements of regulated financial institutions. Approved AI capabilities, AML-specific workflows and clear data-handling boundaries replace uncontrolled use of public AI tools.
Explore service
Explore service
AI Governance & Documentation Portal
Maintain your AI systems, use cases, owners, risk assessments, policies, approvals, employee training and supporting evidence in one structured environment. The portal helps operationalise AI governance and supports AI Act compliance and audit readiness.
Explore service
Explore service
AI Training for AML Teams
Practical AI training built around the daily work of AML, KYC, sanctions and financial-crime professionals. Your team learns where AI helps, how to use it effectively, what information can be processed safely, how outputs should be verified and where human judgement must remain.
Explore service
Explore service
What we do
Four solutions for AI-enabled AML
AI Implementation for AML Teams
Identify where AI can genuinely reduce manual AML work and implement controlled AI workflows around your existing processes. We help with use cases such as KYC, periodic reviews, investigation support, case preparation, research, reporting and other repetitive AML activities.
Explore service
Explore service
Secure AI Workspace for AML
Give AML teams access to modern AI within a controlled environment designed around the confidentiality and governance requirements of regulated financial institutions. Approved AI capabilities, AML-specific workflows and clear data-handling boundaries replace uncontrolled use of public AI tools.
Explore service
Explore service
AI Governance & Documentation Portal
Maintain your AI systems, use cases, owners, risk assessments, policies, approvals, employee training and supporting evidence in one structured environment. The portal helps operationalise AI governance and supports AI Act compliance and audit readiness.
Explore service
Explore service
AI Training for AML Teams
Practical AI training built around the daily work of AML, KYC, sanctions and financial-crime professionals. Your team learns where AI helps, how to use it effectively, what information can be processed safely, how outputs should be verified and where human judgement must remain.
Explore service
Explore service
What we do
Four solutions for AI-enabled AML
AI Implementation for AML Teams
Identify where AI can genuinely reduce manual AML work and implement controlled AI workflows around your existing processes. We help with use cases such as KYC, periodic reviews, investigation support, case preparation, research, reporting and other repetitive AML activities.
Explore service
Explore service
Secure AI Workspace for AML
Give AML teams access to modern AI within a controlled environment designed around the confidentiality and governance requirements of regulated financial institutions. Approved AI capabilities, AML-specific workflows and clear data-handling boundaries replace uncontrolled use of public AI tools.
Explore service
Explore service
AI Governance & Documentation Portal
Maintain your AI systems, use cases, owners, risk assessments, policies, approvals, employee training and supporting evidence in one structured environment. The portal helps operationalise AI governance and supports AI Act compliance and audit readiness.
Explore service
Explore service
AI Training for AML Teams
Practical AI training built around the daily work of AML, KYC, sanctions and financial-crime professionals. Your team learns where AI helps, how to use it effectively, what information can be processed safely, how outputs should be verified and where human judgement must remain.
Explore service
Explore service
Why now
AML teams need technology — but implementation still requires control
Manual workload
94%
94% of surveyed banks identify high manual workloads as a key AML/KYC operating challenge.
Manual intervention
60%
60% rely on manual intervention for more than half of their AML/KYC processes.
KYC automation
69%
69% expect to invest in KYC automation technology.
AI adoption
82%
Reported use of advanced AI tools in KYC/AML reached 82% among financial institutions surveyed by Fenergo in 2025.
Reduce manual AML work
Introduce AI within controlled boundaries
Maintain governance and regulatory accountability
Why now
AML teams need technology — but implementation still requires control
Manual workload
94%
94% of surveyed banks identify high manual workloads as a key AML/KYC operating challenge.
Manual intervention
60%
60% rely on manual intervention for more than half of their AML/KYC processes.
KYC automation
69%
69% expect to invest in KYC automation technology.
AI adoption
82%
Reported use of advanced AI tools in KYC/AML reached 82% among financial institutions surveyed by Fenergo in 2025.
Reduce manual AML work
Introduce AI within controlled boundaries
Maintain governance and regulatory accountability
Why now
AML teams need technology — but implementation still requires control
Manual workload
94%
94% of surveyed banks identify high manual workloads as a key AML/KYC operating challenge.
Manual intervention
60%
60% rely on manual intervention for more than half of their AML/KYC processes.
KYC automation
69%
69% expect to invest in KYC automation technology.
AI adoption
82%
Reported use of advanced AI tools in KYC/AML reached 82% among financial institutions surveyed by Fenergo in 2025.
Reduce manual AML work
Introduce AI within controlled boundaries
Maintain governance and regulatory accountability
How it works
Three steps to practical AI in your AML team
Step 1
Describe your AML environment
Tell us how your AML team works today, where manual effort is concentrated, what systems you use and how AI is already being used—or where you would like to introduce it.
Step 2
Identify opportunities and risks
We identify where AI can create meaningful efficiency, what data and control risks need to be addressed and which activities should remain under human judgement.
Step 3
Choose the right solution
Depending on your situation, we recommend the practical next step: implementation, AML-specific training, a secure AI workspace, governance infrastructure—or a combination of them.
How it works
Three steps to practical AI in your AML team
Step 1
Describe your AML environment
Tell us how your AML team works today, where manual effort is concentrated, what systems you use and how AI is already being used—or where you would like to introduce it.
Step 2
Identify opportunities and risks
We identify where AI can create meaningful efficiency, what data and control risks need to be addressed and which activities should remain under human judgement.
Step 3
Choose the right solution
Depending on your situation, we recommend the practical next step: implementation, AML-specific training, a secure AI workspace, governance infrastructure—or a combination of them.
How it works
Three steps to practical AI in your AML team
Step 1
Describe your AML environment
Tell us how your AML team works today, where manual effort is concentrated, what systems you use and how AI is already being used—or where you would like to introduce it.
Step 2
Identify opportunities and risks
We identify where AI can create meaningful efficiency, what data and control risks need to be addressed and which activities should remain under human judgement.
Step 3
Choose the right solution
Depending on your situation, we recommend the practical next step: implementation, AML-specific training, a secure AI workspace, governance infrastructure—or a combination of them.
Oleg Zajac, Founder & CEO
AI implementation built on AML experience
Human oversight by design
AI can prepare research, classifications, summaries and recommendations. Final risk-sensitive decisions remain with responsible AML professionals.
Automation where it creates value
We focus on repetitive, information-heavy work where AI can genuinely save analyst time—not automation for its own sake.
AML context comes first
Technology is designed around the realities of KYC, AML, sanctions and financial-crime compliance rather than forcing AML processes into generic AI solutions.
Governance from the beginning
AI adoption must remain explainable and manageable. We build ownership, documentation, controls, review and auditability into implementation from the start.
Oleg Zajac, Founder & CEO
AI implementation built on AML experience
Human oversight by design
AI can prepare research, classifications, summaries and recommendations. Final risk-sensitive decisions remain with responsible AML professionals.
Automation where it creates value
We focus on repetitive, information-heavy work where AI can genuinely save analyst time—not automation for its own sake.
AML context comes first
Technology is designed around the realities of KYC, AML, sanctions and financial-crime compliance rather than forcing AML processes into generic AI solutions.
Governance from the beginning
AI adoption must remain explainable and manageable. We build ownership, documentation, controls, review and auditability into implementation from the start.
Oleg Zajac, Founder & CEO
AI implementation built on AML experience
Human oversight by design
AI can prepare research, classifications, summaries and recommendations. Final risk-sensitive decisions remain with responsible AML professionals.
Automation where it creates value
We focus on repetitive, information-heavy work where AI can genuinely save analyst time—not automation for its own sake.
AML context comes first
Technology is designed around the realities of KYC, AML, sanctions and financial-crime compliance rather than forcing AML processes into generic AI solutions.
Governance from the beginning
AI adoption must remain explainable and manageable. We build ownership, documentation, controls, review and auditability into implementation from the start.
Contact
Find the right starting point for AI in your AML team
Tell us how your AML team currently works and where you believe AI could help. We will identify the most practical next step—whether that is implementing a specific workflow, training your team, providing a controlled AI environment or establishing AI governance.
Complimentary initial discussion
Response within 24 hours
No generic AI proposals
Contact
Find the right starting point for AI in your AML team
Tell us how your AML team currently works and where you believe AI could help. We will identify the most practical next step—whether that is implementing a specific workflow, training your team, providing a controlled AI environment or establishing AI governance.
Complimentary initial discussion
Response within 24 hours
No generic AI proposals