Manual AML workflows slowing you down?
AI-assisted AML workflow automation
Use AI agents to reduce manual AML work while keeping risk decisions, escalations, and regulatory judgment under human oversight
Identify safe automation opportunities
Keep human review where it matters
Clients we’ve helped
Manual AML workflows slowing you down?
AI-assisted AML workflow automation
Use AI agents to reduce manual AML work while keeping risk decisions, escalations, and regulatory judgment under human oversight
Identify safe automation opportunities
Keep human review where it matters
Clients we’ve helped
Manual AML workflows slowing you down?
AI-assisted AML workflow automation
Use AI agents to reduce manual AML work while keeping risk decisions, escalations, and regulatory judgment under human oversight
Identify safe automation opportunities
Keep human review where it matters
Clients we’ve helped
AML workflow areas
Where AI agents can support AML work
Onboarding
Automate repetitive onboarding steps such as client intake, document requests, file completeness checks, UBO data collection, and preparation of review materials.
Monitoring & periodic reviews
Support ongoing AML work by tracking periodic reviews, identifying missing updates, organizing alerts, preparing review summaries, and routing cases to the right reviewer.
Reporting
Prepare structured inputs for internal reports, case summaries, evidence logs, escalation records, and management reporting without automating final regulatory decisions.
AML workflow areas
Where AI agents can support AML work
Onboarding
Automate repetitive onboarding steps such as client intake, document requests, file completeness checks, UBO data collection, and preparation of review materials.
Monitoring & periodic reviews
Support ongoing AML work by tracking periodic reviews, identifying missing updates, organizing alerts, preparing review summaries, and routing cases to the right reviewer.
Reporting
Prepare structured inputs for internal reports, case summaries, evidence logs, escalation records, and management reporting without automating final regulatory decisions.
AML workflow areas
Where AI agents can support AML work
Onboarding
Automate repetitive onboarding steps such as client intake, document requests, file completeness checks, UBO data collection, and preparation of review materials.
Monitoring & periodic reviews
Support ongoing AML work by tracking periodic reviews, identifying missing updates, organizing alerts, preparing review summaries, and routing cases to the right reviewer.
Reporting
Prepare structured inputs for internal reports, case summaries, evidence logs, escalation records, and management reporting without automating final regulatory decisions.
Quality checks remain human-led
Decisions stay human-led
Risks requires human approval
Accountability stays with people
Automation setup requires review
AI prepares, humans decide
Automation boundaries
AML automation needs clear human-control rules
Quality checks remain human-led
Decisions stay human-led
Risks requires human approval
Accountability stays with people
Automation setup requires review
AI prepares, humans decide
Automation boundaries
AML automation needs clear human-control rules
Quality checks remain human-led
Decisions stay human-led
Risks requires human approval
Accountability stays with people
Automation setup requires review
AI prepares, humans decide
Automation boundaries
AML automation needs clear human-control rules
What we do
From AML automation roadmap to implementation
Preliminary automation snapshot
A short questionnaire-based review showing where your AML workflow may be suitable for automation and where human review must remain.
Find out more
Find out more
Full AML Automation Roadmap
A detailed roadmap with automation priorities, risk boundaries, human-control points, and suggested implementation steps.
Find out more
Find out more
Automation implementation
Setup support for approved AML automation flows, including intake, task routing, review tracking, evidence collection, and reporting preparation.
Find out more
Find out more
Automation review and assessment
Assessment of existing AML automation to identify regulatory, operational, audit-trail, and human-control gaps.
Find out more
Find out more
What we do
From AML automation roadmap to implementation
Preliminary automation snapshot
A short questionnaire-based review showing where your AML workflow may be suitable for automation and where human review must remain.
Find out more
Find out more
Full AML Automation Roadmap
A detailed roadmap with automation priorities, risk boundaries, human-control points, and suggested implementation steps.
Find out more
Find out more
Automation implementation
Setup support for approved AML automation flows, including intake, task routing, review tracking, evidence collection, and reporting preparation.
Find out more
Find out more
Automation review and assessment
Assessment of existing AML automation to identify regulatory, operational, audit-trail, and human-control gaps.
Find out more
Find out more
What we do
From AML automation roadmap to implementation
Preliminary automation snapshot
A short questionnaire-based review showing where your AML workflow may be suitable for automation and where human review must remain.
Find out more
Find out more
Full AML Automation Roadmap
A detailed roadmap with automation priorities, risk boundaries, human-control points, and suggested implementation steps.
Find out more
Find out more
Automation implementation
Setup support for approved AML automation flows, including intake, task routing, review tracking, evidence collection, and reporting preparation.
Find out more
Find out more
Automation review and assessment
Assessment of existing AML automation to identify regulatory, operational, audit-trail, and human-control gaps.
Find out more
Find out more
Market signals
AML teams need efficiency — but not uncontrolled AI
Comliance costs
$85B
Financial crime compliance costs reached $85 billion in EMEA, and 98% of financial institutions reported cost increases. 81% are prioritizing compliance cost reduction in the next 12 months.
AI adoption
82%
Use of advanced AI tools in KYC/AML rose from 42% in 2024 to 82% in 2025, while periodic KYC reviews remain only partly automated.
Enforcement risk
$4.6B
Fenergo reports $4.6 billion in global financial institution enforcement actions in 2024. Transaction monitoring failures accounted for the largest share, at $3.3 billion, with regulators pointing to poor technology adoption, fragmented oversight, and ineffective risk management.
Manual work
94%
A 2025 financial-crime benchmarking survey found that 94% of banks cite high manual workloads as their primary AML/KYC challenge, while 60% still rely on manual intervention for more than half of AML/KYC processes.
Reduce compliance costs
Improve AML efficiency
Strengthen regulatory control
Market signals
AML teams need efficiency — but not uncontrolled AI
Comliance costs
$85B
Financial crime compliance costs reached $85 billion in EMEA, and 98% of financial institutions reported cost increases. 81% are prioritizing compliance cost reduction in the next 12 months.
AI adoption
82%
Use of advanced AI tools in KYC/AML rose from 42% in 2024 to 82% in 2025, while periodic KYC reviews remain only partly automated.
Enforcement risk
$4.6B
Fenergo reports $4.6 billion in global financial institution enforcement actions in 2024. Transaction monitoring failures accounted for the largest share, at $3.3 billion, with regulators pointing to poor technology adoption, fragmented oversight, and ineffective risk management.
Manual work
94%
A 2025 financial-crime benchmarking survey found that 94% of banks cite high manual workloads as their primary AML/KYC challenge, while 60% still rely on manual intervention for more than half of AML/KYC processes.
Reduce compliance costs
Improve AML efficiency
Strengthen regulatory control
Market signals
AML teams need efficiency — but not uncontrolled AI
Comliance costs
$85B
Financial crime compliance costs reached $85 billion in EMEA, and 98% of financial institutions reported cost increases. 81% are prioritizing compliance cost reduction in the next 12 months.
AI adoption
82%
Use of advanced AI tools in KYC/AML rose from 42% in 2024 to 82% in 2025, while periodic KYC reviews remain only partly automated.
Enforcement risk
$4.6B
Fenergo reports $4.6 billion in global financial institution enforcement actions in 2024. Transaction monitoring failures accounted for the largest share, at $3.3 billion, with regulators pointing to poor technology adoption, fragmented oversight, and ineffective risk management.
Manual work
94%
A 2025 financial-crime benchmarking survey found that 94% of banks cite high manual workloads as their primary AML/KYC challenge, while 60% still rely on manual intervention for more than half of AML/KYC processes.
Reduce compliance costs
Improve AML efficiency
Strengthen regulatory control
How It Works
Check AML automation potential in 3 steps
Step 1
Map your AML workflow
Answer a short questionnaire about onboarding, monitoring, periodic reviews, reporting, and current manual work.
Step 2
Get automation highlights
Receive a preliminary view of what can be automated, what needs caution, and where human control must remain.
Step 3
Move to roadmap or implementation
Use the snapshot to decide whether to build a full roadmap, implement automation, or review existing workflows.
How It Works
Check AML automation potential in 3 steps
Step 1
Map your AML workflow
Answer a short questionnaire about onboarding, monitoring, periodic reviews, reporting, and current manual work.
Step 2
Get automation highlights
Receive a preliminary view of what can be automated, what needs caution, and where human control must remain.
Step 3
Move to roadmap or implementation
Use the snapshot to decide whether to build a full roadmap, implement automation, or review existing workflows.
How It Works
Check AML automation potential in 3 steps
Step 1
Map your AML workflow
Answer a short questionnaire about onboarding, monitoring, periodic reviews, reporting, and current manual work.
Step 2
Get automation highlights
Receive a preliminary view of what can be automated, what needs caution, and where human control must remain.
Step 3
Move to roadmap or implementation
Use the snapshot to decide whether to build a full roadmap, implement automation, or review existing workflows.
Helge (Oleg) Zajac, Founder & CEO
We build AI-powered AML automation where human control still matters
Human-in-the-loop by design
AI agents can support AML workflows, but they should not make final risk decisions. AMlytix focuses on automation that prepares, structures, routes, summarizes, and documents work — while keeping judgment with the compliance team.
Automation before over-automation
Not every AML step should be automated. We help separate repetitive workflow tasks from areas that require human review, escalation, quality verification, or management approval.
Evidence and audit trail first
Automation must remain explainable. We focus on records, reviewer notes, decision logs, escalation history, and supporting evidence so the process can be reviewed later.
Regulatory-risk aware
AMlytix is built for regulated and AML-obliged businesses. The goal is not blind efficiency, but controlled automation that respects AML responsibility, accountability, and regulatory expectations.
Helge (Oleg) Zajac, Founder & CEO
We build AI-powered AML automation where human control still matters
Human-in-the-loop by design
AI agents can support AML workflows, but they should not make final risk decisions. AMlytix focuses on automation that prepares, structures, routes, summarizes, and documents work — while keeping judgment with the compliance team.
Automation before over-automation
Not every AML step should be automated. We help separate repetitive workflow tasks from areas that require human review, escalation, quality verification, or management approval.
Evidence and audit trail first
Automation must remain explainable. We focus on records, reviewer notes, decision logs, escalation history, and supporting evidence so the process can be reviewed later.
Regulatory-risk aware
AMlytix is built for regulated and AML-obliged businesses. The goal is not blind efficiency, but controlled automation that respects AML responsibility, accountability, and regulatory expectations.
Helge (Oleg) Zajac, Founder & CEO
We build AI-powered AML automation where human control still matters
Human-in-the-loop by design
AI agents can support AML workflows, but they should not make final risk decisions. AMlytix focuses on automation that prepares, structures, routes, summarizes, and documents work — while keeping judgment with the compliance team.
Automation before over-automation
Not every AML step should be automated. We help separate repetitive workflow tasks from areas that require human review, escalation, quality verification, or management approval.
Evidence and audit trail first
Automation must remain explainable. We focus on records, reviewer notes, decision logs, escalation history, and supporting evidence so the process can be reviewed later.
Regulatory-risk aware
AMlytix is built for regulated and AML-obliged businesses. The goal is not blind efficiency, but controlled automation that respects AML responsibility, accountability, and regulatory expectations.
Contact us
Check your AML automation potential
Complete a short questionnaire and describe how your AML workflow currently works. We will review where AI agents could reduce manual work, where human review must remain, and whether a full AML Automation Roadmap makes sense.
Preliminary snapshot available
Response within 24 hours
No generic AI outputs
Contact us
Check your AML automation potential
Complete a short questionnaire and describe how your AML workflow currently works. We will review where AI agents could reduce manual work, where human review must remain, and whether a full AML Automation Roadmap makes sense.
Preliminary snapshot available
Response within 24 hours
No generic AI outputs