About
Why I founded AMLytix
AI has the potential to remove a significant amount of repetitive work from AML and financial-crime compliance. But AML teams cannot adopt AI in the same way as an ordinary business function. They work with sensitive information, make risk-sensitive decisions and operate in an environment where accountability, evidence and control matter. I founded AMLytix to bridge these two worlds: practical AML expertise and modern AI.
About
Why I founded AMLytix
AI has the potential to remove a significant amount of repetitive work from AML and financial-crime compliance. But AML teams cannot adopt AI in the same way as an ordinary business function. They work with sensitive information, make risk-sensitive decisions and operate in an environment where accountability, evidence and control matter. I founded AMLytix to bridge these two worlds: practical AML expertise and modern AI.
About
Why I founded AMLytix
AI has the potential to remove a significant amount of repetitive work from AML and financial-crime compliance. But AML teams cannot adopt AI in the same way as an ordinary business function. They work with sensitive information, make risk-sensitive decisions and operate in an environment where accountability, evidence and control matter. I founded AMLytix to bridge these two worlds: practical AML expertise and modern AI.
My name is Oleg Zajac, founder of AMLytix. I bring more than 16 years of experience in AML, KYC, sanctions, compliance and financial-crime risk management across banking, legal advisory, fintech, payments and crypto businesses.
My name is Oleg Zajac, founder of AMLytix. I bring more than 16 years of experience in AML, KYC, sanctions, compliance and financial-crime risk management across banking, legal advisory, fintech, payments and crypto businesses.I have worked with major international financial institutions as well as fast-growing technology companies. This experience gives AMLytix a simple starting principle: AI should not replace the AML professional. It should remove repetitive work, organise information and improve the analyst’s ability to make well-informed decisions. AMLytix therefore focuses specifically on helping AML and financial-crime teams implement AI, learn how to use it, access it within controlled environments and govern it properly.
I have worked with major international financial institutions as well as fast-growing technology companies. This experience gives AMLytix a simple starting principle: AI should not replace the AML professional. It should remove repetitive work, organise information and improve the analyst’s ability to make well-informed decisions. AMLytix therefore focuses specifically on helping AML and financial-crime teams implement AI, learn how to use it, access it within controlled environments and govern it properly.Our approach
Three principles behind our work
AI that helps AML professionals without replacing accountability.
Controlled automation
We automate repetitive, information-heavy AML tasks while defining clear boundaries around what AI may do, what requires review and what must remain entirely human.
Human judgement
Customer risk decisions, escalations, suspicious-activity decisions, quality assurance and regulatory judgement remain under appropriate human control.
Continuous reassessment
AI systems, models and workflows change. Controls therefore need to be monitored and reassessed as technology, regulation, processes and business risks evolve.
Our approach
Three principles behind our work
AI that helps AML professionals without replacing accountability.
Controlled automation
We automate repetitive, information-heavy AML tasks while defining clear boundaries around what AI may do, what requires review and what must remain entirely human.
Human judgement
Customer risk decisions, escalations, suspicious-activity decisions, quality assurance and regulatory judgement remain under appropriate human control.
Continuous reassessment
AI systems, models and workflows change. Controls therefore need to be monitored and reassessed as technology, regulation, processes and business risks evolve.
Our approach
Three principles behind our work
AI that helps AML professionals without replacing accountability.
Controlled automation
We automate repetitive, information-heavy AML tasks while defining clear boundaries around what AI may do, what requires review and what must remain entirely human.
Human judgement
Customer risk decisions, escalations, suspicious-activity decisions, quality assurance and regulatory judgement remain under appropriate human control.
Continuous reassessment
AI systems, models and workflows change. Controls therefore need to be monitored and reassessed as technology, regulation, processes and business risks evolve.
FAQ
Frequently asked questions
What exactly does AMLytix do?
Will AI make risk decisions for us?
Can AMLytix work with our existing tools?
What will we receive after the first questionnaire?
Can we implement the recommendations ourselves?
FAQ
Frequently asked questions
What exactly does AMLytix do?
Will AI make risk decisions for us?
Can AMLytix work with our existing tools?
What will we receive after the first questionnaire?
Can we implement the recommendations ourselves?
FAQ
Frequently asked questions
What exactly does AMLytix do?
Will AI make risk decisions for us?
Can AMLytix work with our existing tools?
What will we receive after the first questionnaire?
Can we implement the recommendations ourselves?