{"id":259135,"date":"2026-01-14T19:31:15","date_gmt":"2026-01-15T00:31:15","guid":{"rendered":"https:\/\/ceoworld.biz\/?p=259135"},"modified":"2026-01-14T19:31:15","modified_gmt":"2026-01-15T00:31:15","slug":"baran-ozkan-on-building-trust-infrastructure-playbook-for-modern-aml","status":"publish","type":"post","link":"https:\/\/ceoworld.biz\/2026\/01\/14\/baran-ozkan-on-building-trust-infrastructure-playbook-for-modern-aml\/","title":{"rendered":"Baran Ozkan on Building Trust Infrastructure & Playbook for Modern AML"},"content":{"rendered":"

Baran Ozkan<\/strong> is the CEO and co-founder of\u00a0Flagright, a platform focused on modernizing financial crime prevention and transaction monitoring for banks and\u00a0fintechs. He works at the intersection of product, risk, and AI governance, building systems that help teams move faster without losing auditability and control.<\/p>\n

Baran, what problem were you determined\u00a0to solve when you started\u00a0Flagright?\u00a0<\/strong><\/p>\n

A: <\/strong>I\u00a0wasn\u2019t\u00a0obsessed with \u201cbuilding a compliance tool.\u201d I was obsessed with a more fundamental question: how does trust scale when money moves instantly?<\/p>\n

In too many organizations, compliance becomes a lagging control, batch reviews, brittle rules, endless backlogs, and a constant fear of missing something. That creates two failures at once: it increases risk\u00a0and\u00a0slows growth. Teams drown in false positives, while the genuinely risky patterns hide in the noise.<\/p>\n

Flagright\u00a0started from the belief that compliance should function like real-time decision infrastructure:\u00a0accurate\u00a0enough to stop what matters, fast enough not to block what\u00a0doesn\u2019t, and governed enough to stand up to scrutiny.\u00a0That\u2019s\u00a0the bar we hold ourselves to.<\/p>\n

How do you explain Flagright\u00a0in one sentence to someone outside fintech?\u00a0<\/strong><\/p>\n

A: <\/strong>Flagright\u00a0helps financial institutions detect, investigate, and prevent risk in real time, while keeping the decision process auditable and defensible.<\/p>\n

If you take away the fintech jargon, our job is straightforward: when money moves, we help teams\u00a0answer\u00a0\u201cShould this happen?\u201d\u00a0and\u00a0\u201cWhat should we do next?\u201d\u00a0with\u00a0speed, clarity, and accountability.<\/p>\n

What\u2019s\u00a0broken about legacy AML and transaction monitoring systems?\u00a0<\/strong><\/p>\n

A: <\/strong>Most legacy systems were designed for a world where transactions were\u00a0slower\u00a0and data was thinner. They rely heavily on static rules and thresholding, which creates a predictable outcome: volume\u00a0overwhelms\u00a0judgment.<\/p>\n

When false positives explode, investigators get conditioned to \u201cclear the queue.\u201d\u00a0That\u2019s\u00a0not a people\u00a0problem,\u00a0it\u2019s\u00a0a systems problem. Another issue is that many stacks are stitched together: one tool for monitoring, another for case management, another for reporting. That fragmentation destroys feedback loops, so models and rules\u00a0don\u2019t\u00a0improve quickly.<\/p>\n

What\u2019s\u00a0broken isn\u2019t the\u00a0intent,\u00a0it\u2019s\u00a0the architecture. Modern risk needs to be continuous, data rich, and governance first.<\/p>\n

AI is everywhere in compliance right now. What\u2019s hype, and what\u2019s\u00a0real?\u00a0<\/strong><\/p>\n

A: <\/strong>The hype is the idea that AI will \u201cautomate compliance\u201d end-to-end. In regulated environments, automation without accountability is a liability.<\/p>\n

What\u2019s\u00a0real\u00a0is\u00a0narrower and more powerful: AI can drastically improve signal quality, triage, and investigation workflows, especially when paired with human decision making and strong governance. Done well, AI reduces noise, highlights patterns humans miss, and accelerates investigations with better context.<\/p>\n

But the standard\u00a0can\u2019t\u00a0be \u201cit\u2019s accurate in a demo.\u201d The standard is: Can you explain it? Can you audit it? Can you\u00a0operate\u00a0it safely\u00a0at\u00a0scale?\u00a0That\u2019s\u00a0where serious AI in compliance lives.<\/p>\n

What does \u201creal-time risk\u201d mean in practice, and why does it matter?\u00a0<\/strong><\/p>\n

A: <\/strong>Real-time risk means the system can assess activity as it happens, not days\u00a0later;\u00a0because the harm is often immediate. For\u00a0fintechs\u00a0and banks, risk isn\u2019t just \u201cdid something suspicious occur?\u201d\u00a0It\u2019s\u00a0also:\u00a0Are we enabling fraud? Are we violating sanctions? Are we onboarding the wrong entity?<\/p>\n

Practically, real-time risk requires three capabilities:<\/p>\n