whitepaper: Agentic AI
Agentic AI in AML: Separating hype from reality./
A practical guide to what agentic AI really means for financial crime compliance – and how to deploy it responsibly.
Agentic AI is everywhere. But in regulated environments like anti-money laundering (AML), marketing noise has overtaken technical reality. This whitepaper cuts through the confusion – clarifying what agentic AI is, what it is not, and how compliance teams can adopt it safely, transparently, and with confidence.
Download the whitepaper to learn how institutions can move from hype to structured autonomy, all while keeping humans in control.
What’s inside?
A clearer path to compliance-first AI.
This whitepaper provides a compliance-first perspective on agentic AI, covering:
- What agentic AI really means and how it differs from generative and classical AI.
- Myths vs reality: what agentic systems can actually do today.
- Why most ‘agents’ marketed in AML are still workflow automations, not autonomous systems.
- Practical AML scenarios where structured autonomy can enhance investigations without removing human oversight.
- The compliance-first guardrails needed for auditability, fairness, and safe deployment.
- The future outlook for agentic AI across investigations, case management, screening, and monitoring.
“Financial institutions are under pressure to modernise AML while managing risk and regulatory scrutiny. But with every vendor now claiming to offer ‘agents’, it’s difficult to understand which technologies are truly transformative – and which are just automation in disguise.’”