Agentic AI, Against Money Laundering and Terrorist Financing
Location: Beirut – Lebanon
Date: August 13 – 14, 2026
Time: 9:00 AM till 2:30PM
Background:
As of mid-2026, five Arab countries sit on the FATF Grey List, and MENAFATF’s rolling mutual evaluations mean every institution in the region is either responding to that pressure directly or preparing for the assessment that decides whether it avoids it. The conference this program follows sits inside that same regional effort; several other Arab countries show the other side of the same story, each having closed a comparable gap and exited the list already. That regional reality, not any single country’s file, is the reason this program exists. This is not a governance briefing that happens to mention AI. It opens with what agentic AI already does, today, in the fight against money laundering and terrorist financing: gathering a case file, tracing an ownership chain, screening names, drafting the report a human used to write by hand, so that compliance teams see the tool before they are asked to govern it.
Real products are already doing this work. Hawk AI, a Munich-based AML technology provider, has launched an AML Investigative Agent that automates data gathering, case summarization, typology identification, and SAR narrative drafting; Symphony AI reports institutions piloting agentic investigation workflows seeing case investigation time fall by up to 60%; and Unit21 reports SAR preparation time falling from roughly a week to under 30 minutes in some deployments. These are vendor-reported figures worth testing against your own institution, not taken on faith. None of this replaces a human decision, regulators still expect a person to review and sign off, but it changes what a compliance team can realistically get through in a day, and that matters while the region’s Grey List clock is running. This program is built for the compliance officers, MLROs, sanctions and financial crime leads, internal audit heads, and FIU and supervisory staff who will decide, this year, whether and how their institution adopts it. No technical background is assumed or required; everything is taught and practiced in the language of banking and compliance, not artificial intelligence.
GOVERNING THE AUTONOMOUS BANK
Agentic AI, Against Money Laundering and Terrorist Financing
• See, and build hands-on on a real no-code agent platform, what an agentic AI system does across detection, screening, investigation, and reporting that a rules engine or a single analyst working alone cannot.
• Understand exactly what Lebanon’s FATF action plan requires, where the region’s own exits (UAE, Jordan, Morocco) show what closing the gap looks like, and where agentic AI can plausibly accelerate that path, and where it cannot.
• Apply the Five Pillars of Agentic Governance, Controlled Agency, Human Oversight Models, Transparency and Traceability, Agent Identity and Registry, and Continuous Monitoring, to turn an agentic AML/CFT system into evidence a supervisor or mutual evaluation team accepts, not a black box they flag.
• Draft a working Agent Authority Matrix, an Agent Registry entry, and an AI Governance Board charter for a real or candidate AML/CFT use case, then stress-test that charter in a live boardroom crisis simulation.
• Complete a full ARM (Agentic Readiness Model) assessment across Strategy, Governance, Technology, Data, Talent, and Culture, and leave with a prioritized action roadmap.
Duration and Format
Two days, 9:00 AM to 2:30 PM each day, five hours of instructional time per day with two 15-minute breaks, no separate lunch block. Day 1 is paper-based and screen-projected, no laptop required; each participant needs a laptop and a free or provisioned account on the chosen no-code agent platform for the Day 2 hands-on build session.
GOVERNING THE AUTONOMOUS BANK
GOVERNING THE AUTONOMOUS BANK
Agentic AI, Against Money Laundering and Terrorist Financing
Location: Beirut – Lebanon
Date: August 13 – 14, 2026
Time: 9:00 AM till 2:30PM
Background:
As of mid-2026, five Arab countries sit on the FATF Grey List, and MENAFATF’s rolling mutual evaluations mean every institution in the region is either responding to that pressure directly or preparing for the assessment that decides whether it avoids it. The conference this program follows sits inside that same regional effort; several other Arab countries
show the other side of the same story, each having closed a comparable gap and exited the list already. That regional reality, not any single country’s file, is the reason this program exists. This is not a governance briefing that happens to mention AI. It opens with what agentic AI already does, today, in the fight against money laundering and terrorist financing: gathering a case file, tracing an ownership chain, screening names, drafting the report a human used to write by hand, so that compliance teams see the tool before they are asked to govern it.
Real products are already doing this work. Hawk AI, a Munich-based AML technology provider, has launched an AML Investigative Agent that automates data gathering, case summarization, typology identification, and SAR narrative drafting; Symphony AI reports institutions piloting agentic investigation workflows seeing case investigation time fall by up to 60%; and Unit21 reports SAR preparation time falling from roughly a week to under 30 minutes in some deployments. These are vendor-reported figures worth testing against your own institution, not taken on faith. None of this replaces a human decision, regulators still expect a person to review and sign off, but it changes what a compliance team can realistically get
through in a day, and that matters while the region’s Grey List clock is running. This program is built for the compliance officers, MLROs, sanctions and financial crime leads, internal audit heads, and FIU and supervisory staff who will decide, this year, whether and how their institution adopts it. No technical background is assumed or required; everything is taught and practiced in the language of banking and compliance, not artificial intelligence.
GOVERNING THE AUTONOMOUS BANK
Agentic AI, Against Money Laundering and Terrorist Financing
Beirut – Lebanon – 13 – 14 August 2026
Learning Objectives
• See, and build hands-on on a real no-code agent platform, what an agentic AI system does across detection, screening, investigation, and reporting that a rules engine or a single analyst working alone cannot.
• Understand exactly what Lebanon’s FATF action plan requires, where the region’s own exits (UAE, Jordan, Morocco) show what closing the gap looks like, and where agentic AI can plausibly accelerate that path, and
where it cannot.
• Apply the Five Pillars of Agentic Governance, Controlled Agency, Human Oversight Models, Transparency and Traceability, Agent Identity and Registry, and Continuous Monitoring, to turn an agentic AML/CFT system
into evidence a supervisor or mutual evaluation team accepts, not a black box they flag.
• Draft a working Agent Authority Matrix, an Agent Registry entry, and an AI Governance Board charter for a real or candidate AML/CFT use case, then stress-test that charter in a live boardroom crisis simulation.
• Complete a full ARM (Agentic Readiness Model) assessment across Strategy, Governance, Technology, Data, Talent, and Culture, and leave with a prioritized action roadmap.
Duration and Format
Two days, 9:00 AM to 2:30 PM each day, five hours of instructional time per day with two 15-minute breaks, no separate lunch block. Day 1 is paper-based and screen-projected, no laptop required; each participant needs a laptop and a free or provisioned account on the chosen no-code agent platform for the Day 2 hands-on build session.