AI Training for Finance Teams

Finance · Luxembourg
Tomer Libal, Ph.D.
AI Trainer · House of Training · Digital Learning Hub
Tenured professor · 50+ courses · 9.13/10 satisfaction
tomer@libal.info · tomer.libal.info
Your teams are already using AI. This course trains them to use it in a way that is documented, explainable, and traceable — satisfying all four EU AI Act obligations coming into force in August 2026. Participants build real AI agents during the session, using the tools already available in their environment. They leave with agents where every output cites its source and no result is acted on before a human has reviewed and approved it.
Literacy Understanding how AI tools work, where they are reliable, and where human judgement is required.
Transparency Making clear to users and affected persons that AI is involved, and producing outputs they can understand, question, and verify — including what sources were used and why the AI reached its conclusion.
Human oversight Structuring workflows so a human can monitor, verify, and intervene at each step of the process — not just approve a final output, but understand and check what the agent did at every stage.
Traceability Every output generated by the agent cites the source it drew from. The full chain of reasoning is logged and auditable.
A working AI agent built during the session, using the tools already in their environment, deployable immediately
Outputs that are documented and explainable: every result cites its source, every step is logged
A human approval checkpoint wired into the agent: no output is acted on before a person has reviewed it
A certificate of completion per participant documenting training against all four EU AI Act obligations (Art. 4)
A session record showing what was covered, who attended, and when: ready for a CSSF inspection or internal audit
The ability to answer any auditor, regulator, or board member who asks: what did your teams use AI for, and who checked it
Working example — AML transaction monitoring alert
Input
Six cash deposits below the identification threshold, flagged by the monitoring system. Compliance officer task: assess the pattern.
Agent
Retrieves the applicable regulation, analyses the transaction pattern, identifies structuring, and drafts an assessment memo with every claim cited.
Human checkpoint
Compliance officer reviews the memo and all citations before any decision is taken or filing initiated.
Output
Documented assessment with full audit trail. Every step logged. Explainable to any reviewer.
Course formats
10 hours · For all levels

Full course

Step-by-step guidance from first principles. No prior AI experience needed. Participants build their agent from scratch, with the trainer guiding each step. Delivered over two half-days. Suitable for mixed teams including participants who have never used AI tools professionally.

6 hours · For AI users

Accelerated edition

Same content and the same working example, at a faster pace. Designed for participants who already use AI tools regularly and do not need the foundational sections. Delivered in a single day or two shorter sessions. Suitable for teams where some members are already comfortable with AI assistants.