Your teams are already using AI tools. This course trains them to use AI in a way that is documented, explainable, and traceable — satisfying EU AI Act Article 4, which is already in force, and preparing for the high-risk obligations due by December 2027. Every participant builds a working AI agent during the session, adapted to their actual workflows. They leave with something they can use the same day.
1
Literacy — all four pillars start here. How AI tools work, where they are reliable, and where human judgement is required. Includes prompt engineering: how to communicate clearly with AI systems to get consistent, usable outputs.
2
Transparency — making clear that AI is involved, and producing outputs that users and affected persons can understand, question, and verify. Every conclusion cites the source it drew from and explains why the AI reached it.
3
Human oversight — structuring workflows so a human can monitor, verify, and intervene at each step. Not just approving a final output: understanding and checking what the agent did at every stage before anything is acted on.
4
Traceability — every output generated by the agent cites the source it drew from. The full chain of reasoning is logged and auditable. Session records are produced in a format ready for a regulator, auditor, or internal review.
Finance — AML and compliance
The working example covers an AML transaction monitoring alert: the agent analyses the pattern, retrieves the applicable regulation, and drafts an assessment memo with every claim cited. Designed for compliance officers, AML analysts, relationship managers, and risk teams.
Law — document review and research
The working example covers a document review task: the agent retrieves, reads, and flags relevant clauses, with a solicitor checkpoint before anything is relied upon or sent. Designed for lawyers, paralegals, and legal ops teams.