Content Guide
Adoption readiness across the GCC
See where financial institutions currently stand on adopting agentic AI, with adoption concentrated in research, pilot, and limited production use.
How institutions plan to deploy agentic AI
Explore how organizations are sourcing agentic AI capabilities, including in-house, vendor, and hybrid approaches, and what this signal about integration strategy.
Use cases being tested first
Understand which financial crime compliance areas institutions are prioritizing for early agentic AI adoption, and which use cases are being approached more cautiously.
Budget signals and investment readiness
Learn how institutions are allocating budgets for agentic AI initiatives over the next 12 months and what factors influence funding decisions.
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Agentic AI to reduce investigation effort
FOCAL applies agentic AI to support AML investigations by structuring case reasoning, summarizing evidence, and helping teams resolve alerts faster without removing human control.
Built on top of existing AML workflows
Agentic AI works as an orchestration layer on top of screening, transaction monitoring, and case management, enhancing investigations without replacing existing systems.
Explainable by design for regulatory confidence
Every action, recommendation, and summary produced by agentic AI is transparent, traceable, and audit-ready, supporting regulatory review and internal governance.
Designed for real-world AML scale
FOCAL is built to handle high alert volumes, complex investigations, and regional AML requirements, helping teams improve efficiency while maintaining compliance standards.
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