Mirsad AI Launches GCC-Focused AML Compliance Engine

Mirsad AI has introduced a GCC-built AML platform that uses artificial intelligence to cut compliance costs while strengthening regulatory oversight.

Mirsad AI has launched the GCC’s first AI-native anti-money laundering (AML) compliance engine built specifically for regional financial institutions and regulators. The platform is trained on both traditional banking and blockchain transaction data and is registered with the Qatar Financial Centre, positioning it as one of the world’s first compliance engines designed for dual-track financial systems.

The global AML market is valued at about $4.4 billion in 2025 and is projected to more than double by 2030, as banks continue to face rising regulatory and operational costs. Financial institutions now spend a growing share of their budgets on compliance, with personnel and technology expenses climbing sharply across regulated markets, including the GCC.

Mirsad AI uses a multi-agent artificial intelligence framework to automate AML, KYC and transaction monitoring, reducing compliance costs by as much as 91% while improving detection accuracy and lowering false alerts.

Unlike legacy platforms built for Western markets, Mirsad AI is designed around GCC regulatory requirements, Shari’ah-compliant finance and integrated fiat-blockchain transaction flows. By embedding regulatory oversight into its core architecture, the platform aims to shift compliance from a cost burden into a strategic institutional capability.