A&M has worked extensively with large businesses in stressed situations with an objective to perform business and financial turnarounds. Drawing on our core DNA of business restructuring, A&M has designed a sophisticated Early Warning Signal (EWS) solution that leverages refined technology, including analytics powered by artificial intelligence (AI) and machine learning, to help banks identify potentially delinquent accounts that have a likelihood of defaulting within six to nine months. A&M’s EWS solution will help financial institutions make improved and informed decisions about their loan portfolio and assist them in establishing a comprehensive framework around stressed assets.
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AI, OSINT, and HUMINT: A Combined Approach to Global Asset Tracing in Litigation, Arbitration, and Judgment Enforcement
September 28, 2026
Director Dominika Jaskiewicz's latest Raising the Bar article explores how OSINT, HUMINT, and AI combine to uncover hidden assets in cross-border litigation, arbitration, and judgment enforcement.
A New Frontier: The Changing Face of Regulation in English Football
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In our first episode, Managing Director Jon Brown interviews new Senior Advisor Adam Crockett to discuss the changing regulatory landscape of English Football. The second half of their discussion will be published next month.
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Compliance programs are only as strong as your ability to prove they work. Steve Spiegelhalter, Paul Fitzsimmons, Brian Ross, and Rachel Blumenthal outline how effective monitoring and auditing help companies demonstrate program effectiveness under regulatory scrutiny.
