Managing Third-Party Risk When You Have 10,000 Suppliers - with Dean Alms of Aravo
Fri Feb 06 2026
Today's guest is Dean Alms, Chief Product Officer at Aravo. Aravo is an enterprise software company focused on third-party risk management and compliance platforms that help organizations manage vendor, supplier, and partner ecosystems across regulatory, operational, and reputational risk domains. Dean joins Emerj Editorial Director Matthew DeMello to examine how third-party risk has evolved into a data and AI-driven, board-level visibility and resilience challenge, and how automation is reshaping the way enterprises identify, remediate, and monitor risk at scale. Dean also shares practical workflow changes, including using AI to automate document ingestion and survey validation, generate corrective actions, and enable natural language access to risk data. The discussion highlights how these approaches reduce operational cost, improve data integrity, support continuous monitoring models, and help enterprise leaders protect revenue, reputation, and regulatory posture across complex supplier networks. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Aravo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
More
Today's guest is Dean Alms, Chief Product Officer at Aravo. Aravo is an enterprise software company focused on third-party risk management and compliance platforms that help organizations manage vendor, supplier, and partner ecosystems across regulatory, operational, and reputational risk domains. Dean joins Emerj Editorial Director Matthew DeMello to examine how third-party risk has evolved into a data and AI-driven, board-level visibility and resilience challenge, and how automation is reshaping the way enterprises identify, remediate, and monitor risk at scale. Dean also shares practical workflow changes, including using AI to automate document ingestion and survey validation, generate corrective actions, and enable natural language access to risk data. The discussion highlights how these approaches reduce operational cost, improve data integrity, support continuous monitoring models, and help enterprise leaders protect revenue, reputation, and regulatory posture across complex supplier networks. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Aravo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.