The AI in Business Podcast Trusted AI Architectures for Risk and Compliance Leaders - with Dean Alms & Eric Hensley of Aravo
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Mar 2, 2026 Dean Alms, Aravo Chief Product Officer focused on AI-driven third-party risk and automation, and Eric Hensley, Aravo CTO specializing in AI-native continuous monitoring and legible automation. They discuss taming the continuous monitoring data firehose, when to use interactive discovery versus embedded workflow automation, automating document ingestion and rote language tasks, and adding Responsible AI into vendor assessments.
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Exception Based Monitoring Beats The Data Firehose
- Continuous monitoring often creates a firehose of data that overwhelms teams.
- Eric Hensley says organizations must move to exception-based processes to find signal amid too much information.
View Risk Per Supplier Not Per Department
- Risk is fragmented across procurement, compliance, IT, and CISOs and must be viewed per supplier.
- Dean Alms explains boards need a single view like "Acme supplier company" showing all associated risks across functions.
Only Automate With Legible AI And Governance
- Use interactive AI for discovery and context, then adopt legible embedded AI for automation only when governance exists.
- Eric Hensley warns black box automation fails in regulated risk settings without visibility and fit into governance.