
From MVP to MVF: Governing AI Agents with Guardrails, Policy-as-Code, and Board Oversight with Aravind Parthasarathy
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Innovation comes in many areas and compliance professionals need to not only be ready for it but embrace it. Join Tom Fox, the Voice of Compliance as he visits with top innovative minds, thinkers and creators in the award-winning Innovation in Compliance podcast. In this episode, host Tom visits with Aravind Parthasarathy, client partner at New Rocket, a ServiceNow implementation company focused on helping large enterprises adopt agentic AI.
They discuss the shift from viewing AI as a tool to treating it as an operator with humans as mentors handling exceptions, and what this means for compliance, GRC, and risk management. Arvin contrasts minimum viable product (MVP) with minimum viable function (MVF), emphasizing end-to-end autonomous business functions, probabilistic performance, and continuous learning. They cover governance needs including guardrails, policy-as-code, auditability of agent decisions, monitoring for model drift, and automating “trust but verify.” Arvin provides a telecom outage troubleshooting example with compliance notification obligations, addresses board-level AI governance using emerging standards like ISO 42001, suggests KPIs (accuracy, autonomy) and recalibrating operational metrics, and introduces “context graphs” to capture decision data over time.
Key Highlights
· AI From Tool to Operator
· Compliance in the MVF Era
· Trust but Verify at Scale
· Scaling to Multi Agent Systems
· Board Level AI Governance
· Misconceptions and Practical Next Steps
Resources
Aravind Parthasarathy on LinkedIn
New Rocket website
Innovation in Compliance is a multi-award winning podcast was recently honored as the Number 4 podcast in Risk Management by 1,000,000 Podcasts
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