Consent as Code: An Executive Playbook to Govern Customer Consent Lifecycles for AI

Customer consent is no longer a legal footnote—it’s the control plane that determines what AI systems can and cannot do. This episode opens with a concise C‑suite vignette where inconsistent consent handling forced a product rollback and regulatory briefing. Mirko delivers a non‑technical, actionable playbook for implementing Consent-as-Code: standardizing consent schemas, versioned provenance, runtime enforcement, revocation workflows, downstream propagation, and contract clauses that require vendor attestation. The monologue explains how to dollarize consent risk (business exposure from misuses), design a prioritized 30–90 day pilot for one product line, and produce board‑ready KPIs (consent coverage, revocation latency, downstream compliance rate). Leaders leave with a practical checklist and negotiation language to embed consent gates into procurement and governance. Subscribe to DataScience.Show to get the Consent-as-Code template and board brief—That’s the difference between models and value.

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