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Incentives That Stick: Designing Executive and Team Incentives to Deliver Measurable AI Outcomes

Incentives That Stick: Designing Executive and Team Incentives to Deliver Measurable AI Outcomes

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 Too many AI programs fail not for lack of models but because incentives push the wrong behavior: teams optimize vanity metrics, vendors chase one‑time uplift, and business owners avoid ownership of outcomes. In this 20‑minute executive monologue Mirko lays out a compact, pragmatic playbook for designing incentives and performance systems that tie funding, career signals, and product KPIs to measurable business outcomes. The episode explains three incentive levers (funding cadence, metrics architecture, and career/accountability design), gives concrete examples of misaligned incentives and how they produced measurable harm, and presents a repeatable rubric to choose metrics that resist gaming (multi-horizon measures, cohort-based LTV, cost‑to‑serve). Listeners receive a prioritized 30–90 day checklist to audit current incentives, sample KPI translations for finance/product/data, and negotiation language to align procurement and legal. Practical, non‑technical, and immediately actionable for leaders who must turn pilots into sustained value.

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