Enterprise Tech with Fexingo · 2026-08-26 · 7 min
In this episode of Enterprise Tech with Fexingo, Lucas and Luna dig into a clause that's becoming as contentious as price caps in enterprise AI deals: the performance SLA. When a Fortune 500 buys a predictive model for supply-chain forecasting, what happens if accuracy drops below the promised threshold? Most contracts are silent, but the smartest buyers are now negotiating specific performance metrics, remediation timelines, and even financial credits tied to model drift. Lucas walks through a recent negotiation where a healthcare giant tied a portion of its annual license fee to a model's precision rate on a quarterly basis, and why vendors are pushing back hard on 'accuracy guarantees' in favor of 'effort-based' obligations. Luna brings a counterpoint from a manufacturing deal where the buyer accepted a softer SLA but won a better audit trail and early-warning dashboard. They also discuss the practicalities: what metrics are actually measurable, how to avoid gaming, and why the SEC's scrutiny of AI washing is pushing more companies to formalize these commitments. A must-listen for anyone involved in enterprise AI procurement or vendor management.
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