Enterprise Tech with Fexingo · 2026-08-05 · 8 min
In this episode of Enterprise Tech, Lucas and Luna dive into a growing concern for large enterprises: what happens when a vendor's AI model collapses or degrades dramatically, and who pays. They discuss how Fortune 500 procurement teams are now negotiating specific liability clauses tied to model collapse, moving beyond generic performance warranties. The conversation centers on a real case from a major bank that demanded a clause linking subscription fees to model stability metrics, and how vendors are pushing back with limited liability and caps. Lucas explains the difference between model degradation and outright collapse, and why traditional uptime credits don't apply. They also explore the rise of 'model health' monitoring clauses, where enterprises require vendors to provide transparent telemetry and automatic fee rebates if accuracy drops below a threshold. Luna brings up the tension between black-box AI and auditability, and they discuss how some vendors now offer 'model collapse insurance' as a premium add-on. The episode closes with a question about whether such clauses will become standard in enterprise AI contracts.
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