Pricing AI for Indian Buyers: Why Per-Seat Will Lose to Per-Outcome
The pricing model that built Indian SaaS is the wrong one for AI — and it fails in a precise way. Per-seat caps your upside on light users while bleeding margin on heavy users, because every AI action carries a real token cost the seat price doesn't cover. India sharpens the problem: buyers share seats by reflex, so three logins can drive the inference load of fifteen. The opening? The Indian CXO is outcome-literate to the point of suspicion — they'll pay premium for a resolved ticket, a qualified lead, a document processed, because each maps to a P&L line they already own. This week's Strategy Room essay lays out the floor-plus-meter transition path.
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