The hard part of enterprise AI was never getting a model to produce a good answer. It's making that answer trustworthy, traceable, and safe to act on inside a real business — at whatever scale the business turns out to need. That's the layer Mantle exists to be..

Self-Scaling Workers & Agent Budgets: Elastic infrastructure and cost control have to ship together — workers that scale up and down on their own only help if agents also operate inside a hard budget (cost, calls, or time), so teams can say yes to production AI without risking runaway spend or getting bottlenecked at volume.

Insurance Intake Case Study: An anonymized carrier automated the judgment-free parts of policy intake — mailbox monitoring, call logging/transcription, document parsing, and proposal drafting — so requests start moving the instant they arrive and underwriters spend their time deciding, not assembling, with a full audit trail for compliance.