An agent is not an extension of the employee who created it

AI agent billing requires separating six distinct layers that often belong to different parties: request identity, entitlement, policy, funding, contract terms, and invoicing. A single customer record may work initially but becomes inadequate when agents operate across teams, subsidiaries, marketplaces, contracts, and funding sources, making it essential to record both the calling principal and versioned pricing inputs from the outset. Agents should have independent workload identities tied to accountable owners and explicit billing scopes, while financial account structures should reflect commitments, subsidiaries, currencies, tax requirements, and settlement arrangements rather than organizational charts. The discussion distinguishes throughput limits, spending caps, and credit limits, noting that each needs clear precedence rules and that truly real-time enforcement must occur in the application request path, not solely through billing systems or delayed budget alerts. Managing spend caps involves tradeoffs among reserving funds, accepting bounded overspend, queuing work, reducing service quality, or allowing overdrafts. Reliable billing and marketplace reconciliation also require reproducible versioned pricing rules and explicit states such as pending, matched, rejected, corrected, or written off for every financial record.

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