ZenLLM

AI Cost Per Customer for Teams That Need Better Unit Economics

ZenLLM helps teams attribute AI spend to customers, workflows, and product surfaces so pricing, margin, and showback decisions are based on real usage.

Start with the free audit

Start with a free, self-serve cost read before connecting telemetry or creating a workspace.

Start the free audit immediately instead of stopping at a capture form.

Save company context only if you want the benchmark prefilled and the follow-up saved.

See which customers, features, and routes are driving disproportionate AI spend.

Support showback and chargeback with workflow-level cost attribution.

Compare unit economics before and after routing, caching, or prompt changes.

What to evaluate next

Use the audit result to move from a broad cost question into the specific routing, ownership, or chargeback issue most worth validating.

AI cost visibility: Start with workflow-level visibility before building showback models.

AI budget forecasting: Use per-customer cost visibility to improve forward budget assumptions.

AI chargeback and showback: Use customer attribution to support internal AI allocation models.