Map
Baseline spend map
Every dollar traced to a feature, a model, and a workflow across your stack — not a dashboard screenshot.
The AI Cost Audit
Model prices fall every quarter, yet most teams' AI bills rise. The gap is architectural: no caching strategy, wrong model for the job, retrieval pipelines that fetch the same context twice.
Map
Every dollar traced to a feature, a model, and a workflow across your stack — not a dashboard screenshot.
Ranked
Findings ranked by annualized impact × effort, each with the ROI math shown openly — measured vs estimated labelled separately.
Roadmap
A prioritized plan and a monitoring handover so the savings survive contact with production.
API logs and provider consoles reviewed via your client-run exports. I map the spend and locate the structural leaks.
A working session on the ranked findings, then a 12–15 page report: spend map, prioritized savings, ROI table, and the 90-day roadmap.
If you want help shipping the top three, that's the Implementation Sprint — scoped separately, never a surprise upsell.
01
Provider invoices or usage exports — enough to see seasonal and per-feature patterns.
02
Per-call traces, or a read-only gateway you stand up. No production credentials handed over.
03
What touches an LLM, and who owns the cost decision for each feature.
04
Cost per resolved task or active user per feature, where you have it. Where you don't, I build it in the audit.
Security
The security posture is the pitch: client-run exports and dashboards you interpret, never production credentials in an outsider's hands.
Working price
The standard audit is $4,500. The first three engagements are offered at $2,500 while the pilot slots are open. (Working launch copy — confirm before public promotion.)
TokenLedger is a solo AI cost auditor. Fixed-fee AI spend audits and honest, vendor-neutral FinOps — for teams spending ~$5k+/month on models and APIs.
© 2026 TokenLedger. The AI Cost Auditor.
Independent, vendor-neutral