The AI Cost Audit

A two-week audit that names where your AI money goes — and what to change.

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.

What you get

Map

Baseline spend map

Every dollar traced to a feature, a model, and a workflow across your stack — not a dashboard screenshot.

Ranked

Top leaks by impact

Findings ranked by annualized impact × effort, each with the ROI math shown openly — measured vs estimated labelled separately.

Roadmap

90-day roadmap + monitoring

A prioritized plan and a monitoring handover so the savings survive contact with production.

The two-week process

Read-only throughout. You export; I analyze. No production credentials change hands.
  1. Week 1

    Read-only analysis

    API logs and provider consoles reviewed via your client-run exports. I map the spend and locate the structural leaks.

  2. Week 2

    Findings workshop

    A working session on the ranked findings, then a 12–15 page report: spend map, prioritized savings, ROI table, and the 90-day roadmap.

  3. Optional

    Implement the fixes

    If you want help shipping the top three, that's the Implementation Sprint — scoped separately, never a surprise upsell.

What I need from you

01

60–90 days of invoices

Provider invoices or usage exports — enough to see seasonal and per-feature patterns.

02

API logs or a gateway install

Per-call traces, or a read-only gateway you stand up. No production credentials handed over.

03

Feature list with owners

What touches an LLM, and who owns the cost decision for each feature.

04

Current unit economics

Cost per resolved task or active user per feature, where you have it. Where you don't, I build it in the audit.

Security

You export, I analyze.

The security posture is the pitch: client-run exports and dashboards you interpret, never production credentials in an outsider's hands.

Audit FAQ

You export. I analyze. Read-only exports and client-run dashboards you interpret; no production credentials are ever handed over.
We measure against price-held baselines: what the same workload would cost today without the changes. Deflation makes disciplined architecture more valuable, not less.
If you spend under about $5k/month on AI, take the free Snapshot and the checklist instead — an audit can't pay back at that level.

Working price

First three audits at a pilot rate

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.)