What you get
- Where spend and rework go today. Spend by workflow, attempts per task and where staff hours disappear into fixing and re-asking.
- Which tasks have recipes worth learning. The repeated, high-volume tasks where a recipe would cut attempts.
- What you would save, sized on your data. A range grounded in your usage, to be replaced by measured numbers if you run a pilot.
- A one-page brief for your executives. Answers for the CEO, CTO, CIO and CFO, ready to forward.
What we usually need from you
- A usage export from your gateway or provider dashboard (model, tokens, cost, time, team or app).
- A short list of the AI workflows people complain about or redo most.
- One named contact, and a 20-minute intro call.
We use your details only to follow up. Security questions are welcome from the first call: see what stays inside your cloud.
What happens after the audit
- Audit (about 2 weeks, free). Findings and a sized savings range.
- Pilot (2–4 weeks). Run on your own evaluation set, with a baseline and a NeoAI period, so the result can be audited by your team.
- Roll-out. Monthly re-tuning as models and prices change. Pricing is gainshare: no measured savings, no fee.
Who the audit is for
Heads of AI and VPs of Engineering at AI-native scale-ups and mid-market companies spending $20k–$500k a month on LLMs, and VPs and Directors of AI Platform at enterprises who need an answer they can forward to the CFO and CIO. If you spend well under $20k a month, a gateway may be all you need for now.