Make AI spend attributable and bounded.
Token bills behave differently from cloud bills — they scale per request, hide in agent loops, and resist attribution. We bring the controls that keep AI spend visible, owned, and capped, without trading away quality.
Who this is for
- Engineering leaders whose LLM and inference bill is climbing faster than usage or revenue justifies.
- Teams that can't attribute AI spend to a feature, team, or customer — so no one can be accountable for it.
- Organizations rolling out agents and AI features without the budgets or guardrails to stop one from running away.
What we deliver
- Token and usage budgets enforced per feature, team, and tenant — so spend has an owner and a ceiling.
- Intelligent model routing that sends each request to the cheapest model that meets the quality bar, with evals to prove it holds.
- Prompt and semantic caching to stop paying repeatedly for work you have already done.
- Agent and inference budgets with circuit breakers that cap runaway loops before they become a bill.
- Request-level metadata tagging so every dollar of AI spend is attributable and forecastable.
Engagement
Three phases. Cost down, quality held.
Discovery
We instrument and attribute current AI spend — by model, feature, team, and request — to find where the money is actually going and which levers move it most.
Implementation
We build the controls alongside your team: routing, caching, budgets, circuit breakers, and tagging — wired into your stack, with evals so cost cuts don’t quietly cut quality.
Handoff
Dashboards, documentation, and the operating cadence to keep AI spend attributable and under control after we leave. No knowledge stays in the consultancy.
Outcomes
What changes by the end.
Categories of value, not promised percentages. Real numbers belong on a case study, after we've done the work.
- AI spend you can attribute to a feature, team, and customer — and forecast with confidence.
- Cost-aware routing and caching that lowers spend without trading away the quality your users feel.
- Budgets and circuit breakers that make runaway agents a non-event instead of a surprise invoice.
- A team that owns the controls and the dashboards to keep it that way.
This is the AI-native counterpart to our Cloud Cost Optimization and FinOps work. If your spend problem is broader than AI, start there.
Work with us
Ready to get AI spend under control?
The qualifying form asks what you're running, where the spend is going, and what's gotten away from you. It takes about two minutes.