Solution · AI cost optimisation

Same quality, materially lower AI bill

Token and GPU spend grows faster than value when nobody owns it. We audit your usage, route and cache intelligently, right-size models and infrastructure, and give finance a view of AI spend by product and team.

Who it's for
Companies spending meaningfully on LLM APIs or GPU infrastructure
Format
Fixed fee, with an optional share of verified savings
Typical levers
Model tiering, caching, prompt and context trimming, batching, reserved capacity
Request a spend audit

What's included

An audit and a redesign of how requests are routed, cached and sized.

  • Spend and usage audit across providers
  • Quality-preserving routing and caching design
  • Infrastructure right-sizing and commitment plan

How it works

Quality is protected by an evaluation set before any cost change goes live.

  • Baseline and eval set agreed first
  • Changes rolled out behind metrics
  • Monthly FinOps reporting handed to your team

What you get

Savings you can verify and a cost model finance understands.

  • Verified savings against baseline
  • Chargeback by product and team
  • Forecast and budget guardrails

How we measure it

Cost per outcome, with quality held within tolerance.

  • Cost per request and per outcome
  • Quality within agreed tolerance
  • Forecast accuracy month on month

Tell us the problem. We'll tell you if AI is the answer.

A 30-minute call, no deck, no obligation.

Book a discovery call