AI finance is different.
Your CFO should be too.

Both. Many of our clients are traditional SaaS businesses that have started embedding AI into their product and are finding that their compute costs are now material. If AI is becoming a meaningful cost line in your P&L — whether you’re an AI-first company or a SaaS business integrating LLMs — this service is relevant to you.

Enough to build the right financial models — which is what matters. We understand the difference between training and inference costs, how to model token-based pricing, the economics of reserved vs on-demand GPU capacity, and how model size affects your cost structure. You don’t need us to understand transformer architectures; you need us to model their financial implications correctly.

Pre-revenue AI companies are common clients. At this stage, the financial model is built around your hypothesis: target customer, assumed usage patterns, pricing model, COGS assumptions, and the funding required to reach the next milestone. The model tells the story investors need to see even before revenue exists.

Monthly board pack (P&L, cash flow, KPI dashboard), actuals vs plan variance analysis, cash and runway management, compute cost review, and strategic CFO input as needed. We attend board calls where required. The service scales with your needs — it’s not a fixed template.

Project work (financial model, fundraising package) is priced on a fixed-fee basis, agreed before we start — typically from £3,500+VAT for a standalone model. Monthly ongoing CFO retainers start from £2,500/month+VAT depending on scope. We’ll agree the fee upfront with no surprises.