Commercial modeling engagement
Startup Financial Modeling Services for AI Companies
I build driver-based financial models for AI-native startups that need to raise capital, plan hiring, understand unit economics, or replace a spreadsheet that no longer reflects how the product actually makes and spends money.
By Serge Mochtchenkov, CFA · Fractional CFO for AI startups
What the model should answer
How fast can we hire without breaking runway? What happens if conversion is three months late? What if usage doubles but revenue does not? What if we move traffic from a frontier model to a cheaper model? How much does caching change gross margin? How much capital does the next milestone actually require? A useful model makes these questions fast to answer.
Model architecture
The model typically connects assumptions, historical actuals, revenue drivers, cohorts or customer build, usage, pricing, inference and infrastructure cost, headcount, operating expenses, cash flow, financing, and scenario outputs. The exact architecture depends on the business model; the principle is that every important output should trace back to an understandable operating driver.
Want this applied to your numbers rather than described in the abstract?
AI-native cost modeling
Inference belongs in the model as a variable operating driver rather than a generic hosting percentage. Depending on the product, that can include requests, tokens, model/provider mix, cache hit rate, retrieval/embedding costs, vector database usage, bandwidth, third-party APIs, and free-tier consumption. Engineering choices then become visible financial choices.
Investor outputs
For fundraising, the model should produce clean monthly P&L/cash outputs, runway, hiring plan, use of funds, key SaaS/AI metrics, scenario comparison, and the few charts that belong in a board or investor deck. The model is not the presentation; it is the source of truth underneath the presentation.
How this page differs from the existing guide
This page describes the modeling service and engagement. The existing guide "Financial modeling for AI startups: a driver-based guide" remains the educational deep dive. Link to that guide for methodology detail rather than duplicating it here.
- This page: the commercial modeling engagement, deliverables and process.
- The guide: methodology detail — read the driver-based financial modeling guide.
Frequently asked questions
- What format do you build models in?
- The build follows the existing practice's standard workflow and client preference.
- Can you rebuild an existing model?
- Yes. An engagement can begin by auditing and restructuring an existing forecast rather than starting from zero.
- Will the model include scenarios?
- Yes. Base, downside, upside and decision-specific scenarios are core to investor-grade modeling.
Next step
Build the financial system behind the next decision. Book a 30-minute intro call to discuss your stage, model, runway, and next financing milestone.
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