Finance for AI &technology companies
Finance guidance for founders and management teams navigating the economics of AI and technology businesses. Written by operators, for operating decisions.
6 entries
SEP 13
How to Build a Financial Model for an AI Company
A driver-based approach to modelling AI revenue, usage, inference cost, headcount, cash, and runway without relying on a generic SaaS template.
AI & TECHNOLOGY FINANCE
SEP 13
AI Pricing Strategy: Seats, Usage, Outcomes, or a Hybrid?
A finance-led framework for choosing an AI pricing metric, testing gross margin, and setting contract guardrails before scale amplifies a weak model.
AI & TECHNOLOGY FINANCE
SEP 13
AI Startup Investor Deck: The Finance Slides That Need to Hold Together
How to connect traction, revenue quality, AI unit economics, the forecast, and use of funds in an investor deck that management can defend.
AI & TECHNOLOGY FINANCE
SEP 13
AI Unit Economics: A CFO Framework for Gross Margin and Cost to Serve
How AI companies can measure inference, cloud, human review, implementation, and support costs without hiding the economics inside blended software expenses.
AI & TECHNOLOGY FINANCE
SEP 13
Fractional CFO for AI Companies: When the Role Starts Paying for Itself
A practical guide to when an AI company needs fractional CFO leadership, what the role should own, and how to distinguish it from bookkeeping or a full-time hire.
AI & TECHNOLOGY FINANCE
SEP 13
How to Prepare an AI Company for Fundraising
The financial model, KPI history, investor materials, use-of-funds plan, and diligence preparation an AI company should own before starting a financing process.
AI & TECHNOLOGY FINANCE
Fractional CFO support
If the finance function needs senior ownership—not another spreadsheet—tell us what is changing.