AI Cost of Ownership Framework
Understand the full financial picture of AI adoption — from initial investment to ongoing operations, including the costs most organizations overlook.
Why Cost of Ownership Matters
Most AI budgets underestimate what happens after launch. Licensing is the visible line item, but the real spend accumulates in data preparation, integration work, model evaluation, security review, and the people who keep everything running. This framework makes those costs explicit before you commit.
Who It's For
We use it with finance and technology leaders who need a defensible number for a business case. It compares building in-house, buying a vendor platform, and partnering, then models each option over three years so you can see where costs rise as usage scales.
Questions It Answers
Typical questions it answers: what does a pilot cost to run for a year, what changes when you move from ten users to a thousand, how much internal time is required to maintain the workflow, and which costs are one-time versus recurring.
Total Cost of Ownership Calculator
A comprehensive framework covering compute, data, talent, security, compliance, and hidden operational costs over a 3-year horizon.