Logiciel Solutions · AI Strategy
Building an AI capability in-house feels like control. It is also a hiring cliff, a long wait for value, and a real chance the project never ships. Put your numbers in and see what building actually costs against buying or partnering, over the horizon you care about.
Eight inputs. Results update live as you type.
Salary, benefits, tools, and overhead.
How long until the team ships anything useful.
A large share of internal AI builds never reach production.
Adjust the inputs — results unlock when you submit.
We’ll email the detailed model and have a senior engineer pressure-test this decision with your real constraints. No sales call required.
No spam. We’ll follow up only if it’s relevant.
How the math works. In-house cost = team salary across the hire + ramp + build window (capped at the horizon), plus maintenance on the notional build cost once delivery is done. The failure haircut inflates the expected cost because some share of spend buys nothing — adjusted cost = base ÷ (1 − failure rate). Buy cost = partner fee × years. Net difference = in-house minus buy; positive means building costs more. Break-even is the month cumulative in-house cost first falls below cumulative buy cost. Figures are estimates to frame a decision, not a quote.
Logiciel Solutions · logiciel.io
