When a local AI model makes business sense

Compare privacy, hardware, maintenance, capability, and total cost before going local.

Name the actual constraint

This step keeps the work tied to observable business needs. Document the baseline, the decision owner, the evidence used, and the next review date. Avoid guarantees and distinguish measured outcomes from estimates or platform-reported attribution.

Benchmark on target hardware

This step keeps the work tied to observable business needs. Document the baseline, the decision owner, the evidence used, and the next review date. Avoid guarantees and distinguish measured outcomes from estimates or platform-reported attribution.

Budget for operations

This step keeps the work tied to observable business needs. Document the baseline, the decision owner, the evidence used, and the next review date. Avoid guarantees and distinguish measured outcomes from estimates or platform-reported attribution.