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Is lifecycle drift a real risk in your AI stack?

Answer seven operational questions. ModelShift calculates your exposure and pilot fit instantly. This private research build stores nothing and sends nothing.

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Operational fit check0 / 7 answered

01 How many production repositories call AI model APIs? None yet 1–2 repositories 3–10 repositories More than 10

02 How many model providers do you use? None yet One Two Three or more

03 How do you track model retirement dates today? Automated control already Shared document or tickets Someone checks provider pages We do not track them

04 Has a retired or changed model caused urgent work? Never A near miss One incident Several incidents

05 If a model changed tomorrow, what would migration cost? Under 2 hours Half a day 1–3 engineer-days More than 3 engineer-days

06 Where would an automated warning be most useful? Local CLI only Pull requests / CI Scheduled email or webhook Central multi-repository view

07 Which next step would you take without a meeting? None for now Run the free CLI Test a 14-day pilot Consider €49/repo/month if it works

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