Do this:
1. make something that has some "modern" AI such as deep learning in it, but that doesn't do anything much useful (because that's almost impossible in most cases). E.g. predict something trivial based on a time series, and repoort it. We all know how hard this is, so just take some hello world ML project and change some inputs.
2. Find some easy project that actually makes business sense, and that isn't yet done, and can be done with simple logic or some old school "traditional" ML or constraint solving e.g. a scheduling/optimization problem.
3. Make sure these efforts are "merged" so that the fancy AI tech AND the measurable good outcome is the same project. The "AI" moonshot of the company.
4. You can now say you are doing "AI", you have measurable success.