Judge AI success by real results after launch, not the demo
AI used in real work needs measurable signs of success, such as time saved, added, costs reduced, accurate results, and user satisfaction. An impressive demonstration does not prove that the system creates value in daily use.
The main test is whether it produces a measurable change after . No conclusion, case study, or numerical evidence identifies which measure should come first.
Key points
- Possible success measures include time saved, , lower costs, , and user satisfaction.
- Real value after matters more than an impressive demonstration.
- No single measure is identified as the most ant.