According to ReThynk AI founder Jaideep Parashar, the primary mistake businesses make when adopting AI is starting with too many use cases. This approach leads to scattered experiments, inconsistent results, and a lack of clear ownership. The article argues that 'use cases create activity, but a KPI creates direction.' Instead of trying to automate marketing, sales, and HR simultaneously, leaders should focus on improving a single Key Performance Indicator (KPI).

This forces clarity on success metrics and priorities. The recommended sequence involves selecting one KPI, building a repeatable workflow, running it for 14 days to measure impact, and only then expanding. This disciplined approach transforms AI from a chaotic tech project into a measurable operating discipline, ensuring trust and sustainable adoption before scaling.