We phased traffic: 5% → 25% → 60% → 100% to de-risk. I’d approach this a bit differently than most tutorials suggest. Optimize observability before model tuning.

We cut manual review time by ~30% just by clarifying thresholds. Decide this with numbers, not vibes. If the key metric doesn’t move in 14 days, revert.

Adding a datapoint from a Series A fintech I advised. A thin rules layer filtered 80% of noisy alerts. Design the rollout so rollback takes minutes, not hours.