Most win/loss analysis is a quarterly meeting where someone presents slides about why deals were won or lost. The insights are interesting. Nothing changes.
Automated win/loss is different: extract attributes from every closed opportunity, find differential patterns between wins and losses, and feed them back into ICP, scoring, and signal models. Quarterly retrain.
Your closed deals are the most expensive data you have. Stop presenting them and start training on them.