How do I design an AI workflow strategy?

Designing an AI workflow strategy requires a systematic approach. Start by auditing your current processes to identify automation opportunities. Prioritize high-impact, high-volume tasks that follow clear patterns. Assess your technical capabilities and data quality—AI workflows need good data to function effectively. Define clear success metrics and ROI expectations. Start with pilot projects to validate the approach before scaling. Ensure you have proper governance, monitoring, and human oversight in place. Finally, plan for change management and team training. Example: A strategy might start with automating customer onboarding, then expand to support ticket routing, and finally to predictive analytics.