Finance leaders face increasing pressure to deploy AI solutions while proving ROI and maintaining governance, yet 73% measure success by cost savings and only 15% feel prepared to act. This playbook provides a 5-step framework that treats AI projects as iterative pilots rather than traditional ERP-style implementations, focusing on surgical interventions within existing systems. The methodology helps identify bottlenecks like data gymnastics and exception handling, scope solutions in phases starting with invoice validation, and build business cases around measurable metrics like the $166,400 annual savings example. By starting with well-defined pilots that can be implemented in weeks rather than months, finance teams can prove value quickly and expand successful models with confidence.