If you are unsure where to start, most companies begin with AR collections or AP matching. These processes typically have high volume, clear ROI, and straightforward implementation. High volume provides faster ROI validation and clearer performance metrics.

Possible but not recommended. Starting with one use case lets you validate the approach, refine your governance framework, and build internal confidence before expanding. Most companies add additional use cases after 90-day pilot completion.

Calculate current labor time per exception type (hours per week), multiply by fully loaded labor cost, add indirect costs (working capital impact, relationship strain). Highest total cost typically indicates highest ROI opportunity.

No. Implementation complexity varies based on process complexity, number of systems involved, data quality, and rule sophistication. AR collections and back orders are typically simpler. Quote generation and quality issue coordination are more complex.

Yes, but each department typically implements separately. Exception processes are department-specific even when they involve cross-department coordination. Implementation approach respects organizational boundaries.

These represent common patterns, not the only possibilities. Custom use cases are common. The key criteria: exceptions follow business rules (even if complex), volume justifies automation (typically 20+ per week), and process is documented.

Metrics vary by use case but typically include: processing time reduction, staff time savings, consistency improvements (error rates, documentation quality), and outcome improvements (DSO, customer satisfaction, vendor relations).