ADP
AI extraction of legacy tax-compliance business rules
ADP reduced manual business-rule extraction effort by over 90% with AI
Problem
ADP's legacy tax-compliance system contained complex embedded rules. Regulatory changes required rapid updates while the company maintained filing accuracy.
Approach
ADP used AWS Transform to extract and document business logic from legacy programs. Engineers used Kiro to rebuild those rules as configurable logic in an Apache Spark framework while modernizing the system module by module.
Results
Takeaway
ADP reduced manual work in understanding existing rules while its broader tax-system modernization continued.
Categories
- Size
- Large enterprise
- Industry
- Professional services
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS reported that AI-assisted extraction of legacy business rules reduced manual effort by over 90%. ADP's broader modernization remained underway. The page carries no date; the Internet Archive first saved it on April 19, 2026.
Full details are in the original sources.