JapanFinance and insurance2025 – ongoingMitsubishi HC Capital
AI extraction of lease-asset registration data
Mitsubishi HC Capital's lease-quote trial exceeded 80% accuracy, according to LayerX
Problem
Employees manually processed supplier quotes with different layouts. Existing OCR and automation struggled to extract their line items.
Approach
Mitsubishi HC Capital introduced LayerX's Ai Workforce to prepare asset-registration data. The system combined language models with business rules and exported structured data. Employees reviewed its answers.
Results
Takeaway
The trial retained human checks. The projected annual savings had not been established as an operating result.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
LayerX reported trial accuracy above 80% and perceived labor savings among 89.7% of users. Its estimate of 12,000 hours saved annually remained a forecast.
Full details are in the original sources.