GermanyReal estate2025 – ongoingMineko
AI data extraction for rental-contract and utility-bill audits
Mineko halved data-collection costs with AI extraction for contract and utility-bill audits
Problem
Staff manually extracted information from varied contracts and entered it into Mineko's rules-based audit engine. This work constrained the audit service as demand grew.
Approach
Mineko and Data Reply built an Amazon Bedrock system that extracted relevant information and fed it into the existing decision engine. The system reached production. Staff retained oversight and could override automated decisions.
Results
Takeaway
Mineko reduced data-collection costs while retaining staff for complex cases and report personalization. Human oversight remained necessary except for similar, repetitive contracts.
Categories
- Size
- Small business
- Industry
- Real estate
- Business function
- Production and qualityFinance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
AWS reported that AI extraction halved Mineko's data-collection costs. The system supplied contract information to its rules-based audit engine, with staff handling exceptions. The page carries no date; the Internet Archive first saved it on November 11, 2025.
Full details are in the original sources.
