At a glance
What was built, on what, and why it matters.
- Industry
- Construction · Residential Building
- Domain
- Document Intelligence & Quality Assurance
- Solution
- Document Intelligence · Generative AI · Process Automation
- Technology partner
- Microsoft
- AI accelerator
- Azure OpenAI
Key outcomes
Measured where it counts.
- 0170% reduction in report preparation time
- 0290% automation in defect extraction and response mapping
- 03100+ inspection reports processed weekly without extra staffing
- 04Foundation established for analytics and continuous quality improvement
A manual bottleneck.
Processing private inspection reports was manual and time-intensive — reviewing unstructured reports, identifying defects, mapping them to approved responses, and preparing customer-ready documentation.
It relied heavily on experienced staff, creating bottlenecks at peak periods. Defect information stayed unstructured, limiting visibility into recurring issues and long-term quality improvement.
Extract, classify, generate.
Azure OpenAI + Cognitive Search, with a governed review step.
DBiz built a generative-AI platform that automates defect extraction, classification, and response generation from inspection reports.
Using Azure OpenAI and Azure Cognitive Search, it analyses uploaded reports, extracts defect descriptions, and matches them against an approved response knowledge base using semantic search and vector embeddings. Defects are classified as action or no-action and mapped to responses via predefined rules and historical logic. A secure interface lets staff review and override before generating structured reports — all logged for governance and traceability.
More volume, no extra headcount.
The solution cut the effort to process inspection reports while improving consistency, scalability, and governance. The organisation handles higher volumes without added overhead.
Standardised response generation improved consistency across customer communications, while structured defect data opened new opportunities for reporting, trend analysis, and continuous quality improvement.
Technology stack
| Layer | Technology |
|---|---|
| AI & search | Azure OpenAI · Azure Cognitive Search |
| Identity & access | Azure AD |
| Application hosting | Azure App Services |
| Data storage | Azure SQL |
| AI capabilities | Large Language Models · Semantic Search · Vector Embeddings |