Quick Overview
Vinci Construction implemented AI algorithms to classify, archive, and retrieve construction documents, automating compliance checks and reducing manual search time, enhancing regulatory compliance and project efficiency.
Vinci Construction
Company Size
~40,000 employees
Revenue Range
€50B+ annual revenue
Primary Challenge
Manual, error-prone document management causing delays and compliance risks
Key Metrics
\- 30% reduction in document search time\- 60% efficiency improvement in site inspections\- 50% improvement in planner time\- Reduced construction program duration by 3 weeks\- Saved over 6,000 hours annually on documentation
The Problem
Managing massive volumes of construction documents manually was time-consuming, error-prone, and threatened project timelines and regulatory compliance.
The Solution
Deployed AI-powered document management system with classification, archiving, and retrieval capabilities; integrated with OpenSpace reality capture and Microsoft Azure for real-time data capture and Smart Data Connection (SDC) for automated data flow.
Results
\- 30% faster document search and retrieval\- Enhanced accuracy and compliance\- Significant time savings on documentation and inspections\- Improved communication and decision-making\- Reduced project duration
“We were able to save 60% on site inspections just by keeping data in one point and flowing it to different parts of the business.”
Marco Bonelli, Lead Digital Engineer, Vinci Construction UK
Details
Industry
Construction
Departments
Project & Task Management
Use Cases
Document Management
Workflow Automation
Tags
GenAI
NLP
Knowledge Base Integration
Self-Service Interface
AI Tools Used
No items found.
Sources
https://neuroject.com/ai-in-project-management-case-studies/https://www.openspace.ai/blog/vinci-construction-uk-uses-openspace-to-create-efficiency/https://www.bimplus.co.uk/digital-construction-awards-winner-vinci-wins-best-use-of-data/
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