GIS-led legacy modernization and asset digitization for a U.S. energy utility
Executive summary
Infosys transformed decades of unstructured infrastructure records into enterprise-ready, GIS-native data for a large U.S. energy utility — digitizing 25,000+ engineering drawings at a sustained rate of approximately 4,000 drawings per month, achieving greater than 95% data quality and 99% SLA adherence, and establishing a GIS-based system of record that accelerates planning, maintenance, and decision-making.
About the client
A large-scale U.S. energy utility operating in a highly regulated public-infrastructure environment, managing extensive overhead and underground electricity networks.
Situation
The utility’s infrastructure data was stored in legacy formats, including scanned PDFs, as-built drawings, and non-standard CAD files. The lack of structured, GIS-ready data limited interoperability, delayed modernization, and hindered digitization, advanced analytics, and informed decision-making.
Key challenges
- Fragmented legacy data landscape: Infrastructure records were dispersed across PDFs and disparate CAD systems, with no unified, authoritative source of truth.
- Manual, resource-intensive data extraction: Reliance on human interpretation of drawings led to high processing costs, slower turnaround times, and scalability constraints.
- Lack of standardized data models: The absence of defined GIS schemas hindered interoperability and limited integration with enterprise systems.
- Large historical backlog of engineering records: Decades of accumulated drawings created significant delays in digitization and modernization initiatives.
- Stringent quality and compliance requirements: High accuracy expectations for infrastructure data increased audit risk and required robust validation mechanisms.
The solution
A GIS-led digitization program converting unstructured records into enterprise-ready spatial assets
Infosys implemented a GIS-led legacy modernization and asset-digitization program to transform unstructured infrastructure data into enterprise-ready assets:
- Enabled high-volume digitization (25,000+ drawings) and transformation of engineering data at a processing capacity of approximately 4,000 drawings per month, supporting faster availability of asset information for downstream planning and operations
- Transformed legacy drawings and scanned records into structured, GIS-ready datasets, improving asset visibility and enabling seamless integration with enterprise systems
- Accelerated data (geometry and metadata) extraction and processing through intelligent automation, reducing turnaround times and minimizing manual effort
- Strengthened data quality, accuracy, and compliance through a robust QA/QC framework, achieving greater than 95% data quality and 99% SLA adherence, ensuring reliable inputs for operational and decision-making processes
- Delivered standardized, enterprise-aligned outputs, enabling consistent data consumption across GIS, asset-management, and other business platforms
Benefits
- Transformed legacy records into structured, high-quality digital assets
- Enabled establishment of a GIS-based system of record for infrastructure management
- Supported data standardization and interoperability across agencies and departments
- Enhanced regulatory compliance, transparency, and audit readiness
- Established a foundation for digital-twin enablement and smart-infrastructure initiatives
- Enabled faster availability of engineering data for operational use, accelerating planning, maintenance, and decision-making cycles
