Elsan Energy Digitized Field Coordination with AI Agents
Elsan Energy was managing dozens of simultaneous electrical contracting projects across Turkey with 45 field technicians and 12 office staff. With Corius's AI agent platform, erroneous work orders dropped by 40%, contract review time fell from 8 hours to 45 minutes, and full return on investment was achieved in 7 months.
Erroneous work orders, delays in contract review, and paper-based safety documents were reducing field efficiency and inflating project costs.
AI agent platform — real-time field coordination, automated contract analysis, and safety document generation system.
40% reduction in erroneous work orders, 20–30% drop in project costs, 55% improvement in field response time, full ROI in 7 months.
What Operational Challenges Was Elsan Energy Facing?
Elsan Energy manages dozens of simultaneous electrical contracting projects across Turkey. Field teams were directed via paper or WhatsApp-based communication, and work orders were not connected to a central system. Contract reviews were done manually, and safety documents (occupational safety plans, risk assessments, panel project files) were prepared from scratch each time. Penalty clauses were triggered by delays in electrical infrastructure integration, directly threatening project profitability.
- Field teams making unnecessary trips due to incorrect or incomplete work orders.
- Manual review of contract clauses — legal/technical conflicts going unnoticed.
- Safety documents (occupational safety plans, risk forms) prepared from scratch for every project.
- Delays in electrical infrastructure integration schedules and associated penalty clauses.
- Field-office communication gaps: no real-time status information.
- Inventory surplus or shortage caused by mismatches between material orders and field needs.
How Did Corius Solve These Challenges?
Corius developed a three-layer AI agent platform for Elsan Energy: a field coordination agent, a contract analysis engine, and a safety document generation system. All layers were connected to a central operations dashboard, making the office-field loop real-time.
Existing work order workflows, contract types, and safety document templates were reviewed. Workshops were conducted with field teams and project managers. The API layer and mobile access architecture were designed.
- Mapping of active project and work order flows
- Extraction of contract templates and critical clause categories
- Standardization of occupational safety plans and risk assessment documents
- Mobile-compatible operations dashboard architecture
- Planning of KVKK and occupational health & safety compliance layer
The field coordination agent, contract analysis engine, and safety document generator were developed. API integration with the existing ERP system was completed; the mobile app was rolled out to field teams.
- LangChain-based field coordination agent (work order validation, assignment, tracking)
- RAG pipeline and legal/technical clause extraction for contract analysis
- Automated safety document generation (occupational safety plan, risk form, panel project file)
- ERP integration: material stock and schedule synchronization
- React Native-based field mobile application
The system was piloted across 3 active project sites. Agent response quality was improved based on field team feedback, and full rollout was completed.
- Live testing with 3 pilot sites and 18 technicians
- Work order validation accuracy raised to 94%
- False-positive rate in contract risk detection minimized
- Mobile application training for all field teams
Which Processes Were Automated?
Real-Time Field Coordination
The AI agent automatically validates incoming work orders, reports missing or conflicting information to the office, and delivers approved instructions to field teams via the mobile app. Real-time status updates are reflected on the operations dashboard.
Contract Review and Risk Detection
Electrical contracting agreements are parsed by the AI engine; penalty clauses, delivery dates, technical specification compliance, and ambiguous clauses are automatically flagged. Project managers are notified with a summary report.
Safety Document Automation
After project details (site address, voltage level, team list) are entered, the AI system automatically generates the occupational safety plan, risk assessment form, and panel project file according to standard templates.
Infrastructure Integration Schedule Management
The AI agent monitors EDAŞ/TEDAŞ connection processes and waiting times, proactively detects delay risks, and issues early warnings to project managers. It provides rescheduling recommendations when critical path changes occur.
What Results Did the AI Agent Coordination Produce?
Our field coordination has completely changed — we now see problems before they occur. Erroneous work orders have dropped to almost zero, and our team's productivity has noticeably improved.