Have a Question ?
Ask about our products, services, or latest research. Let's discuss how we can help you solve your problem.
Send Message Box
Send Message Icon

Project Intelligence Platform for Renewable Energy Projects

Anticipate delays in advance. Determine causes immediately. Test decisions before implementation.

The execution of renewable energy projects is complicated, as the successful execution depends on linking project data, processes, and risks to a single, predictive system.
Our Project Intelligence Platform transforms fragmented execution data into an AI-powered decision-making tool, helping teams forecast risks, mitigate delays, and enhance results.
Concerning the Project Intelligence Platform
The Project Intelligence Platform is a predictive execution intelligence system specifically designed for renewable energy projects. It merges existing project systems into one execution model that:
  • Predicts risks to schedules and purchasing.
  • Performs automatic analysis of the reasons for issues.
  • Models the results of possible decisions prior to taking action.
  • Suggests ways to recover.
  • Presents information using displays, notifications, and conversational questioning.
Unlike ordinary reporting software, the platform recognizes the order of execution and the connections throughout the project’s network.
Main Features And Compatibility
Main Features & Capabilities
predictive-risk-notifications
Predictive Risk Notifications
Creates early notifications of potential schedule setbacks, supplier delays, or shortages of personnel.
Automatic-root-cause-analysis
Automatic Root Cause Analysis
Quickly determines the reasons for delays, with quantifiable effects – like:
problems with vendor deliveries, pending approval of quality, interruptions from the weather, and declining productivity
ai-based-suggestions
AI-Based Suggestions
Gives practical advice – such as re-order tasks, re-assign workforces, re-assign equipment, speed up particular purchases, and enable the simultaneous safe completion of tasks.
what-if-modelling
“What-If” Modelling:
Allows groups to create models of alternative execution approaches and to compare outcomes in terms of:
  • Schedule effect
  • Cost difference
  • Probability of risk
  • Utilization of resources
Unified KPIs + Predictive Intelligence
Unified KPIs + Predictive Intelligence:
Supplies both current and predictive measurements, including:
  • Schedule deviation
  • Percentage of work completed.
  • stock availability
  • Equipment use
  • Anticipated obstructions and risks of delay

The Compatibility

The platform is compatible with systems frequently used in renewable energy execution:
  • Project scheduling software (Primavera P6, MS Project, and so on)
  • ERP purchasing and stock systems (SAP, Oracle, and so on)
  • Daily progress logs and productivity statistics
  • Systems used by contractors to carry out work.
  • Processes for quality inspection and approvals
  • Weather information services
  • Repositories of engineering changes

Who Benefits

The platform provides intelligence specific to the role of:
  • Leaders of programmes and portfolios
  • Project managers and planners
  • Supervisors of site execution
  • Teams dealing with purchasing and storage
  • Teams dealing with quality and compliance
  • Finance and controls
Each role receives information adapted to its decision requirements – from summaries for senior staff to immediate notifications for site teams.
How does it work?
Data Integration
Safe connections take live data from various systems.
Data Standardization
Cleaning and conversion to a single model.
Building Execution Context
AI learns procedures, connections, and business rules.
AI Reasoning
AI with multiple agents provides KPIs, alerts, causes, simulations, and recommendations.
Insight Provision
Via displays, notifications, interactive questioning, and reports.