Renewable Energy · Project Intelligence

Project Intelligence Platform for Renewable Energy Projects

  • PredictAnticipate delays in advance.
  • DiagnoseDetermine causes immediately.
  • ModelTest decisions before implementation.
Project DataIntelligenceAction
Two renewable energy engineers in hard hats reviewing predictive project data on a tablet at a solar farm, with schedule trend charts overlaid

Why Project Intelligence

From Fragmented Execution Data to Predictive Decisions

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:

  1. 01Predicts risks to schedules and purchasing.
  2. 02Performs automatic analysis of the reasons for issues.
  3. 03Models the results of possible decisions prior to taking action.
  4. 04Suggests ways to recover.
  5. 05Presents 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.

The Intelligence Loop

Main Features & Capabilities

Connected capabilities work on one execution model — each building on the last, from early risk signals to root causes, recovery suggestions, tested scenarios, schedule decisions and unified KPIs. Select a stage to explore it.

Two engineers in hard hats reviewing project data on a tablet across a large solar installation, with icons for root cause analysis, AI-based suggestions, risk notifications, what-if modelling and KPIs

Enterprise Project Environment

The Compatibility

The platform is compatible with systems frequently used in renewable energy execution:

Connected enterprise systems exchanging project data through a central cloud, with laptop, desktop, file and database nodes linked in a continuous sync loop
Predictive risk notifications icon
STAGE 01Predict / 06

Predictive Risk Notifications

Creates early notifications of potential schedule setbacks, supplier delays, or shortages of personnel.

Schedule setbacksSupplier delaysPersonnel shortages
Automatic root cause analysis icon
STAGE 02Diagnose / 06

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.

RiskInvestigationRoot causeUnderstanding
AI-based suggestions icon
STAGE 03Suggest / 06

AI-Based Suggestions

Gives practical advice such as reorder tasks, reassign workforces, equipment, speed up particular purchases, and enable the simultaneous safe completion of tasks.

AUnderstand
Causes & risks

Root causes and predicted risks from the execution model.

BSuggest · practical advice
  • Reorder tasks
  • Reassign workforces and equipment
  • Speed up particular purchases
  • Enable the simultaneous safe completion of tasks
CAct
Ways to recover

Recovery options for teams to decide on and act.

What-if modelling icon
STAGE 04Model / 06

“What-If” Modelling

Allows groups to create models of alternative project execution approaches and to compare outcomes in terms of:

STAGE 05Schedule / 06

Smart Scheduling Across the Platform

Smart scheduling is the natural outcome of project intelligence — from the scheduling systems the platform connects to, through risk predictions, recommendations and tested scenarios, to the schedule decisions teams use to steer execution.

  1. 01Schedule data

    Connects to project scheduling software such as Primavera P6 and MS Project.

  2. 02Predictions

    Predicts risks to schedules and creates early notifications of potential schedule setbacks.

  3. 03Recommendations

    Suggests reordering tasks, reassigning workforces and equipment, and enabling the simultaneous safe completion of tasks.

  4. 04Schedule & execution

    Compares the schedule effect of alternative approaches and tracks schedule deviation and percentage of work completed.

Unified KPIs and predictive intelligence icon
STAGE 06Monitor / 06

Unified KPIs + Predictive Intelligence

Supplies both current and predictive measurements, including schedule deviation, percentage of work completed, stock availability, equipment use, and anticipated obstructions and risks of delay.

  • Same execution model
  • 01Risk notifications
  • 02Root causes
  • 03AI-based suggestions
  • 04What-if scenarios
  • 05Smart scheduling
  • OutcomeProject visibility
  • OutcomeDecision support

AI Reasoning

How does it work?

Five steps take live project data from connected systems to the insights each team uses — with AI reasoning at the centre.

  1. 01
    Data Integration

    Safe connections take live data from various systems.

  2. 02
    Data Standardization

    Cleaning and conversion to a single model.

  3. 03
    Building Project Execution Context

    AI learns procedures, connections, and business rules.

  4. 04
    AI Reasoning

    AI with multiple agents provides KPIs, alerts, causes, simulations, and recommendations.

    KPIsAlertsCausesSimulationsRecommendations
  5. 05
    Insight Provision

    Via displays, notifications, interactive questioning, and reports.

    DisplaysNotificationsInteractive questioningReports

Role-Based Intelligence

Who Benefits

Our renewable energy platform provides intelligence specific to the role of:

Renewable project dataPredictive intelligenceVisibilityDecisionsExecution

Turn Fragmented Execution Data into Predictive Project Intelligence

Forecast risks, mitigate delays, and enhance results across your renewable energy projects.