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Case Study

Boosting Planning Precision and Project Delivery with Agentic AI in Construction

Chetu built an intelligent assistant that reimagines how construction schedules are built, decisions are made, and projects are delivered.

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  • Industry
    Construction
  • Core Technologies

    The technology leveraged on this project included:

  • Agentic AI
  • GPT-4 Turbo, Claude 3 Opus, Meta LLaMA 3
  • Autodesk Revit, IFC Files
  • Microsoft Project, Primavera
  • Reinforcement Learning
  • Python, AWS S3/Azure Blob
  • IoT Sensors (Optional)

Project Solution

Chetu developed a custom AI-driven platform that connects BIM models with construction schedules, simulates delivery scenarios, & provides real-time, constraint-aware recommendations to project stakeholders. Implementing automation for planning and surfacing practical insights helped our client reduce delays, streamline onboarding, and improve cross-team coordination.

The Client

A rapidly growing company in the construction industry approached Chetu with a bold idea: to develop an intelligent assistant that could revolutionize construction planning for both expert schedulers and new project managers.

They focus on reducing manual planning effort, aligning BIM data with real-world constraints, and developing a scalable solution for better decision-making across large, high-value projects.

With global studies projecting up to 60% productivity increases from AI + BIM solutions, the timing couldn’t be better.

Our Approach

Chetu wanted to create an Agentic AI that helps to evaluate BIM files, simulate delivery timelines under cost and labor constraints, and proactively support planning teams through every project stage.

Our team worked closely with the client to:

All of this was guided by our proprietary ConstructionAI Framework, which allowed us to move quickly, iterate intelligently, and deliver a strong technology customized enterprise-scale construction.

The Solution

Chetu delivered an end-to-end Agentic AI solution, powered by GPT-4 Turbo and enhanced with reinforcement learning, automating, and optional IoT integration.

Infographic Strafford Construction Group-CONT

Key Capabilities:

Activity Extraction from BIM/IFC Files

Automatically classifies model elements, identifies missing entries, and estimates productivity.

Multi-Constraint Scenario Planning

Simulates delivery timelines across varying labor, budget, and material conditions.

Real-Time Site Monitoring (Optional)

Sensor data feeds into the AI engine, allowing live updates, alert triggers, and schedule adjustments.

Smart Notifications & Reports

Project leads receive alerts, status updates, and reports via email or dashboard—no manual follow-up required.

Flexible Schedule Output

Export schedules in multiple formats, including XER, MPP, PDF, XLSX, and ZIP.

The Impact

This wasn’t just process improvement but a leap forward with efficiency of operations and intelligence.

The Framework Behind It

Our proprietary ConstructionAI Framework powered every stage of this solution.

Designed for large construction firms, this 9-step innovation benefits organizations:

Our 9-Step ConstructionAi Adoption Framework

Infographic Strafford Construction Group-CONT

Transform How Your Teams Plan, Coordinate, and Deliver

Looking to streamline construction planning across your portfolio? Let’s build a smarter, faster, and more connected future together.

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Drop us a line or give us a ring. We'd love to hear from you and would be happy to answer any questions.

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