Boosting Planning Precision and Project Delivery with Agentic AI in Construction
Challenge
A growing construction company approached INNERLUXES with an ambitious idea: an intelligent assistant to revolutionise construction planning for both expert schedulers and new project managers. Traditional planning required heavy manual effort, and it was difficult to align BIM data with real-world constraints or to onboard new managers quickly. The company needed a way to reduce delays, surface practical insights, and improve coordination across teams working from complex schedules and models.
A growing construction company approached INNERLUXES with an ambitious idea: an intelligent assistant to revolutionise construction planning for both expert schedulers and new project managers. Traditional planning required heavy manual effort, and it was difficult to align BIM data with real-world constraints or to onboard new managers quickly. The company needed a way to reduce delays, surface practical insights, and improve coordination across teams working from complex schedules and models.
Solution
INNERLUXES developed a custom, AI-driven platform that connects BIM models with construction schedules, simulates delivery scenarios, and provides real-time, constraint-aware recommendations to project stakeholders. Built with agentic AI orchestrating models such as GPT-4 Turbo, Claude 3 Opus and Meta LLaMA 3, and integrating Autodesk Revit/IFC, Microsoft Project, Primavera and Python, it automates planning and turns raw project data into practical, actionable guidance for schedulers and managers alike.
INNERLUXES developed a custom, AI-driven platform that connects BIM models with construction schedules, simulates delivery scenarios, and provides real-time, constraint-aware recommendations to project stakeholders. Built with agentic AI orchestrating models such as GPT-4 Turbo, Claude 3 Opus and Meta LLaMA 3, and integrating Autodesk Revit/IFC, Microsoft Project, Primavera and Python, it automates planning and turns raw project data into practical, actionable guidance for schedulers and managers alike.
Results
By automating planning and surfacing practical, constraint-aware insights, the platform helped the client reduce delays, streamline onboarding of new project managers, and improve cross-team coordination. Aligning BIM data with real-world constraints boosted planning precision and made project delivery more predictable, giving both expert schedulers and newcomers reliable, AI-driven support.
By automating planning and surfacing practical, constraint-aware insights, the platform helped the client reduce delays, streamline onboarding of new project managers, and improve cross-team coordination. Aligning BIM data with real-world constraints boosted planning precision and made project delivery more predictable, giving both expert schedulers and newcomers reliable, AI-driven support.