Design Intent Communication AI
AI capture and communication of design intent throughout project delivery.
Definition
Design Intent Communication AI helps architects and engineers capture and communicate design intent to contractors and fabricators. It ensures that the reasons behind design decisions are documented and accessible, reducing misunderstandings and protecting design quality during construction.
In Depth
Design intent — the reasoning behind design decisions — is one of the most poorly documented aspects of construction projects. Drawings show what to build, specifications say what products to use, but neither clearly communicates why those decisions were made. When field conditions require changes, the construction team often does not understand the intent behind the original design and makes modifications that inadvertently violate it.
AI captures design intent by analyzing the relationships between design decisions, code requirements, and project goals. When a wall is shown as 2-hour rated on the drawings, AI documents that this rating is required because the wall is an occupancy separation between Group B and Group A-2 uses per IBC Section 508.4. If a field condition requires a modification to this wall, the construction team knows the fire rating is code-driven and must be maintained.
Examples
Documenting design rationale
Communicating design intent
Protecting design quality
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Design Intent Communication AI helps architects and engineers capture and communicate design intent to contractors and fabricators. It ensures that the reasons behind design decisions are documented and accessible, reducing misunderstandings and protecting design quality during construction.
Documenting design rationale. Communicating design intent. Protecting design quality.
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