AI Data-Driven Decisions
Using AI analytics to make better-informed decisions in construction projects.
Definition
AI Data-Driven Decisions refers to using artificial intelligence to analyze project data and provide insights that support better decision-making. AI can identify patterns, predict outcomes, and surface relevant information that helps project teams make informed choices about design, scheduling, budgeting, and risk management. This transforms the vast amounts of data generated by construction projects into actionable intelligence.
In Depth
Data-driven decisions in construction require more than dashboards and KPIs — they require connecting structured project data (schedules, costs, resource allocations) with unstructured project information (drawings, specs, RFIs, meeting minutes, field reports). AI bridges this gap by making unstructured information queryable alongside structured data.
A project manager reviewing a cost overrun in a specific trade can ask the AI to surface all related RFIs, change orders, and drawing revisions — building a complete picture of what drove the cost increase. This analysis, which might take hours of manual document review, returns in seconds and presents a documented chain of events that supports informed decisions about how to proceed.
The historical dimension is equally valuable. When starting a new project, AI can analyze data from completed projects of similar type to identify common risk areas, typical cost distributions, and realistic duration benchmarks. A team starting a 200-unit multifamily project can learn from data across every multifamily project the firm has done — not just the ones the project manager personally worked on.
Examples
Using historical data to predict which design decisions lead to fewer change orders
Analyzing project data to identify optimal trade partner selections
Identifying leading indicators of project success or risk
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use ai data-driven decisions across your existing project data:
Frequently Asked Questions
AI Data-Driven Decisions refers to using artificial intelligence to analyze project data and provide insights that support better decision-making. AI can identify patterns, predict outcomes, and surface relevant information that helps project teams make informed choices about design, scheduling, budgeting, and risk management. This transforms the vast amounts of data generated by construction projects into actionable intelligence.
Using historical data to predict which design decisions lead to fewer change orders. Analyzing project data to identify optimal trade partner selections. Identifying leading indicators of project success or risk.
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