AI & construction glossary

Official modifications to bid documents issued before bid opening. Addenda can change scope, clarify requirements, or modify contract terms. Must be acknowledged in bid submission. AI can help compare revisions.

An autonomous AI system that plans, executes, and adapts a sequence of actions to accomplish a goal — unlike chatbots that respond to individual prompts. In construction, AI agents can process entire bid packages, extract requirements, generate deliverables, and flag issues without requiring a separate human prompt for each step.

Policies and procedures for managing AI use within an organization, including data security, output verification, acceptable use, and compliance requirements. Essential for responsible AI adoption in construction.

Measuring the value generated by AI implementations against their costs. In construction, commonly measured by time saved on tasks, errors prevented, and improved win rates on bids.

Using artificial intelligence to automatically extract information, identify key terms, and summarize content from construction documents like specifications, contracts, and RFIs. Significantly reduces manual review time.

Software that can perform tasks that traditionally required human thinking, such as understanding language, recognizing patterns, making decisions, and learning from examples. In construction, AI is used for document analysis, estimating, and workflow automation.

Drawings and documentation that reflect actual installed conditions, including any deviations from original design. Required for project closeout and essential for future maintenance and renovations.

A formal document that modifies the original contract scope, schedule, or price. Results from design changes, unforeseen conditions, or owner requests. Proper documentation is critical for getting paid for extra work.

AI technology that can interpret and understand visual information from images and video. In construction, used for progress monitoring from site photos, safety compliance checking, and quality inspections.

The general requirements section of construction specifications covering administrative and procedural requirements that apply to all trades. Includes submittal procedures, quality requirements, and project coordination.

The automated extraction of structured data from unstructured documents such as quotes, bills of quantities, invoices, and specifications. In construction, AI document parsing eliminates manual data entry by reading PDFs and producing organized datasets for estimating and accounting systems.

The process of further training an AI model on specific data to improve its performance for particular tasks. In construction, this might mean training on your company's historical estimates or project documentation.

Contract provisions that pass obligations from the prime contract down to subcontractors. Can include schedule requirements, insurance, indemnification, and dispute resolution terms. Critical to review before signing.

When an AI system generates information that sounds plausible but is factually incorrect or made up. This is a critical concern in construction where accuracy matters. Always verify AI outputs against source documents.

Clear statements in a bid or proposal defining what work is and is not included in the price. Critical for avoiding scope disputes and ensuring accurate bid comparison.

A formal solicitation from an owner or general contractor inviting subcontractors to submit pricing for a defined scope of work. The starting point for the bid process.

A systematic process for identifying potential hazards associated with specific tasks and determining controls to eliminate or reduce risks. Required for many construction activities, especially high-risk MEP work.

A structured collection of documents and information that AI systems can search and reference. Building a knowledge base from past projects enables AI to provide company-specific answers grounded in your actual experience.

An AI system trained on vast amounts of text data that can understand and generate human-like text. LLMs power tools like ChatGPT and Claude, and are used in construction for analyzing specifications, contracts, and generating documentation.

Pre-determined monetary penalties specified in contracts for failing to meet deadlines or other requirements. Important contract term that subcontractors should identify and understand during bid review.

A type of AI where systems learn patterns from data rather than being explicitly programmed. Used in construction for predictive analytics, cost estimation, and identifying patterns in historical project data.

The three major building systems that specialty contractors install and maintain. MEP subcontractors handle HVAC, electrical wiring, plumbing, fire protection, and related systems. A significant portion of construction project costs.

Documentation package provided at project completion that includes equipment specifications, maintenance schedules, warranty information, and operating procedures. Required for MEP systems closeout.

The phase of a construction project before physical work begins, encompassing bid review, estimating, scope development, value engineering, and contract negotiation. AI accelerates preconstruction by automating document review, requirement extraction, and deliverable generation.

The practice of crafting effective instructions (prompts) to get useful outputs from AI systems. Good prompts include context, specific requirements, and examples. Essential skill for using AI tools in construction workflows.

A list of incomplete or defective work items that must be corrected before final project acceptance. Created during final walkthrough. AI can help create consistent, detailed punch lists.

Systematic processes for ensuring work meets specifications and standards. QA focuses on preventing defects through process controls. QC focuses on identifying defects through inspection and testing.

An AI technique that combines language models with document retrieval to provide answers grounded in specific source documents. Reduces hallucinations by forcing the AI to cite actual documents rather than generating from memory.

A formal document used during construction to clarify design intent, resolve conflicts in documents, or address unforeseen conditions. AI can help draft RFIs that get answered quickly by referencing relevant spec sections.

Gradual expansion of project scope beyond original contract requirements without corresponding adjustments to time or cost. Often results from unclear specifications or informal direction. Must be documented and addressed promptly.

Written requirements that describe materials, products, and workmanship standards for a construction project. Organized by CSI divisions. AI can help quickly find relevant requirements within lengthy spec documents.

Documentation submitted by contractors to demonstrate that proposed materials, equipment, or methods comply with contract requirements. Includes shop drawings, product data, and samples. AI can help build complete submittal packages faster.

The process of verifying that a contractor's proposed materials, equipment, and methods comply with the contract specifications and drawings. AI-powered submittal review automates requirement extraction and compliance checking, reducing the review cycle from days to minutes.

A contract or billing method where the contractor is paid for actual labor hours and materials used, plus markup. Common for change orders and work where scope cannot be precisely defined in advance.

The process of measuring and quantifying materials, labor, and equipment needed for a construction project by analyzing drawings and specifications. AI can accelerate takeoffs by extracting quantities from digital plans.

Brief safety meetings held at job sites, typically at the start of a shift, to discuss specific hazards and safety procedures. Required by many safety programs and OSHA compliance.

A systematic method for improving the value of a project by analyzing functions and identifying alternatives that reduce cost while maintaining or improving performance. In construction, value engineering evaluates materials, methods, and systems against project requirements to find savings without compromising quality.