As projects become increasingly complex and the demand for accountability grows, AI is changing how construction professionals manage contracts, predict risks, and successfully deliver a project.

Construction Management Workflow

At KBCm we partner with Procore utilizing their unified, intelligent platform, Procore AI which is powered by Procore Agents, Insights, and Copilot. This integrated approach ensures that AI capabilities are embedded throughout the construction management workflow.

Procore Agents automate routine tasks, reduce manual workloads and surface insights that make construction projects faster and more efficient. These agents can oversee complex processes such as managing requests for information (RFIs), scheduling, and submittal – tasks that traditionally required days but can now be completed in hours.

Agent Studio, set for release in 2025, will enable users to customize agents for their specific project requirements without any coding knowledge, democratizing access to advanced AI capabilities.

Procore Insights helps users understand project risks across their most-used workflows, including submittals, RFIs, and daily logs. Powered by Procore’s comprehensive construction dataset, Insights enables teams to benchmark performance against industry standards and receive actionable recommendations for risk mitigation.

Procore Copilot acts as an intelligent assistant that can instantly find, summarize, and explain any information within your construction project documents, eliminating the time-consuming process of manually searching through complex project files and enabling faster, more informed decision-making on construction sites.

While Agents oversee task automation and Insights provide predictive analytics, Copilot serves as the conversational interface that makes all project information easily accessible through natural language interactions. This comprehensive approach to construction management is intelligent, predictive, and increasingly automated.

AI-Driven Contract Management

Construction contracts with their dense legal language and complex clauses can baffle even the most experienced construction project managers. AI-driven construction contract management utilizes machine learning (ML), and natural language processing (NLP) to automate and enhance contracts. This technology transforms how teams interact with critical documents by converting legal terminology into accessible, plain-English summaries.

This could be leveraged in construction in several ways, including helping project managers, superintendents and other field personnel understand what the contract means during execution. This capability is particularly valuable on construction sites where workers need quick access to contractual requirements without wading through pages of technical language.

Risk Detection and Compliance

Procore’s AI agents are designed to handle complex contracts identifying potential risks, and to flag compliance issues in real-time. They assist legal teams in identifying key terms, extracting critical details, and ensuring compliance with industry-specific regulations.

The speed is remarkable: AI can reduce contract review time from weeks to just minutes. Instead of manually searching through hundreds of contracts for specific clauses, AI-powered tools can instantly retrieve relevant provisions, reduce legal risks, and save valuable time.

Contract Analytics

AI goes beyond simple document review to provide strategic insights. Advanced analytics can examine contract portfolios to identify patterns, assess risk exposure across multiple projects, and recommend optimizations for future negotiations. This capability enables construction firms to make data-driven decisions about contract strategies and improve profitability across their project portfolios.