b'Applying AI on Construction Jobsites: Where itMeasurable Productivity Gains Actually Delivers ValueThree areas consistently improve with AI support:Construction teams dont need another tool that promisesLabor reporting becomes more accurate when AI flags everything and delivers friction. They need AI that fitsentries that deviate from similar work patterns. This how work actually gets done, supporting the daily rhythmseliminates rework during cost reconciliation and provides of field coordination, cost tracking and project oversightclearer visibility into productivity rates. without adding complexity. The gap between AIs potential and constructions realityDrawing interpretation gets faster when AI maps tasks to isnt about the technology. Its about alignment. Most AIrelevant sheets and details. Clarification cycles shorten. tools fail because they dont account for how foremen planCrews spend less time waiting and more time building. work, how superintendents track progress or how project managers reconcile costs. Practical AI succeeds by strengthening these existing workflows instead ofProgress reviews become more focused when AI replacing them.highlights variances from planned activities. Meetings get shorter and decisions become clearer. Where AI Actually Delivers Value The Importance of Incorporating the Best AI-AI works best when applied to tasks that repeat acrossEnabled Solution to Your Construction Operations every project; tasks already captured in your systems: It is clear that finding the right AI-powered solution to incorporate into your technology stack is critical to Data entry and validation. Field teams submit time,elevating performance. While there are many options in quantities and equipment hours daily. AI reviewsthe market today, there are some that stand out. entries in real-time, flagging anomalies before theyEnter CMiCs latest product offering, NEXUS. compound into costly corrections weeks later. Drawing and documentation support. Instead ofRepresenting the first AI-powered construction ERP, crews searching through revision sets and RFI logs, AINEXUS combines Natural Language Processing, surfaces relevant drawings, specifications andConstruction Intelligence and Agent-Driven Automation annotations instantly. Questions get answered withoutto deliver a next-generation construction management waiting for office support.solution built for long-term performance.Progress tracking and variance detection. AI compares planned versus actual progress, highlightingNEXUS revolutionizes how construction teams interact discrepancies that need attention. Project teams focuswith data, automate workflows and make critical on exceptions instead of manually reviewingbusiness decisions. Powered by the large language everything.models (LLMs), CMiC has built the foundation to Resource planning. AI analyzes patterns in pastsupport agentic workflows. Teams can query their data projects, from labor deployment, equipment cycles andusing natural language, delegate time-consuming tasks to subcontractor sequences, to guide short-term planningAI-enabled task agents and leverage sentiment analysis and reduce bottlenecks.to identify potential project issues before they escalate. These arent theoretical applications. TheyreWith a modernized interface and enhanced system immediate improvements to work thats alreadyperformance, NEXUS eliminates manual processes and happening.frees teams to focus on strategic, high-value work. The Right Way to Introduce AIOn top of that, CMiCs unified platform creates the right Successful adoption comes down to three principles:conditions for practical AI. Labor, costs, quantities, First, use data you already capture. Time cards, cost codes,equipment, drawings and correspondence live in a single schedules, RFIs, equipment logsAI should work withsystem. AI insights appear where teams already work (in existing information, not demand new processes.daily reviews, planning sessions and cost assessments), not as separate analytical exercises. Second, deliver insights when teams actually makeThis approach keeps AI grounded in routine practice. decisions. Foremen review work daily. Project managersWorkflows stay familiar. Information becomes more update costs weekly. AI should surface information duringreliable. Decision-making gets clearer across the field these natural touchpoints, not in separate dashboards thatand office. Productivity improves through steady, nobody checks.repeatable progress that builds over time.Third, start focused. A narrow, well-defined rolelike validating labor entries or retrieving drawing referencesbuilds trust faster than broad promises. Expand capabilities once teams see consistent value. 12'