Automations
This pillar covers browser-driven and system-connected workflows that automate repetitive actions across fragmented construction software, including tools with poor or nonexistent APIs. Pages should explain how a custom orchestration layer can bridge legacy environments, reduce coordination labor, and make construction operations more automatable without replacing the full software stack.
This foundational page details the custom orchestration layer that connects disparate construction software tools—including legacy systems with poor APIs—using browser-driven agents and system integrations. It explains how this architecture reduces manual coordination labor, automates cross-platform data flows, and creates a unified operating model for construction teams, delivering measurable time savings and error reduction without a full software stack replacement.
This workflow automates the collection and synthesis of zoning, environmental, geotechnical, and utility data from fragmented municipal portals and databases to generate preliminary site viability reports. By replacing weeks of manual research with orchestrated data agents, it accelerates pre-construction decision-making, reduces costly oversights, and provides a structured architecture for ingesting and analyzing disparate public and private data sources.
This custom workflow automates the detection, reconciliation, and notification of changes across federated BIM models from architecture, structural, and MEP teams. It eliminates manual model coordination drudgery, prevents costly clashes from version drift, and implements a production-grade orchestration layer that integrates with Autodesk Construction Cloud, Revit, and Navisworks to maintain a single source of truth.
This workflow uses computer vision and LLM agents to extract material quantities directly from PDF plans and 3D models, cross-referencing them with master specifications. It replaces error-prone manual takeoffs, slashes estimating time by over 70%, and integrates the extracted data directly into estimating software like Bluebeam or ProEst, creating a seamless, auditable pipeline from design to bid.
This orchestration workflow aggregates project data, populates jurisdiction-specific forms, attaches required drawings, and submits packages to municipal portals automatically. It cuts permit preparation time from days to hours, reduces rejection risk through pre-submission validation, and demonstrates a browser-agent architecture that navigates the fragmented, often API-less world of government permitting systems.
This workflow parses BIM model metadata and Work Breakdown Structures to automatically generate a preliminary construction schedule in Primavera P6 or Microsoft Project. It transforms weeks of manual scheduling into a repeatable, logic-driven process, improving planning accuracy and providing a dynamic foundation that can be updated as the design evolves, directly linking digital design to field execution.
This orchestration workflow ingests data from field apps, drone imagery, crew inputs, and weather feeds to synthesize a comprehensive, narrative-style daily report. It eliminates 2-3 hours of daily superintendent admin work, ensures consistent documentation for claims defense, and showcases how to build a multi-modal data fusion layer that connects Procore, DroneDeploy, and legacy daily log systems.
This workflow dynamically generates inspection checklists based on the project phase, scheduled activities, and past non-conformances, then routes them to the correct field personnel. It ensures compliance, reduces inspection setup time, and illustrates an agentic system that integrates scheduling software, quality plans, and mobile field applications to proactively manage quality control.
This automation generates pre-populated JSA forms by analyzing the scheduled tasks, site conditions, historical incident data, and relevant OSHA regulations. It standardizes safety planning, reduces preparatory paperwork by over 80%, and demonstrates how to orchestrate agents that pull data from scheduling tools, weather APIs, and safety databases to create context-aware, compliant documentation.
This workflow automates the creation, routing, and tracking of document transmittals between owners, architects, and contractors. It eliminates the manual email chase, ensures an immutable audit trail, and provides a blueprint for a custom orchestration layer that sits atop document management systems like Procore, Aconex, or SharePoint, using browser automation to handle systems without open APIs.
This orchestration workflow validates field-submitted timesheets against project schedules, approved crew lists, and geofenced location data before seamlessly pushing validated hours to payroll systems like ADP or Sage. It reduces payroll processing errors and fraud risk, cuts administrative overhead by 60%, and integrates field mobile apps with back-office ERP and HR systems.
This specialized trade workflow automates clash detection and coordination for electrical systems by analyzing BIM models, generating optimized routing suggestions, and updating shop drawings. It prevents field conflicts, reduces rework costs for electrical subcontractors, and details an agentic architecture that connects design tools like Revit with fabrication software and field coordination platforms.
This heavy civil workflow processes drone and vehicle-mounted sensor data to automatically detect cracks, potholes, and wear, generating prioritized repair recommendations and cost estimates. It replaces manual visual inspections, enables predictive maintenance for infrastructure owners, and outlines a computer vision and geospatial analytics pipeline integrated with asset management systems like Cityworks.
This workflow orchestrates continuous, rule-based clash detection between architectural, structural, and MEP models, escalating only critical conflicts for human review. It moves beyond batch processing to a live coordination model, drastically reducing redesign cycles and illustrating a serverless orchestration framework that triggers analyses in Navisworks or BIMcollab based on model update events.
This workflow continuously scrapes supplier catalogs and commodities indices, alerting estimators to price fluctuations and automatically updating active bid estimates. It protects project margins from volatile material costs, provides a competitive bidding edge, and demonstrates a resilient data-ingestion architecture that normalizes pricing data from hundreds of fragmented web sources into a unified cost database.
This workflow aggregates comments from multiple municipal reviewers (PDF markups, emails, portal comments), clusters them by discipline, and drafts initial response narratives for the design team. It cuts through the chaos of plan review, reducing response time by days and providing a clear implementation pattern for document AI and LLM agents working within regulated approval processes.
This workflow analyzes the project schedule, productivity rates, and subcontractor commitments to forecast weekly labor and equipment needs, triggering alerts for shortages or overallocation. It optimizes resource utilization, prevents schedule delays, and shows how to build a forecasting engine that integrates with Oracle Primavera, ERP systems, and subcontractor portals for real-time capacity planning.
This workflow uses computer vision to analyze site inspection photos, identify defects against quality standards, and automatically generate categorized punch list items with location tags in field management software. It turns hours of photo review into minutes, ensures nothing is missed, and details the integration of vision models with platforms like Procore or Autodesk BIM 360.
This safety workflow ingests unstructured incident reports from mobile apps, uses NLP to classify severity and potential root causes, and routes them to the appropriate safety officer or insurance liaison. It accelerates response to critical events, improves trend analysis, and demonstrates an event-driven orchestration layer for safety management systems that prioritizes human review where it's needed most.
This workflow monitors model updates and meeting minutes to identify design gaps, automatically drafts well-structured RFIs with relevant background, and manages the entire RFI log—from submission through response tracking. It ensures RFIs are proactive rather than reactive, reduces administrative burden on project engineers, and automates interactions with systems like Newforma or Procore.
This financial control workflow validates subcontractor invoices against contract terms, purchase orders, and completed work milestones before routing them through the appropriate approval chain. It speeds up payment cycles, improves cash flow forecasting, and provides a blueprint for an AP automation layer that connects OCR, contract AI, and ERP systems like Viewpoint or Sage 300.
This trade-specific workflow optimizes concrete pour sequences based on weather, crew availability, and pump access, then automatically dispatches trucks and alerts inspectors. It minimizes wait times and cold joints, improves batch plant efficiency, and orchestrates data flows between scheduling software, weather APIs, ready-mix vendor portals, and superintendent mobile devices.
This infrastructure workflow ingests data from drones, sensors, and manual inspections, synthesizes findings, and auto-generates compliant inspection reports for DOTs. It replaces weeks of manual report compilation, standardizes data collection, and details a custom pipeline for processing multimodal inspection data into structured, audit-ready deliverables.
This procurement workflow automatically identifies needed bid packages, extracts relevant drawings and specs, distributes them to pre-qualified subs/suppliers via email or portal, and aggregates responses into a comparative bid tab. It expands bidder pools, ensures a fair and transparent process, and demonstrates large-scale browser automation for interacting with dozens of vendor systems.
This compliance workflow uses agents to continuously monitor and parse updates from municipal code websites, mapping changes to active projects and flagging impacted design elements. It eliminates manual tracking, reduces compliance risk, and shows how to build a resilient web-scraping and semantic search architecture that keeps pace with regulatory change.
This workflow ingests hyperlocal weather forecasts, assesses impact on scheduled activities (e.g., exterior work, concrete), and automatically generates revised look-ahead schedules and resource plans. It enables proactive rather than reactive response to weather, minimizing downtime, and integrates weather APIs with scheduling tools like Microsoft Project or Oracle Primavera.
This quality workflow triggers from inspection failures, auto-populates NCRs with photos, specs, and responsible parties, and routes them through containment, correction, and verification steps. It ensures rigorous quality closure, reduces paperwork, and implements a state-machine orchestration (e.g., using LangGraph) to manage the entire NCR lifecycle within quality management systems.
This safety workflow processes live video feeds from site cameras using computer vision to detect PPE violations (e.g., missing hard hats, safety vests) and immediately alerts site supervisors via SMS or dashboard. It creates a continuous, scalable safety monitoring layer, reduces incident rates, and details the integration of edge AI models with site communication and alerting systems.
This document workflow analyzes contract specifications to generate a master submittal register, then orchestrates the preparation, review, and approval routing for each submittal package across design and owner teams. It eliminates spreadsheet tracking, prevents missed submittals, and automates interactions with platforms like Bluebeam Revu or Procore for markups and approvals.
This financial workflow aggregates data from timesheets, material invoices, and stored material reports to auto-populate AIA payment applications, calculate completed work values, and compile supporting documentation. It cuts monthly billing preparation from days to hours, improves cash flow, and integrates job cost data from ERP systems like Sage or CMiC directly into standardized billing formats.
This MEP trade workflow ensures consistency between HVAC equipment schedules in spec sheets and actual ductwork shop drawings by cross-referencing models and flagging discrepancies. It prevents procurement and installation errors, reduces coordination meetings, and uses agents to validate data across Revit, Excel schedules, and subcontractor submittals.
This civil workflow automates the identification of conflicts with existing utilities, generates notification packages for utility owners, and tracks the status of relocation design and permits. It prevents costly delays from undiscovered utilities, and demonstrates an orchestration layer that interacts with GIS systems, 811 call centers, and utility company portals.
This workflow uses LLM agents to parse architectural drawings and project manuals, checking design elements against a master specification library for compliance with client standards or brand guidelines. It automates a tedious manual review, ensures design consistency, and provides a retrieval-augmented generation (RAG) architecture for querying large, unstructured specification documents.
This estimating workflow ingests bid proposals from subcontractors in various formats (PDF, Excel, email), normalizes the data, and generates comparative scoping sheets highlighting inclusions, exclusions, and alternates. It replaces manual bid leveling, accelerates contractor selection, and uses document AI to extract and structure data from unstructured vendor submissions.
This workflow monitors the construction schedule and automatically books municipal inspections via portal or phone, while pre-assembling the required inspection cards, cut sheets, and prior inspection reports for the inspector. It eliminates missed inspections and unprepared site walks, orchestrating calendar systems, document management, and even browser bots for online booking.
This workflow takes weekly goals and automatically breaks them down into daily crew-level task assignments, accounting for dependencies, material delivery, and equipment availability. It improves field productivity and communication, replaces whiteboard planning, and integrates with last-mile field management tools to adjust plans based on daily progress input.
This quality workflow automatically solicits mill test reports and certificates of compliance from suppliers upon material delivery, then verifies them against project specifications. It ensures material traceability and compliance, reduces manual follow-up, and creates an automated data pipeline between procurement systems, supplier portals, and quality documentation platforms.
This risk management workflow automatically requests, parses, and validates certificates of insurance (COIs) from all subcontractors, checking for correct coverages, limits, and additional insured status. It reduces administrative burden and compliance risk, using OCR and LLM agents to extract data from PDF COIs and integrate with risk management databases.
This workflow centralizes change order requests from email, field apps, and meetings, auto-populates a log, and routes them through cost estimation, approval, and execution steps with full visibility. It prevents lost changes and cost overruns, demonstrating a state-machine orchestration that connects project management, accounting, and field communication systems.
This financial workflow automatically allocates invoices, timesheets, and purchase orders to the correct job cost codes, and generates real-time Budget vs. Actual (BVA) reports for project managers. It ensures accurate cost tracking, replaces manual journal entries, and integrates data from Procore, ERP systems, and payroll into a unified financial dashboard.
This civil/sitework workflow processes drone-surveyed topographic data to calculate optimal cut/fill balance and generate efficient haul truck routes to minimize move distance and fuel cost. It replaces manual surveying and planning, reduces earthmoving costs by 10-15%, and integrates drone data platforms with civil design software and fleet telemetry.
This structural steel workflow generates optimized erection sequences from the BIM model and automatically creates a digital bolt log that field crews update via mobile app, tracking each bolt's torque value and inspector sign-off. It ensures structural integrity documentation, replaces paper logs, and connects detailing software (Tekla), scheduling tools, and field QC platforms.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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