Direct answers to twelve questions construction owners ask about AI, from what to automate first and what it costs to how much oversight it needs and when an AI agent may act without approval. Each answer page explains what the answer means in practice.
AI vs. Traditional Automation for Contractors
Use traditional automation when the rules are deterministic.
Read the answer →Can AI Help With Construction Estimating?
Yes, especially with document intake, scope organization, historical retrieval, comparison and draft preparation.
Read the answer →Can AI Manage Subcontractor Follow-Up?
AI can reliably prepare and track routine subcontractor follow-up when the workflow defines approved channels, timing, escalation rules, evidence and human approval for consequential communication.
Read the answer →How Can AI Help a Construction Company?
AI helps construction companies most when it reduces repetitive information work, improves follow-through, prepares decisions and connects scattered knowledge without removing human authority from consequential decisions.
Read the answer →How Do You Calculate AI ROI for Contractors?
Compare measurable baseline cost or lost value against the full operating cost of the AI workflow, then validate with real production data rather than projected time savings alone.
Read the answer →How Do You Safely Give AI Access to Construction Systems?
Give AI the minimum permissions needed for the workflow, separate permission from autonomy, protect credentials, log actions and require approval at consequential external boundaries.
Read the answer →How Much Does AI Cost for a Construction Company?
The model subscription is usually only one part of cost.
Read the answer →How Much Human Oversight Does Construction AI Need?
Oversight should match consequence, reversibility and uncertainty.
Read the answer →What Is an AI Agent in Construction?
An AI agent is software that can interpret an objective, use tools and take multiple steps toward an outcome.
Read the answer →What Is an AI Governance Cage?
The Catha Governance Cage is a model-independent control layer that acts as the company AI constitution: it defines authority, permissions, autonomy, approvals, evidence, monitoring and recovery for AI workflows.
Read the answer →What Should a Contractor Automate First?
Start with one workflow that is frequent, measurable, information-heavy, frustrating to staff and low enough risk to test safely.
Read the answer →When Should an AI Agent Act Without Approval?
Only when the action is explicitly authorized, low enough consequence, observable, recoverable and consistently validated.
Read the answer →Use AI where it creates value. Govern it everywhere it acts.
Catha helps construction companies identify, build and manage AI workflows while keeping business authority in human hands.