Fifteen practical guides that take a construction company from the business case to production: ROI, maturity, delivery models, data readiness, security and access, people, workforce redesign, testing, incident response, vendor selection, architecture, cost, acceptable use and implementation. Each page summarizes the guide and links to the full PDF.
Download the library catalog and recommended reading path (PDF)
AI Architecture for Construction Leaders
A plain-English map of a production AI system for construction leaders: what each part does, who owns it and where the control boundaries belong.
Read the guide →AI for Construction Owners and Executives
The questions construction owners and executives should ask about any AI project, and the measures that show whether it is delivering value safely.
Read the guide →Before You Give Construction AI the Keys
Security and access control for construction AI: dedicated identities, least privilege, separate read, draft and execute rights, and approval gates.
Read the guide →Build, Buy or Subscribe? Construction AI Delivery Models
How contractors choose between built-in AI, subscriptions, vertical software, low-code automation and custom builds, starting from the business requirement.
Read the guide →Buying Construction AI Without Getting Burned
A vendor scorecard for buying construction AI: test it on your own work, check data use and controls, and confirm economics and exit path before you sign.
Read the guide →Construction AI Acceptable Use Policy Template
An editable acceptable use policy template for construction companies: approved tools, what project information may be shared and what must be verified.
Read the guide →Construction AI Implementation Workbook
A gate-by-gate workbook for taking one construction AI workflow from idea to production, with an owner and a decision recorded at every step.
Read the guide →Is Your Construction Data Ready for AI?
Check whether the data behind one construction AI workflow is available, authoritative, fresh and properly restricted before you automate anything.
Read the guide →The Construction AI Maturity Ladder
Score your construction company from Level 0 to Level 5 on actual AI operating practice, and find the weakest control that limits how far you can scale.
Read the guide →The Human Factor in Construction AI
Why construction teams decide whether AI succeeds, the adoption failures to watch for, and what each role needs to learn to use AI well.
Read the guide →Trust, But Test: Construction AI Evaluation
How to test construction AI before it runs real workflows: build a test set, measure accuracy and false confidence, and set release thresholds.
Read the guide →What Construction AI Really Costs
The full cost of owning construction AI, from seats and API usage to human review and maintenance, measured as cost per successful workflow outcome.
Read the guide →When Construction AI Goes Wrong
An incident response manual for construction AI: incident categories, S1 to S4 severity levels and the first steps when an AI system gets something wrong.
Read the guide →Who Does What Now? Construction Workforce Redesign with AI
How to redesign construction roles around AI: break each role into tasks, assign each one to people, AI or automation, and keep accountability human.
Read the guide →Will AI Pay for Itself? Construction AI ROI Workbook
A workbook for deciding whether one construction AI workflow will pay for itself, using current-state cost, conservative benefits and full operating cost.
Read the guide →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.