Vendor due diligence before the demo becomes a contract.
No technical background required. Use it with your leadership or operations team.
Download the PDFAsk before buying
- Which construction workflows are actually supported?
- Which systems integrate natively?
- Who owns submitted and generated data?
- Is customer/project data used for model training?
- How are permissions inherited?
- What is logged?
- Can actions require approval?
- How are duplicate actions prevented?
- What happens when the model or connector fails?
- Can we export our data and leave?
- What are all usage/implementation/support costs?
- Can we test with our own project cases?
Construction decision rule
Use the least expensive, least privileged and least complex AI approach that can reliably improve the construction outcome. Increase intelligence, access or autonomy only when measured evidence shows the simpler approach is insufficient.
How to use this download
Work through the questions using one real construction workflow. Do not score the company in the abstract. The purpose is to identify the next practical decision, not to justify AI where it does not belong.
Practical questions construction owners ask.
What should we ask a vendor about our data?
Who owns submitted and generated data, and whether customer or project data is used for model training.
What should we ask about failures?
What happens when the model or connector fails, and how duplicate actions are prevented.
Can we test before signing?
Ask whether you can test with your own project cases. It is due diligence before the demo becomes a contract.
Keep reading
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.