Hivelock Get early access

Use case

AI agents for construction and engineering

Projects create huge document trails. Agents can find, compare and summarise them for the project team.

Where agents help

ProcessWhat the agent doesWho decides
RFI draftingFinds related documents and drafts a questionProject engineer
Submittal checksCompares a submittal with the specificationEngineer
Daily site reportsTurns notes into a structured reportSite manager
Supplier certificatesLists certificates near expiryProcurement
Safety document searchFinds the procedure and names its sourceSafety lead

Example in action

A site engineer asks what the specification says about a material. The agent searches the project documents and names the source file.

This is an example of how Hivelock could be used, not a customer story. Check results with your own data before relying on them.

What to be careful about

Engineering and safety decisions stay with qualified people. Agents can miss details in drawings, because they read extracted text.

How to start

  1. Choose one process with clear volume.
  2. Measure the time it takes today.
  3. Run the agent alongside your team, with approval on every outgoing step.
  4. Compare time saved, errors and rework.
  5. Decide whether to expand, improve or stop.

Common questions

Can an agent read drawings?

Document search works on text in PDF, Excel, CSV and text files. It is not suited to reading drawings as images.

Start with one process.

Tell us what your team wants to automate. Get early access.