I've been working on an AI-assisted subcontractor management system. It starts with the signed subcontract and agreed scope, budget and programme. Basically after procurement is done and you have locked in the sub-contractor. From there, we have each step in the process and some small, discrete Claude skills that you run to support each process. We also have a library of business templates and project information that sits behind them. Setup and mobilisation: summarise obligations, build a checklist for documents and site readiness, and agree how progress will be reported. Delivery: check performance against the plan, review payment claims against verified progress, assess variations and draft notices. For variations, check entitlement first, then price and time. This Close-out: check the final account and handover requirements, then record lessons learned and subcontractor performance for future projects. The system combines organised project records, shared business information and reusable AI workflows that you customise to your processes. Check out the walk-through: https://youtu.be/04Vw2WqI2dE

hey everyone my name is basit, 25 years old i live in nairobi kenya. my father owns a construction company that focuses on water works buildings and roads and i work with him as he's teaching me the family business. i want to learn as much as i can help him as much as i can and when it's my time to run the business i have the skills to keep growing it.

How to Use AI in Construction Estimating Without Losing Control of the Bid A construction estimate is a commitment: we can build this scope for this price, in this time, from documents we’ve often only had for a couple of weeks. That’s why handing the whole bid to AI and hoping for the best is a terrible idea. I think there are three sensible levels: - Start with risk reduction. Use AI to check your estimate for missed requirements, gaps, double-counting and formula errors. - Use it to structure information. Build requirements and clarifications registers, then review them before they feed into the next step. - Once your data is organised, use it for more of the heavy lifting like assemblies, line-item pricing, subcontractor quote comparisons and submission documents. The important part is keeping human review between each workflow so errors don’t compound. Where are you currently using AI in your estimating process?

Hi All, Has anyone set up both inbound and outbound calling for their agent? If so, how is that handled, in the prompt or through some other manner? Use case: inbound calls classify caller as prospect, current client, vendor/supplier, field technician or urgent caller and then routes call to proper workflow (get info, take message, schedule appt., forward call, etc.), updates crm records etc. If field technician, records info on job status, updates job and creates task list. Outbound: calls suppliers back, makes call based on tasks created by field technician such as calls supplier to place order, calls sub contractor to schedule work, etc.