AI project intake for NYC general contractors

General contractors can use AI to organize project enquiries, summarize bid documents, and prepare follow-up tasks. The best starting point is a qualification process that tells the team whether a project fits before committing estimating time. Pricing, contract interpretation, construction methods, and scheduling decisions need accountable professional review.

Define what a qualified project looks like

Write down the project types, locations, capacity, and delivery models your company accepts. Capture the owner or representative, property address, broad scope, intended schedule, and whether design documents exist. Treat a stated budget as customer-provided context, not proof that the work can be delivered within it. A kitchen renovation and a multi-unit conversion need different review paths. Give uncertain projects a named reviewer instead of letting the assistant reject or accept them on vague criteria.

Create a controlled document intake

Store drawings, specifications, addenda, and correspondence with dates and versions. Ask AI to extract document names, deadlines, and obvious missing attachments into a bid checklist. Require the estimator to verify the extraction against the source. If two drawings disagree, show the conflict rather than selecting one silently. Keep customer uploads separate from trusted operating instructions so a sentence inside a document cannot change tool permissions or trigger an unauthorized external action.

Prepare the walkthrough agenda

Turn intake information into questions for the site visit: access, occupancy, staging, utilities, existing conditions, and owner decisions still outstanding. Label every assumption. A customer’s request to start next month should prompt a capacity review, not become a commitment in the confirmation email. AI can draft a concise agenda and a document request, which the project lead checks before sending. This preparation helps the walkthrough resolve uncertainty instead of repeating questions already answered.

Coordinate bids and follow-up

Track who owns quantity takeoffs, subcontractor requests, allowances, and exclusions. Send reminders based on real deadlines and current status. When an addendum arrives, flag affected packages and require acknowledgment before the proposal is finalized. Stop sales follow-up when the customer responds, procurement pauses, or the project is declined. Escalate contract changes and commercial negotiations. A clean bid register is more valuable than automatically producing a large volume of unreviewed proposal text.

Evaluate workload and proposal reliability

Measure qualified enquiries, estimating hours per submitted bid, missing-document incidents, proposal corrections, and outcomes by project type. Record why you declined work so the intake rules improve without drifting into arbitrary exclusion. Use NIST’s AI Risk Management Framework to organize responsibilities and monitoring. Compare the full cost of review and software with verified time saved. Expand only when the team can trace each proposal assumption to an approved source or a clearly identified open question.