Use Cases for Construction

RFP received from client or portal.

AI parses RFP, extracts scope and specs.

Historical bid data, supplier pricing, and labor rates pulled to assemble base bid.

Bid assembled in hours with margin recommendations.

Estimator refines pricing, adds strategic positioning.

Senior estimator approves and submits.

Bid outcome tracked, win/loss feeds AI model.

Crew submits daily report via mobile (photos, hours, materials, progress).

AI extracts data, populates project tools and timesheets.

Time and material data pushed to billing.

Discrepancies flagged for PM review.

PM reviews exceptions, approves billing.

Invoice generated and sent to client.

Project KPIs updated in real time.

Job data (schedule, cost, progress, RFIs) aggregated continuously.

Live KPIs computed: budget burn, schedule variance, milestones.

Dashboard accessible to PM, owner, executive.

Alerts pushed when projects deviate from plan.

PM addresses issues with real-time data.

Owner reports auto-generated on schedule.

Sub assignments, schedules, and dependencies entered.

AI sequences subs based on critical path.

Subs receive automated schedule updates and confirmations.

Subs check in via mobile.

Delays detected; downstream subs notified.

PM resolves conflicts with full visibility.

Sub performance tracked for future scoring.

RFI submitted from job site.

AI categorizes and routes to correct architect, engineer, or owner.

Response tracking with auto-escalation if delayed.

Stakeholders kept informed automatically.

Response received, distributed to affected parties.

Resolution logged in project record.

Safety inspections submitted via mobile (checklists, photos).

AI scores safety compliance, flags issues.

Incident reports auto-routed to safety officer.

Corrective actions assigned and tracked.

Trends surfaced (recurring issues, training gaps).

Compliance documentation auto-assembled for audits.