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Construction

Fieldline

Construction jobs carried from schedule to invoice

Construction operator with office staff and field crews

4
build phases from setup to AI billing
I / The situation
01

Estimates are on paper, schedules are in spreadsheets, and billing is manual.

02

The same job gets retyped for scheduling, management, and invoicing.

03

Office staff reconstruct completed work before they can send an invoice.

II / What we built
01

Tenants, roles, and records

A multi-tenant structure with customer and vendor records and role-based access.

02

Jobs, crews, and schedules

Jobs connect to crews and schedules so the office and the field share one record.

03

Field and management views

Working views for field operations and dashboards for management.

04

AI-assisted invoice preparation

OpenAI drafts invoice content from completed-job data already in the platform, with approval and issuing kept as separate steps.

III / Results
4
build phases from setup to AI billing
6
connected record types
01

Field operations, scheduling, and billing in one product

02

Invoices prepared from recorded job data instead of reconstructed from memory

03

AI billing built on the same job record, without a separate tool

04

Approval, issuing, and collection kept as clear, separate business actions

IV / Stack
AI used

OpenAI. Drafts invoice content from completed-job records for office review

Frontend

Next.js

Backend

Node.js, Multi-tenant architecture

Data

PostgreSQL

AI and automation

OpenAI

Integrations

Stripe

V / This is for you if
01

Your office rebuilds job details by hand before every invoice

02

Crews, schedules, and billing live in different tools

03

You want AI help with invoicing that works from real job data

Book afree call.

One call about one workflow. We talk through the scope, the timeline and the quote, then you decide.