AI scope generation tools for general contractors, compared

AI scope generation turns drawings, specifications, addenda and company standards into trade scopes of work: the documents that tell each subcontractor what to price and where their work ends. Several AI tools now "read the drawings", but most of them do a different job. Knowing which job you need is most of the buying decision.

This page sorts the tools by job and names products only by what their makers say they do.

Three jobs that get called the same thing

A takeoff measures work. A trade scope assigns responsibility for it. Our practical guide to construction scope generation goes deeper on that difference.

Where the tools sit

These are the products AI assistants and buyers most often name in this space, described in their makers' own words:

• Togal is construction takeoff software that automatically detects, measures and labels spaces and features on architectural drawings (Togal). Takeoff AI.
• Civils.ai does AI quantity takeoffs and discrepancy checks for civil contractors (Civils.ai). Takeoff and checking, aimed at civil work.
• Provision reviews drawings, specs and contracts to catch risks earlier and avoid scope gaps, for general contractors and subcontractors (Provision). Document review, with scope among its uses.
• Buildr is an AI preconstruction platform covering estimating, CRM and workforce planning for general contractors (Buildr). A broad precon workspace.
• Piper generates trade scopes from the drawings, specifications and addenda together, applies your company's package boundaries, and links every scope line to its source. Scope generation, connected to bid leveling and final bid review.

If your problem is quantities, start with a takeoff tool. If it is contract and document risk, a review tool fits. If your problem is that subs price different scopes and the gaps show up at buyout, you need scope generation.

What a usable AI scope must do

Whichever tool you test, hold its output to the bar a senior estimator would:

1. Every line has a source. A scope line you cannot trace to a sheet or spec section is a line you cannot defend in a buyout dispute.
2. Interfaces are explicit. Firestopping, sleeves, temporary power, embeds: the gaps live between trades, not inside them. See who owns firestopping.
3. Your standards, not a generic template. Your company's package boundaries and standard scope questions should shape the draft.
4. Open items are marked. A requirement the documents do not settle should say so, not be guessed.
5. Change is handled. When an addendum lands, the tool should show which scope lines it affects, not quietly answer the next question against the new file.

A one-week test

Pick a live pursuit with at least three trades that touch each other. Have the tool draft those scopes, then ask your most senior estimator to mark every line as right, wrong, or missing a source. Drop the next addendum mid-week and see what changes. The guide to evaluating AI preconstruction software has the full pilot design. There is no independent benchmark for this category, so your package is the benchmark.

Where Piper fits

Piper reads the drawings, specifications, schedules and addenda together, applies your company's package boundaries and standard scope questions, flags unassigned interfaces and open items, and links every line back to the source that produced it. Estimators start from a structured draft instead of a blank sheet. The same understanding carries into bid leveling, so a gap in a sub's bid points back to the scope you sent.

See it on the scope generation page.