Part 2: What Does an AI-Generated Construction Scope of Work Actually Look Like?

In Part 1 of this series, I made a case for AI-assisted estimating based on research, data, and a conversation with a general contractor who had been in business for 20 years and were still losing bid opportunities because estimates were taking too long.

That post was about the problem. This one is about the output.

Before building a custom workflow for a client, I demonstrate the tool on a sample commercial project. That way the contractor sees exactly what comes out the other side before we touch a single bid. What follows is a walkthrough of that output, including actual scope line items organized by construction division, cost code assignments, flags the AI raised on its own, and an energy code compliance summary pulled directly from the mechanical and electrical drawings.

To protect client privacy, the company in this walkthrough is referred to as Summit Construction Group, a general contractor in the South Carolina Midlands.

Demonstration: Scope of Work in Action

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Key Takeaways

•The AI reads uploaded plan sets as portable document format (PDF) files and produces a structured scope summary organized by construction division, not a generic summary.

•Every line item carries a cost code tag so your estimator can move directly from the summary into your estimate template.

•The tool flags its own gaps. Items it could not extract cleanly are listed separately for human review, not quietly omitted.

•An energy code compliance table is generated automatically when the drawings contain that data.

•The output is a starting point, not a finished estimate. Your estimator reviews, adjusts, and owns the final number.

What the AI Actually Received

The demonstration used a full commercial plan set for a 14,000-square-foot interior renovation of a two-story professional services building. The project included selective demolition, new partition construction, architectural finishes, plumbing fixture replacements, a full HVAC system upgrade with new rooftop units, lighting and power upgrades, fire suppression modifications, and site improvements.

That is a multi-trade, multi-division scope. Exactly the kind of plan set that eats estimating hours.

The AI received the plan set as a PDF upload. No manual data entry. No template to fill out first. Just the drawings.

How the Output Is Organized

The first thing most contractors notice is what the output is not. It is not a wall of narrative text. It is not a generic summary that says 'HVAC work required per drawings.' It is a bulleted, division-by-division scope document with cost code tags on every line item.

Here is a sample from the demolition section:

DIVISION 02 - EXISTING CONDITIONS AND DEMOLITION

Remove existing walls and partitions on the second floor per architectural demolition plans. Patch and prepare adjacent floors and walls to receive new finishes. [02-200 | LAB]

Remove existing air terminal boxes, exhaust registers, and associated ductwork per mechanical demolition plans. [02-200 | LAB, SUB]

Demolish and remove existing air handling units (AHUs) from rooftop per mechanical drawings. Existing roof curbs and equipment rails remain in place. [02-200 | LAB, SUB]

Remove existing electrical devices, conduit, and wiring back to nearest active junction box or source per electrical demolition plans. Remove all non-functional conductors including power and telecom cables. [02-200 | LAB, SUB]

Each item references the drawing set it came from using a general description rather than a specific sheet number, keeping the source clear while protecting the client. The cost code tag appears in brackets. The labor category, whether the work is general contractor labor, subcontractor, material, equipment, or testing, is noted at the end of each line.

That structure is not accidental. It was built to match the way a general contractor's estimate template is organized so the estimator is not reformatting output before it is useful.

The Tool Covers Every Trade

The scope document moves through every applicable construction division in sequence. Here is a sample from the HVAC section, which is typically one of the most time-intensive trades to scope from plans:

DIVISION 23 - HVAC

Provide new packaged rooftop units (RTUs/AHUs) mounted on existing roof curbs with new curb adaptors per mechanical equipment drawings. RTU features include inlet guide vanes, factory-mounted disconnect, low-leak fresh air dampers, high-efficiency motors, extended grease lines, factory access doors, interface modules tied to existing building automation system (BAS), new spring vibration isolators, and a 5-year compressor warranty. [23-400 | EQP, MAT, LAB, SUB]

Rebalance existing variable air volume (VAV) air terminal boxes to cubic feet per minute (CFM) values shown on mechanical plans. [23-200 | LAB, TST]

CO2 level control per mechanical controls sequence: when space carbon dioxide (CO2) exceeds 1,100 parts per million (PPM) for 5 minutes, air volume regulator modulates to maximum cooling position. System returns to normal sequence after CO2 drops below set point for 15 minutes. [23-500 | LAB, SUB]

That last item on CO2 controls is worth noting. It came directly from the sequence of operations section in the mechanical drawings. A manual scope review could easily miss it. The AI flagged it, tagged it to the correct division, and included the performance parameters from the drawing.

The Flags Section: What the AI Could Not Read

This is the part of the output most contractors find surprising.

The tool does not silently skip items it cannot extract cleanly. It flags them. Every gap, every item it could not fully process, and every item requiring human confirmation appears in a dedicated section at the end of the document.

From the demonstration output:

FLAGS AND MISSING INFORMATION

Minimum equipment efficiency numeric values (SEER, EER, IEER) for the replacement rooftop units were not legible as standalone data in the mechanical drawing text layer. Confirm with mechanical engineer of record prior to permit submission.

Project specifications book referenced throughout the drawings was not included in the uploaded file. Confirm all material specifications, testing requirements, and submittal requirements against the full project specification book.

Structural general notes were partially extracted from structural drawings. Confirm full structural scope for cold-formed metal framing gauge, connections, and seismic requirements against the full structural drawing and specification.

That is not a failure in the output. That is the tool doing its job honestly. It tells your estimator exactly where to look before the scope goes to bid. A manual review of the same plan set may have missed those gaps entirely, or caught them later after a subcontractor raised a question mid-bid.

The Energy Code Compliance Table

One feature that surprised the contractors I have shown this to is the automatic generation of an energy code compliance summary. When the mechanical and electrical drawings contain energy code data, the tool pulls it into a structured table.

The demonstration output included compliance entries covering rooftop unit efficiency requirements, variable air volume (VAV) terminal unit controls per the 2009 International Energy Conservation Code (IECC) and ASHRAE 90.1, low-leak fresh air dampers, high-efficiency motors, occupied and unoccupied controls with BAS integration, CO2 demand-controlled ventilation, occupancy sensor controls for classrooms, daylight zone individual controls, and corridor lighting scheduled through the BAS.

That table took the AI less than a minute to produce. For a contractor preparing a permit submission, that is a meaningful time savings.

What This Is Not

I want to be direct about one thing before this post ends.

This output is not a finished estimate. It does not include quantities. It does not include pricing. It does not replace the estimator's judgment on site conditions, subcontractor reliability, or margin strategy.

What it replaces is the blank page.

Your estimator starts with a structured, division-organized, cost-code-tagged scope document instead of spending the first several hours of an estimate just extracting what is in the drawings. The work that actually requires experience, the pricing decisions, the risk calls, the subcontractor selection, stays with your team.

The construction firms making the most progress with AI right now are not the ones who handed everything to a platform. They are the ones who identified one high-pain workflow, built a focused solution, and measured the result. For most general contractors, scope extraction is exactly that workflow.

Frequently Asked Questions

How long did it take to generate this scope document?

For the 14,000-square-foot commercial renovation demonstrated here, the full scope document was generated in under ten minutes. Larger plan sets take longer, but a complex commercial set typically processes in roughly seven minutes. The output still requires your estimator's review before it goes to bid.

Can the tool be trained on my specific cost code structure?

Yes. The demonstration output uses a standard Construction Specifications Institute (CSI) division structure. A custom build maps to your specific cost codes, including parent and child relationships, so the output aligns with your estimate template and accounting software from the start.

What file types does the tool accept?

The tool accepts plan sets uploaded as PDF files. The cleaner the scan quality, the more complete the extraction. Items in heavily compressed or low-resolution files may appear in the flags section for manual review.

Does this work for specialty trade contractors or only general contractors?

Both. A scope of work skill built for a mechanical subcontractor works the same way, filtering to the relevant trade rather than covering all divisions. The tool is built to match your scope of work, not a generic template.

What is the next step if I want to see this on my own plans?

The next step is a 20-minute call. We look at your current estimating process, your cost code structure, and a sample plan set to determine whether a custom build makes sense for your operation. No commitment required.

20-minute Free Consultation

Michael Carmine
Founder & CEO | AIEducationalSolutions.org
About the Author

Michael Carmine, Ed.D., MBA is the Founder and Chief Executive Officer of AI Educational Solutions (AIES), a boutique AI consulting and training firm based in Chapin, South Carolina, serving small and medium businesses across the Midlands and nationally. He holds a doctorate in Curriculum and Instruction with a specialty in Instructional Design and Technology, and has trained over seven hundred professionals across the United States, South Korea, and Qatar. Most AI consultants come from technology. Michael comes from education, and that difference shapes every tool he builds.