How do I roll subcontractor headcounts from daily reports into weekly manpower by trade and compare them with the look-ahead crew plan using AI?
Most jobs already record headcount by subcontractor every day, but it sits in separate daily reports, so the conversation about a trade being short starts from memory instead of numbers. Have Claude or ChatGPT read a week of daily reports into one table of date, subcontractor, trade, area and headcount, then have Copilot in Excel or Gemini in Google Sheets total it by week and trade and set it beside the crew sizes the trades committed to in your three-week look-ahead. The result is a weekly short-crew list you can take to the subcontractor coordination meeting. Whether a shortfall is a delay, and what to do about it, stays with you and the project manager.
Superintendent · Construction · Claude · ChatGPT · Microsoft Excel · Microsoft Copilot · Google Sheets
Content updated · Tool links listed below; vendor features and pricing change, so confirm with the vendor
Short answer
Use Claude or ChatGPT, then Copilot in Excel or Gemini in Google Sheets: Claude or ChatGPT reads a week of daily reports into one headcount table by date, subcontractor, trade and area; Copilot or Gemini totals it by week and compares average daily crew with the crew plan you typed from the look-ahead, flagging short weeks and no-shows. Most jobs already record headcount by subcontractor every day, but it sits in separate daily reports, so the conversation about a trade being short starts from memory instead of numbers. Have Claude or ChatGPT read a week of daily reports into one table of date, subcontractor, trade, area and headcount, then have Copilot in Excel or Gemini in Google Sheets total it by week and trade and set it beside the crew sizes the trades committed to in your three-week look-ahead. The result is a weekly short-crew list you can take to the subcontractor coordination meeting. Whether a shortfall is a delay, and what to do about it, stays with you and the project manager. A person still checks: every headcount against the signed daily reports and sign-in sheets, the plan against what each trade actually committed to, and any delay notice or backcharge decision with the project manager.
AI tie-in
Tool: Claude or ChatGPT, then Copilot in Excel or Gemini in Google Sheets
Claude or ChatGPT reads a week of daily reports into one headcount table by date, subcontractor, trade and area; Copilot or Gemini totals it by week and compares average daily crew with the crew plan you typed from the look-ahead, flagging short weeks and no-shows.
Prompt 1
Read these daily reports [upload PDFs or photos, names removed]. Build a table with one row per subcontractor line: report date, subcontractor, trade, area or activity as written, foremen, workers, total headcount, hours if shown, and the source file and page. Copy numbers exactly as written. Write UNREADABLE for anything you cannot read and NOT SHOWN for anything missing. Do not estimate or fill in headcounts, and do not comment on whether any crew was enough.
Prompt 2
My table Actual has date, subcontractor, trade, area and total headcount. My table Plan has week starting date, subcontractor, area and planned crew size, typed by me from the look-ahead. Settings!B1 is the shortfall margin I accept. Write Excel formulas (or a step-by-step Copilot plan) that add a week-starting column to Actual, compute days on site and average daily headcount by week, subcontractor and area, join that to Plan, and show planned, actual average and difference. Mark SHORT where the actual average is below plan by more than my margin and NO-SHOW where a planned subcontractor has no rows that week. Use only my data and do not invent any crew size.
Human check: Every headcount against the signed daily reports and sign-in sheets, the plan against what each trade actually committed to, and any delay notice or backcharge decision with the project manager.
The problem
Roll subcontractor headcounts from daily reports into weekly manpower by trade and compare them with the look-ahead crew plan using AI. This is a common, time-consuming task for a superintendent.
What this workflow does
Most jobs already record headcount by subcontractor every day, but it sits in separate daily reports, so the conversation about a trade being short starts from memory instead of numbers. Have Claude or ChatGPT read a week of daily reports into one table of date, subcontractor, trade, area and headcount, then have Copilot in Excel or Gemini in Google Sheets total it by week and trade and set it beside the crew sizes the trades committed to in your three-week look-ahead. The result is a weekly short-crew list you can take to the subcontractor coordination meeting. Whether a shortfall is a delay, and what to do about it, stays with you and the project manager.
How it works: AI drafts or analyzes. A person operates the tools, checks the work, and takes action.
Your checkpoint: Every headcount against the signed daily reports and sign-in sheets, the crew plan against what was actually committed, and any delay notice, backcharge or schedule decision with the project manager under the subcontract.
Before you start
- Access to the named tool; confirm license, version and cost with the vendor.
- A small, non-confidential sample to try the workflow on first.
- A qualified person to review the output before it is used.
Tools and access
Follow the steps
- Collect a week of daily reports (PDF exports, typed reports or photos of sign-in sheets). Remove worker names and anything not needed before uploading them to an AI tool.
- Have Claude or ChatGPT build one row per report line: date, subcontractor, trade, area or activity, foremen, workers, total headcount and hours if shown. It should copy numbers exactly and mark UNREADABLE or NOT SHOWN instead of guessing.
- Keep a Plan tab with the crew size each trade committed to by week and area, typed from your look-ahead or the commitments made in the coordination meeting. The plan is yours; the AI does not set it.
- Have Copilot in Excel or Gemini in Google Sheets total actual headcount by week, subcontractor and area, divide by the days worked to get average daily crew, and compare it with the Plan tab. Flag weeks where the average is under plan by more than the margin you type in, and trades that were planned but never showed.
- Spot-check a few totals against the original daily reports before the meeting, then sort the short-crew list by the activities that drive the look-ahead.
- Have the AI draft a short, factual note per subcontractor listing planned versus actual crew by week. Review it, keep it to the numbers, and send it yourself or hand it to the project manager.
Try a small example
Replace the bracketed fields with your own project details. No tested sample run is published for this workflow yet.
Sample input
Fill in the bracketed [fields] in the text below with your project data.
Starter prompt
Read these daily reports [upload PDFs or photos, names removed]. Build a table with one row per subcontractor line: report date, subcontractor, trade, area or activity as written, foremen, workers, total headcount, hours if shown, and the source file and page. Copy numbers exactly as written. Write UNREADABLE for anything you cannot read and NOT SHOWN for anything missing. Do not estimate or fill in headcounts, and do not comment on whether any crew was enough.
Expected output
Not published yet. Treat any output as a draft and check it against the source documents.
Check the result
- Every value, citation or quantity traces back to a source document.
- Missing information is marked as missing, not filled in.
Limits and recovery
- Every headcount against the signed daily reports and sign-in sheets, the crew plan against what was actually committed, and any delay notice, backcharge or schedule decision with the project manager under the subcontract.
- Check your organization’s data policy before sharing project files with third-party tools.
Stop or switch when: The source cannot be verified, permissions are missing, or the result contains unsupported facts.
Frequently asked questions
How does AI help with this?
Claude or ChatGPT, then Copilot in Excel or Gemini in Google Sheets: Claude or ChatGPT reads a week of daily reports into one headcount table by date, subcontractor, trade and area; Copilot or Gemini totals it by week and compares average daily crew with the crew plan you typed from the look-ahead, flagging short weeks and no-shows. A person still checks: Every headcount against the signed daily reports and sign-in sheets, the plan against what each trade actually committed to, and any delay notice or backcharge decision with the project manager.
How do I how do I roll subcontractor headcounts from daily reports into weekly manpower by trade and compare them with the look-ahead crew plan using AI??
Collect a week of daily reports (PDF exports, typed reports or photos of sign-in sheets). Remove worker names and anything not needed before uploading them to an AI tool. Have Claude or ChatGPT build one row per report line: date, subcontractor, trade, area or activity, foremen, workers, total headcount and hours if shown. It should copy numbers exactly and mark UNREADABLE or NOT SHOWN instead of guessing. Keep a Plan tab with the crew size each trade committed to by week and area, typed from your look-ahead or the commitments made in the coordination meeting. The plan is yours; the AI does not set it. The full step list is above.
Does this use an AI agent or regular software?
It is labeled AI assists: AI drafts or analyzes. A person operates the tools, checks the work, and takes action.
What tools do I need?
Claude, ChatGPT, Microsoft Excel, Microsoft Copilot, Google Sheets. Confirm license, version and cost with the vendor, and try it on a small non-confidential sample first.
Has this workflow been tested?
Workflow guide · not independently tested. Written from vendor documentation and practitioner use. Labels apply to the steps described here, not every feature of a product. Links were checked when the page was written.
Evidence and maintenance
Written from vendor documentation and practitioner use. Labels apply to the steps described here, not every feature of a product. Links were checked when the page was written.