Are change orders and RFIs valuable to AI labs?

Yes, change orders and RFIs can be valuable to AI labs when they capture the complete reasoning and outcome of a work request. The data only matters if it shows the request, the discussion that led to a decision, and the final result.

What AI labs need from operational data

AI labs train models and build reinforcement-learning environments from real-world business workflows. They look for more than a list of numbers; they need a narrative that links an input to an output. Data that attracts a buyer typically includes:

• Support tickets that contain the problem description, the steps taken, and the final resolution.
• Chat threads where a decision was reached, together with the arguments that were made.
• CRM activity that records the path from lead to closed deal.
• SOPs, internal documentation, and knowledge-base articles that explain why a team acted a certain way.
• Project histories, accounting exports, and work-order records that capture the full life cycle of a task.

Change orders and RFIs fit naturally into this picture because they are work-order records that capture a request, an assessment, an approved change, and the financial impact. When the files also contain the justification, the back-and-forth with the client, and the final cost adjustment, they become high-value operational data.

Why change orders and RFIs matter

A change order is a formal amendment to a contract that records what was altered, why it was altered, and how price or schedule shifted. An RFI is a question raised during a project that prompts clarification before work proceeds. Both documents contain three essential elements: the original contract terms or project specifications (context), the emails, notes, or chat messages that show who discussed the change and what arguments were made (decision chain), and the approved amendment together with the revised budget and final work-completion status (outcome). With that chain, a lab can create training material that predicts the impact of a change, suggests optimal revisions, or even drafts future RFIs automatically. The cleaner and more complete the chain, the more useful the data.

Not sure your company is a fit? Take the free check

What drives price

Pricing is not uniform. Larger companies tend to generate more records, which gives a richer dataset, and a multi-year history on the same tools simplifies field alignment. Explicit notes, approvals, and documented rationale add value because they provide clear reasoning. A niche industry that few labs have accessed can command a premium, and clean rights, clear ownership and the ability to de-identify the data without legal hurdles, make the offer higher. In short, volume, depth of history, clarity of reasoning, industry rarity, and clean rights are the main levers that raise valuation.

Checking your data's fit

The quickest way to find out whether your change-order and RFI records are a fit is to run our free eligibility check. You answer a few basic questions about company size, the systems you use, and the type of records you hold. No data leaves your environment at this stage. We turn your answers into a one-page summary and share it with several interested AI labs. The labs return quotes and conditions that match your preferences, and you decide whether to move forward.

You can start the check on the sell page, where the qualification criteria are listed. If you want more detail on why change orders matter, see our guide on change orders and RFIs. Should you need help preparing the files for a buyer, our separate de-identification service explains how we remove personal identifiers and apply stable pseudonyms, see de-identification.

A quick hypothetical

Say you run a 70-person construction-management firm that has used the same project-management platform for six years. Your system stores every change order, the associated RFI, the email thread that approved it, and the final cost adjustment. You also keep a log of the engineer's notes that explain why the change was necessary. In this scenario the dataset includes a clear decision chain (emails, notes, approvals), you have a multi-year history on a single tool, and large-scale construction is less common in AI training sets, adding rarity value. Running the free check would likely place you in the typical deal range of $200,000 to $300,000 USD, though the final figure depends on exact volume and the buyer's needs.

Your next step

If you think your change orders and RFIs contain the reasoning and outcome data described above, use the button below to start the eligibility questionnaire. We will walk you through the brief intake, protect your data until you give the green light, and bring you offers from vetted AI labs.