01
Work orders & dispatch histories
The core of a field-services operation. Who was dispatched, to what job, with what result. Decisions tied to outcomes.
Typical systems: ServiceTitan, Housecall Pro, FieldEdge, McLeod
What qualifies
What data do AI companies want from businesses?
Not more content. The historical chain from decision to outcome — the estimate that became a job, the ticket that became a resolution, the load that became an invoice. Here is what gets paid for and why.
- Axial Top 251H 2026 & 2025
- 100+ dealsclosed
- 7+ yearsin-trade
- J.D., Columbia LL.M.reviewed by
The thesis
AI companies do not need more content. They need examples of how real work got done.
The qualifying data set is the historical record of how an operating business made decisions and the outcomes those decisions produced. Public text shows what work looks like from the outside. Operating records show what the work actually is — the inputs, the judgment calls, the recovery paths, and the result. Twelve record categories qualify under most engagements, with vendor-term, privacy, and NDA guardrails that the owner\u2019s counsel reviews before anything moves.
For years AI companies trained on scraped public text. That phase is ending. The frontier labs now want the chain that public text does not expose — the estimate that became a job, the ticket that became a resolution, the load that became an invoice, the matter that became a bill. These are decisions and their outcomes, chained in time, in a system of record that was never public.
An operating business has been producing exactly this kind of record for years, as a byproduct of running the business. Nobody set out to generate training data. The data is a side effect of operations — which is precisely why it is valuable.
What qualifies
Ten record categories buyers price for
Each one shows a different layer of the decision-to-outcome chain. The more layers your file exposes, the richer the quote.
02
Estimates, proposals, and quotes
Estimate inputs → final price → win / loss. The decision chain public text does not show.
Typical systems: AccuLynx, JobNimbus, standalone estimate systems
03
Invoices and payment histories
The outcome layer. Which jobs were invoiced, which were paid on time, which were disputed, which went uncollected.
Typical systems: QuickBooks, NetSuite, Sage
04
CRM / customer interaction records
The relationship layer. Call logs, email threads, follow-ups, cadence. How a lead became a customer.
Typical systems: HubSpot, Salesforce, custom CRMs
05
Service / support tickets
Problem → diagnosis → resolution → verification. The feedback loop that trains better future decisions.
Typical systems: Zendesk, Freshdesk, in-platform ticketing
06
SOPs and process documents
How the company says work should be done. Pairs with the records showing how it actually got done.
Typical systems: Google Workspace, Notion, SharePoint
07
Technician / field notes
The judgment layer. Technicians writing down what they saw, what they decided, what they recommended.
Typical systems: FSM free-text fields, inspection apps
08
Project history
Multi-step engagements with phase gates, milestones, change orders, and completion metrics.
Typical systems: Procore, Buildertrend, project management tools
09
Quality-control records
Inspections, re-work logs, warranty callbacks. The signal of what went wrong and what was fixed.
Typical systems: Internal QC spreadsheets, inspection platforms
10
Pricing history
How prices moved by region, season, customer type, job complexity. Pricing is a decision; its outcome is retention.
Typical systems: ERP pricing modules, custom pricing tools
Guardrails
What stays out of the file
Your counsel reviews the categories before anything moves. These never leave the owner’s systems, regardless of what a buyer may ask for.
- Customer card numbers & bank details
- Government IDs, I-9s, medical notes
- Records under a customer or vendor NDA
- Email or chat with lawyers (privilege)
- Trade secrets you would not want in a model
- Third-party licensed content you did not create
The full guardrails list lives on the service page. Ten categories, each counsel-reviewed.
See what you have
Which of these do your systems already produce?
20-minute metadata read. No files, no logins. Written yes or no in one business day.
Qualifying FAQ
Questions owners ask about what qualifies
- Public text shows what work looks like from the outside — a blog post describing a plumbing repair, a product page describing an HVAC unit, a manual describing a procedure. Operating records show what the work actually was: who made what call, what they tried first, what went wrong, what they did to recover, what the outcome was. AI companies are no longer trying to generate better descriptions of work; they are trying to model the decisions inside the work.
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Service page
Request the evaluation form. 20-minute spreadsheet.
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Main Street Wealth LLC is an M&A advisor. We are not a buyer of your data, and we do not take a license of your data. We are not a data broker. We do not provide legal, tax, or privacy advice; your counsel reviews the advisory agreement and any license before signing. Nothing on this page is a recommendation to license, sell, or disclose any specific record.