Selling IT managed services company data for AI

Managed service providers spend every day diagnosing problems in other people's systems. Printers that won't print, sync failures, permission errors, slow networks, phishing incidents, migrations that go sideways. Technicians write down what they tried and what worked, ticket after ticket, for years.

That record of real troubleshooting is exactly the kind of data buyers find hard to get. It's also data that sits on top of clients' environments, which makes scoping more delicate than in most industries. This guide explains what MSP data is useful, how to keep client environments protected and how to scope a dataset that holds up.

It's written for MSPs, IT support firms and IT consultancies with 20 to 200 staff.

Why MSP data is valuable

Technician notes are the most valuable part. They capture reasoning that never appears in documentation: "Rebooted, no change. Checked event log, saw 7031. Driver rollback fixed it."

Where client data comes in

Here's the central issue: an MSP's records describe client environments. Usernames, hostnames, IP addresses, domain names, configuration details and sometimes credentials appear throughout tickets and notes. Some of it is confidential client information under your master services agreements.

That means two layers of caution: removing identifiers and making sure nothing reveals a client's security posture.

Example: a 75-person MSP

A composite MSP with about 120 small-business clients scoped its first dataset like this.

An MSP checklist

• Review master services agreements for confidentiality and data-use clauses
• Exclude clients in regulated sectors (healthcare, finance, government) or review their tickets separately
• Run credential and secret scans across every ticket and note
• Tokenize hostnames, domains and IP addresses consistently
• Exclude documentation-platform entries and network diagrams for clients
• Exclude security incident detail in a first delivery
• Exclude screenshots and attachments in a first delivery
• Decide whether to notify clients, with counsel's input

Secret scanning: the step you can't skip

Technicians paste things into tickets: temporary passwords, license keys, Wi-Fi keys, recovery codes. Before any delivery, every record should be scanned for credentials and secrets, and any ticket that contained one should be reviewed by a person. This is the most important single safeguard in an MSP dataset. Our security page describes the full process.

Clients in regulated industries

If you support medical practices, financial firms or government entities, their tickets may involve regulated data or contractual restrictions. The simplest approach is to exclude those clients from a first scope. See selling healthcare data for why healthcare in particular needs extra caution.

What affects the value

• Years of ticket history with real technician notes, not just "resolved"
• Consistent categorization and status history
• Linked records: ticket, time entry, project and runbook referencing each other
• Breadth of environments and problem types

See how AI data pricing works for how buyers weigh these. Estimates are illustrative and no specific price is promised.

Common objections, answered

"Our clients would never allow it." Some won't, and they're excluded. Many MSP agreements don't prohibit de-identified use of service records, but you should read yours and decide client by client.

"Our tickets are full of secrets." That's common, which is why secret scanning and human review are mandatory, and why tickets that contained credentials are reviewed or excluded.

"Our notes are too terse." Some technicians write one line; others write paragraphs. A dataset can focus on clients, queues or technicians with richer notes.

Ticket quality and value

Not every ticket is equally useful. Buyers care most about:

Filtering out low-value auto-generated tickets often improves a dataset rather than shrinking it.

Telling clients

Some MSPs choose to tell clients about the project even when contracts don't require it. A short note explaining that service records are de-identified, that client names, users and systems are removed, and that credentials and security details are excluded usually answers most questions. Clients that object can be excluded.

Who is a good fit

The MSPs with the most valuable datasets tend to:

• Have used the same PSA or ticketing platform for five or more years
• Require technicians to write resolution notes, not just close tickets
• Support a wide range of small-business clients and environments
• Keep internal runbooks and a knowledge base that technicians actually use
• Run projects (migrations, rollouts, office moves) with written plans and post-mortems

Smaller IT shops with fewer than 20 staff can still have useful history, especially if they've kept detailed notes for many years.

How much effort it takes

Most of the work is exporting ticket history from the PSA, exporting internal chat and gathering runbooks. A service manager or PSA administrator can usually do it in a few days. Secret scanning, tokenization of client environments and de-identification are handled for you, and you review a redacted preview before anything goes anywhere. The biggest time commitment on your side is usually the client-by-client review of agreements, which is worth doing carefully.

Related reading

• Selling customer support ticket data: ticket data in general
• Monetizing SOPs and internal documentation: runbooks and knowledge bases
• What de-identified company data looks like: before and after examples

Frequently asked questions

Will this slow down our service desk?

No. Ticket exports come from the PSA's reporting or API tools and don't affect live operations. Technicians don't need to change how they work, and the only staff time involved is the administrator who runs the export.

What about remote session recordings?

They're excluded. Recordings and screenshots show client screens and data that are very hard to de-identify reliably.

Can a co-managed IT arrangement be included?

Possibly, but the client's internal IT team's records may belong to the client. Review those agreements carefully.

How many tickets is enough?

There's no minimum, but tens of thousands of tickets with real notes over several years is a strong dataset for an MSP.

Are monitoring alerts useful data?

On their own, not very. Paired with the technician's response and resolution, they become much more useful.

Should we tell our clients?

Many MSPs do, even when contracts don't require it. Clients who object can be excluded. Ask counsel about your agreements.

Can an MSP license its ticket data for AI training?

Often yes, after de-identification, with client confidentiality reviewed under your agreements. Tickets with technician notes are among the most useful operational data there is.

What about passwords in tickets?

Every ticket is scanned for credentials and secrets, and tickets that contained them are reviewed by a person or excluded. Credentials are never delivered.

Do clients need to approve?

Check your agreements. Many MSPs exclude clients with strict confidentiality terms and notify others. Ask counsel.

Are runbooks valuable?

Yes, especially generic ones paired with tickets that show the runbook being used. Client-specific runbooks are excluded.

Can security incident data be included?

It's excluded by default because it can reveal client security posture. Generalized post-mortems may be possible later.

Which PSA tools can export history?

Most professional services automation and helpdesk tools can export tickets and notes, either directly or through an API.

Getting started

If your team has years of tickets with real notes, an estimate costs nothing. DataOffer handles packaging, credential scanning and de-identification, and shares nothing until you approve. Get an offer. Also see selling customer support ticket data.

This guide is general information, not legal, tax or financial advice. Figures and ranges are illustrative; talk to qualified advisors about your situation.