Data category

Customer Support & CRM Data

Support tickets with resolutions, won/lost CRM reasons, incident postmortems and code-review threads.

Evaluate Your Data Request this type of data

Customer support data for AI is a set of resolved cases: the problem in the customer's words, the steps the agent took and the confirmed fix. Call center data and CRM won and lost reasons add more outcomes. AI teams use them to build and test support agents and copilots. DataNexx considers only scoped, de-identified case sets, never bulk inbox, chat or ticketing exports.

Why it matters for AI

Recorded, judged, resolved.

A resolved ticket is a worked example: a problem described in the customer's words, the steps taken and a confirmed fix. Customer names, contact details and credentials are removed, and only records the company is entitled to license are considered.

Typical data

Support tickets & resolutions
Satisfaction scores
CRM won/lost reasons
Incident reports & postmortems
Issues linked to code changes
Code-review comments
Project plans vs delivery
Decision summaries

Representative workflow

Illustrative

01Customer issue
02Ticket
03Triage
04Investigation
05Resolution or fix
06Customer confirmation
07Satisfaction score

Who typically holds it

Software and SaaS companies
Customer-support operations
Sales teams with long CRM histories
IT service providers

Potential AI applications

Support agents and copilots
Coding and code-review assistants
Sales forecasting
Agent evaluation on resolved tickets

Guide

Which systems hold customer support data?

A ticketing or help-desk system holds cases, replies, tags and resolutions. Contact center platforms hold call notes, dispositions and quality scores. The CRM holds accounts, deals and won or lost reasons. Engineering tools hold bugs linked to customer issues.

A resolved ticket is the core unit. It is a worked example with a clear start, the steps taken and a confirmed result.

Tickets with resolution steps and satisfaction scores
Call center notes with the call outcome
CRM deals with won or lost reasons
Incident postmortems linked to customer impact

What do AI teams build with customer support data?

Teams train support agents and copilots on how real cases were solved. They build evaluation sets from resolved tickets, so they can check whether an agent reaches the same fix. Sales teams use CRM outcomes to train forecasting models.

Escalations are especially useful. They show where a first answer failed and what a senior agent did next.

How is customer personal data handled in support and CRM records?

Support and CRM records are full of personal data: names, emails, phone numbers, addresses, account details and sometimes passwords or card numbers pasted into a chat. All of these are removed, and free text is de-identified before anything leaves your control.

Scope matters as much as cleaning. Only a defined set of workflow records is considered, such as one product's resolved tickets for a period. Bulk exports of a mailbox, chat history or whole ticketing system are never accepted. Each set needs written authorization from someone entitled to license it, and your privacy review decides what is in scope.

How does a support team prepare a first description?

A short description is enough to start. No tickets are shared.

Products and channels covered: email, chat, phone
Which systems hold tickets, calls and CRM records
Whether resolutions and satisfaction are recorded
Who in your company can authorize a scoped, de-identified set

Example record (illustrative)

Illustrative record: a fictional, de-identified support ticket. Not a real customer.
Field	What it holds
Product area	Billing, subscription software
Customer issue	Charged twice after changing plan mid-month
Agent steps	Checked invoices, found a proration bug, raised a refund
Escalation	Linked to an engineering bug report, later fixed
Resolution	Refund confirmed by the customer; satisfaction score high
Redactions	Names, emails, account and card details removed

Frequently asked questions

Do you accept a full export of our help desk?

No. Only scoped, de-identified sets of workflow records are considered. Bulk inbox, chat or ticketing exports are never accepted.

What makes support data useful for AI agents?

Resolved outcomes. A ticket with the steps taken and a confirmed fix shows an agent what good work looks like.

Is call center data included?

Call notes and outcomes can be, in de-identified form. Call recordings need extra review because voices identify people.

Who must authorize the licence?

Someone entitled to license the records for the company, in writing, after your privacy review.

Is there a fee for the company?

No. There is no fee to the data owner. Compensation comes from the licence with the AI company.

How quickly do you reply?

We reply within 24 hours. The first step is a short description of your systems and case types.

Trust & compliance

Data licensing without losing control.

Your data stays yours until you decide otherwise. We assess before anything is shared, and we treat rights and privacy as conditions of a transaction — not afterthoughts.