// Industries · IT and software companies

Every pull request is a decision, reviewed in writing.

Software teams write down how they work: tickets, specs, code review threads, incident reviews, and the chat in between. Years of that history, linked across Jira, GitHub and Slack, is the kind of trail AI developers review. We help you see whether yours is ready.

The systems your team already writes in

Nothing new to install. What counts is years of work on the same systems, connected across them.

Systems it and software companies commonly run: Jira, GitHub, GitLab, Linear, Confluence, Slack, Zendesk, Google Workspace or Microsoft 365.

// Your written record

Years of connected work

8 systems, one trail

What's in, and what stays out

Typically licensable

  • Pull requests with review comments
  • Tickets, specs and design docs
  • Incident reviews and runbooks
  • Internal chat about how work gets done

Stays out

  • Customer data and production records
  • Credentials, keys and secrets
  • Client-owned or licensed third-party code
  • Code written by AI tools

Who counts toward the 30

Count engineers, product managers, designers, support and operations staff who work in your tools daily.

Questions owners ask

Is our code part of this?
It can be, when you own it outright and it has a real review history. Client-owned and licensed third-party code stays out. Code repositories also have a program of their own on the other programs page.
Our tickets mention customers.
Customer data stays out; that's agreed in writing before anything moves. What's evaluated is how your team works.
We moved from GitLab to GitHub.
Only years on the current system count, unless the history came across intact. Tell us both on the form, with the years on each.

Book your data consultation

Tell us about your company. A data specialist calls you by the next business day. Nothing you tell us commits you to anything.

Book your data consultation