Test management with AI at the core

A platform for QA teams: test cases, test plans and runs, reviews, CI integrations and quality analytics.

21 days of full Pro access. No card required.

Creating a test case in CommIT TMS: title, description, suite, severity, priority and type

What CommIT TMS does

Seven modules covering the path from requirement to report.

Explore the product
  • Write cases

    Write cases

    Suites, steps, preconditions, priorities, tags. Bulk edit and copy across projects.

  • Generate with AI

    Paste a ticket or a slice of the spec and get cases with steps and expected results.

  • Review before use

    Approve cases before the team runs them. Comments, statuses, full change history.

  • Build test plans

    Group cases by release, feature or priority, then reuse the plan next sprint.

  • Split the work

    Assign owners inside a run and watch the load across the team.

  • Execute runs

    Execute runs

    Statuses, comments, attachments, timings. See what broke and who owns it.

  • Read the numbers

    Read the numbers

    Run progress, pass rate, trends across releases, contribution per tester.

AI writes the draft. You keep the call.

No magic: you paste the description, you get structured cases, you edit and save.

Paste the description
Review and adjust
  1. Paste the description

    A ticket, a user story or a chunk of the spec. Up to 10,000 characters per run.

  2. Hit Generate

    Seconds later you have cases with preconditions, steps and expected results.

  3. Review and adjust

    Tighten the wording, add the negative paths, drop what you don't need.

  4. Save to the repository

    Cases land in the right suite, ready to run.

When it saves you

  • Smoke-testing a new feature
  • The release is in two days
  • One QA for the whole team

Your descriptions are never used to train public models. Self-hosted deployments run the AI layer inside your own infrastructure.

TestRail-grade. Without the TestRail invoice.

Straight talk: mature tools have more integrations. We have AI in the box, a price you can read on this page, and a build you can run on your own servers.

Same application either way: hosted by us, or running inside your own network.

TestRail-grade. Without the TestRail invoice.
CapabilityCommIT TMSTestRailZephyrXrayTestLinkEasyQATestLodge
AI case generationYesPartialNo dataPartialNoNo dataNo data
Review before executionYesNo dataPartialPartialNoNo dataNo data
Self-hosted optionYesYesYesYesYesNo dataNo data
Public pricingYesYesYesYesYesYesYes
Import from TestRail / Zephyr / XrayYesPartialPartialPartialPartialNo dataPartial
Support in your timezoneYesNoNoNoNoNoNo

Competitor data taken from their public pricing and docs as of 09/01/2026. Spotted something wrong? Tell us and we'll fix it.

The short answers

A test management system for QA teams: a case repository, test plans and runs, case review, results tracking and quality analytics, plus AI that drafts cases from a ticket description.

Because spreadsheets stop scaling around case number 300. A TMS keeps cases in one place, records every run, and answers "where are we on testing?" without a meeting.

You paste a feature description, a user story or up to 10,000 characters of spec. You get back cases with preconditions, steps and expected results. You edit and approve: the human always decides.

No. Your input is never used to train public models. In self-hosted deployments the AI layer runs inside your own network and makes no outbound calls.

Lite is free for up to 5 active users. Pro starts at a flat per-seat price that drops from 10 seats onward, with 15% off when billed yearly. The calculator above gives you the exact number. On-Premise is quoted directly.

Yes. We import CSV/Excel and the standard exports from those tools, and we help map fields on day one. A few thousand cases usually move in a day.

AI generation built into the editor, pricing published on this page, and a self-hosted build you fully control, including the AI part.

Yes. The self-hosted build ships as a Docker image with PostgreSQL and works air-gapped, AI included.

Docker image, PostgreSQL, and authentication wired into your LDAP or SSO via Keycloak. Setup docs and hands-on support come with the plan.

Access is scoped per project, per role and per action: tester, reviewer, lead, viewer. Organizations are isolated at the data layer.

Yes. There's a live sandbox that behaves exactly like production, no signup needed. Want a walkthrough on your own process? Book a call.

Run your first suite today

Create a project, generate the cases, execute the run. No card, no three-month rollout.

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