Katalon AI Features | Purpose-Built for Software Quality

AI changes how you build. True Platform changes how you release.

Katalon True Platform is purpose-built with AI agents to handle the heavy lifting while providing humans the governance and trust layer needed to validate the release.

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Katalon's Commitment to Responsible AI

AI is transforming software delivery—but trust must come first.

At Katalon, we build AI that augments human expertise to increase team capacity while preserving accountability. Every AI-driven action in our platform is transparent, traceable, and governed, so teams can move faster without losing control.

We believe:

We’re not just accelerating testing—we’re ensuring software is delivered with confidence, control, and trust. Katalon is the trust and accountability layer for AI-driven software quality.

AI-powered features for supercharged testing

Katalon AI Assistant

Natural-language interface that translates intent into orchestrated, end-to-end workflows.

Requirement Analyzer

Evaluates your requirements, identifies ambiguities, iterates with you for clarification and defines a plan for testing.

Test Case Generator

Generates the minimum set of tests needed to cover a requirement - then prompts you to expand with edge cases, negative scenarios, or automated test if needed.

Autonomous Test Runner

Takes manual test cases written in Natural Language and executes them autonomously with no test automation involved.

Report & Insight Generator

Builds summarized results or custom reports based on Natural Language descriptions you provide.

Bug Reporter

Automatically generates detailed defect reports from test failures and can file to Jira or Azure DevOps with one click.

Root Cause Analyzer

Pinpoints the underlying causes of test execution failures and recommend appropriate fixes.

Production Monitor

Extends quality monitoring into production using real users insights and highlights coverage gaps.

API Generator

Create API tests from OpenAPI or Swagger specs and save time writing test cases for complex endpoints.

Flakiness Detector

Identify flaky tests and debug them early to improve reliability and reduce noise in your CI pipeline.

AI Self Healing

Invokes AI to automatically detect and fix broken element locators during test execution.

Visual Tester

Verify the quality of the product by checking the visual accuracy of every element that users interact with.

USE CASES

Turn a Jira ticket into test cases instantly

Who: QA engineers, SDETs

Problem Writing test cases from requirements is slow and inconsistent. A single Jira or ADO ticket can take 30–60 minutes to translate into structured test cases — and manual coverage often misses edge cases, negative paths, and boundary conditions. Across a sprint, this adds up to days of effort before a single test runs.

How Katalon AI helps Point Katalon AI at any Jira or ADO ticket and it generates structured test cases — including happy paths, edge cases, and negative scenarios — ready for review in under 2 minutes.

Value

Know why tests failed without reading logs

Who: QA engineers, developers

Problem When tests fail, diagnosing the root cause means reading stack traces, cross-referencing logs, checking if the failure is new or recurring, and deciding if it's a flaky test or a real app regression. This can take 30–60 minutes per failure — and the cognitive switch from feature work to log-reading is expensive.

How Katalon AI helps After a run, Kai surfaces a plain-English failure summary, groups similar failures by likely root cause, and distinguishes between flaky tests and app regressions. Follow-up questions work in chat: "Was this failing last week?" or "Is this test flaky across environments?"

Value

Ask questions about test health in plain English

Who: QA leads, engineering managers, release managers

Problem Understanding test health requires navigating multiple dashboards, exporting data, and manually interpreting metrics. Most team members don't know which views to look at or how to correlate trends — so health checks become a reporting exercise rather than a quick decision.

How Katalon AI helps Ask from anywhere: "What's my flakiness trend this sprint?" or "Which test suites are consistently failing on Windows?" Kai pulls from run history, coverage data, and defect logs and gives a direct, structured answer — with platform-level breakdowns and trend comparisons.

Value

Generate a test plan from an uploaded requirements document

Who: QA leads, PMs, BAs

Problem Translating a PRD, BRD, or user story document into a structured test plan is time-consuming and requires QA to read and interpret the entire document before writing a single test case. For large documents, this can take a full day.

How Katalon AI helps Upload a requirements document (PRD, spec, user story export) directly into Kai. It parses the document, extracts testable requirements, and produces a structured test plan with test cases mapped to requirements — ready for review and import into Katalon.

Value

One AI platform. Every stage of testing.

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Frequently asked questions

Will my data be used to train Katalon’s generative AI models?

How does Katalon protect my data when I use AI features?

Where is my data stored?

What security certifications does Katalon hold?

How accurate are the AI-generated results?

Can I disable AI features if I don’t want to use them?

What kind of productivity gains can we expect?

Does AI replace my QA team?

What if my organization uses a different model? Can I bring my own model?

Where can I learn more about Katalon’s data and security practices?

Introduction to Katalon True Platform