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:
- Humans are accountable for every release
- AI decisions must be explainable
- Governance is built in by design
- Customer data is protected and respected
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
- 30–60 min per ticket → under 2 min
- More consistent coverage, including edge cases that manual authoring misses
- QA time shifts from writing boilerplate to reviewing and refining
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
- Failure triage that took an hour happens in minutes
- Developers get actionable summaries instead of raw logs
- Context stays in one place — no need to switch between tools
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
- Test health check goes from 30+ minutes to a 2-minute conversation
- Any team member can get a meaningful answer, not just those who know the dashboards
- Decisions are based on data, not gut feel
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
- Days of test plan authoring compressed into minutes
- Requirements-to-test-case traceability built in from the start
- QA can focus on reviewing and refining rather than authoring from scratch
One AI platform. Every stage of testing.
Explore the True Information Center
Frequently asked questions
Will my data be used to train Katalon’s generative AI models?
- No, Katalon doesn’t share or use your data to train OpenAI or any other model. Everything you type or generate stays private to your workspace and is never stored or reused for training. You can refer to OpenAI’s data usage policies here.
How does Katalon protect my data when I use AI features?
- Katalon adheres to data protection regulations like GDPR and CCPA. We do not store, transfer, or process sensitive data. All data is encrypted in transit (TLS 1.2+) and at rest (AES-256). Third-party AI models (like OpenAI GPT) only see what’s necessary to complete your request.
Where is my data stored?
- Your data lives in secure AWS data centers under network isolation. AI data input is processed through OpenAI’s GPT models. This data is securely transmitted and processed by OpenAI. Katalon does not retain any user data.
What security certifications does Katalon hold?
- Katalon is compliant with SOC 2 Type II, ISO 27001, and is certified CSA STAR Level 1.
How accurate are the AI-generated results?
- AI-generated tests are built on patterns. They’re great for generating tests and speeding up coverage, but we always recommend QAs to review and validate the generated results. The models might miss context or generate code that needs tweaks. Always take control of the AI-generated output. Review, edit, or discard any output based on the requirement. Consider the results a fast first draft, not the final say.
Can I disable AI features if I don’t want to use them?
- Yes. You can toggle AI features on or off anytime. When disabled, everything else in Katalon continues to work normally. Your existing assets and test data remain untouched.
What kind of productivity gains can we expect?
- Teams using Katalon’s AI features typically see up to 60% faster test creation and fewer maintenance headaches. But the real win is your testers spend less time fixing scripts and more time finding real bugs.
Does AI replace my QA team?
- Absolutely not. AI speeds things up, it doesn’t take over. Your testers still design test cases, validate, and make judgment calls. The AI just removes the grunt work so they can focus on test strategy, risk, and coverage.
What if my organization uses a different model? Can I bring my own model?
- No problem. You can use your own organization’s AI key. That means you’re in control of your setup and can switch, upgrade, or pause AI usage anytime.
Where can I learn more about Katalon’s data and security practices?
- Visit our Trust Center. It details how we handle data, security, compliance, and privacy across the platform. We’re transparent about what we do and how we protect you.
Introduction to Katalon True Platform
- Overview of the True Platform
- Understanding the AI Architecture
- Data and Context Layer Explained
- Agentic Layer and Its Functions
- Access Layer and User Interaction
- Demonstration of AI Usage
- Using Katalon AI Assistant
- Conclusion and Further Information