AI agents in Katalon True Platform help you take control of your testing.

A centralized system for planning, test cases, executions, and results so teams have a single source of truth for QA. It combines test planning, run orchestration, reporting, and role-based controls so teams can plan, execute, and measure quality from one place.

The Platform analyzes requirements, run history, and telemetry to reveal coverage gaps and recommend the highest-value tests for a change. It produces release-readiness indicators (risk dashboards, pass rates, and top-risk tests) so teams know where to focus effort and whether a build is safe to promote.

The Platform applies AI through specialized agents that turn requirements, tests, and run telemetry into prioritized, actionable work — generating tests, choosing the right tests to run, stabilizing execution, automating triage, and producing clear release-readiness signals. Hence, teams spend less time investigating and more time fixing the right problems.

How the agents help:

• Requirement Review Agent: Checks requirement completeness, flags gaps and asks clarifying questions to ensure testable requirements.
• Test Case Generation Agent: Turns requirements into complete test cases, saving 90% of design time.
• Autonomous Test Runner Agent: Runs manual tests end-to-end and records evidence/results, delivering 10x faster execution.
• Bug Reporter Agent: Turns test failures into complete bug reports and submits to Jira/Azure DevOps with a click.
• Reporting & Root Cause Analysis Agent: Conversational AI that lets QA leads and release managers assess release readiness via natural-language, identify issues and recommend fixes.

Outcome: faster triage, fewer false alerts, prioritized remediation work, and clearer go/no-go signals for releases — all under team policies so AI actions remain auditable and controllable.

Yes. Dashboards surface trends, anomalies, and risks across projects and releases. AI-enhanced reports turn execution data into actionable views—top-risk tests, regressions, stability trends, and readiness metrics—so QA and leadership can understand project health at a glance.

Yes. The Platform supports scheduling and orchestrating runs across environments, pipelines, and tools. Whether you trigger runs from CI, schedule suites, or use agent-based orchestration, results are aggregated into a single reporting layer so teams can manage execution at scale and review outcomes centrally.

Yes. You can define, track, and reuse environments and execution profiles so tests run consistently across teams. Environment metadata and configuration matrices make it easier to reproduce environment-specific failures and ensure repeatable, auditable runs.

The Platform scales QA by consolidating assets, automating reporting, and applying AI to planning and analysis. Shared libraries, role-based access, and organization-level dashboards reduce duplicated effort; onboarding tools, templates, and non-Git imports speed team ramp-up so you can increase coverage and cadence without linear headcount growth.

We offer trials and tiered plans for teams and enterprises. Enterprise plans include onboarding, SLAs, and professional services for large-scale adoption. For precise pricing, support levels, or migration programs, contact sales or request a demo.

Choose the model that fits your compliance and operational needs: fully managed cloud for fast scale and low ops; self-hosted/on-premises for strict control and data residency; or hybrid combinations that keep sensitive assets local while using managed services for scale. Execution and management can be split to meet operational and compliance goals.

The Platform provides enterprise governance features—SSO, role-based access control, tenant isolation, immutable audit logs, and admin APIs—along with configurable retention and explicit sync controls so teams retain ownership of their projects and artifacts. These controls, combined with deployment choices, help organizations meet internal security and compliance requirements.