Panaya review
A broad AI testing platform for complex SAP and business-process programs.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Panaya is a cloud platform for enterprise cross-application testing and change impact analysis. It is designed for IT, QA, testing, and business teams working across SAP, Oracle, Salesforce, ServiceNow, Workday, and related enterprise systems. Its AI can generate tests from requirements, features, workstreams, prompts, and BPMN files, while risk-based scoping helps teams prioritize tests using change impact analysis. The platform also supports guided user acceptance testing, result capture, issue routing, and audit-ready evidence.
The main strength is breadth across the testing lifecycle. Panaya combines natural-language codeless test automation with self-healing automation for UI changes, reusable components, centralized execution orchestration, execution analytics, and failure investigation. It also provides closed-loop defect management with AI duplicate detection, approvals, recordings, and traceability. Integrations include Jira, SAP Solution Manager ChaRM, and REST APIs, with Postman-based API integration and direct REST API access. This makes it a fit for organizations coordinating testing across several enterprise applications rather than a narrow test-generation tool.
Pricing is handled through a sales conversation, so teams should evaluate the platform against their application landscape, governance requirements, and testing processes before choosing it. Panaya is well suited to enterprise programs that need requirements traceability, UAT controls, risk-based planning, and codeless automation in one environment. Teams should also plan review and validation of AI-generated output, as recommended in Panaya's documentation. Organizations seeking a focused, lightweight generator for a smaller application scope may prefer a narrower alternative.
Panaya pros and cons
- Where it wins
- Generates tests from requirements, prompts, workstreams, and BPMN files
- Risk-based scoping uses change impact analysis to focus testing effort
- Combines codeless automation, traceability, UAT, and defect management
- Where it doesn't
- Pricing requires a sales conversation
- AI-generated output requires review and validation
- Its broad enterprise scope may exceed smaller testing teams' needs
Panaya fact sheet, pricing and score →
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