Panaya’s Seemore agentic AI layer provides autonomous testing capabilities while addressing mounting pressure on enterprise teams managing continuous SAP S/4HANA, Oracle and Salesforce updates. Seemore layers specialized AI agents atop Panaya’s existing test automation, impact analysis, and test management tools, promising to analyze risk, create codeless tests from natural language prompts, self-heal test scripts autonomously, and fix code defects before production. The system draws on 20 years of SAP, Oracle and Salesforce domain expertise accumulated across more than 3,500 global enterprise deployments since 2006.
How Autonomous Testing Changes Daily Work
For IT teams struggling to keep pace with quarterly S/4HANA release cycles and mounting technical debt, autonomous testing platforms promise to shift time away from manual test script maintenance toward validation and oversight.
The shift mirrors broader trends documented throughout 2025, when 82% of companies increased technology budgets to build AI-ready ERP capabilities as competitive pressure tied directly to intelligent automation. As a result, the automation testing market is projected to grow from $41 billion in 2025 to $169 billion by 2034, expanding at a CAGR of 16.9%.
ERP testing services were valued at $4.1 billion in 2024 and are projected to reach $8 billion in the near term, driven by digital transformation initiatives and the adoption of AI-enabled testing solutions.
What This Means for ERP Insiders
Autonomous testing signals a fundamental rebalancing of risk ownership in ERP transformation programs. When AI agents prioritize test cases, self-heal scripts, and fix code defects before production, accountability shifts from human testers executing predefined plans to overseers validating automated judgments. For GSIs and enterprise architects managing S/4HANA programs, vendor evaluations must now assess not just automation coverage but explainability, escalation logic, and how testing platforms handle edge cases where autonomous decisions conflict with business intent.
There’s a developing strategic alignment between ERP vendors and providers. As SAP, Oracle, and Salesforce accelerate release cycles and embed agentic AI into core workflows, testing bottlenecks increasingly determine program velocity and post-deployment stability. Panaya’s 20-year accumulation of ERP domain context positions it to interpret system-level dependencies that generic testing tools miss, creating opportunities for tighter integration between testing platforms and ERP change management tools.
Testing platform maturity now directly correlates with cloud ERP readiness and modernization timelines. The 40% of S/4HANA outages traced to inadequate testing in 2025 underscore that organizations treating autonomous testing as a technical upgrade rather than an operational shift faced deployment delays and costly rework. For transformation leaders, autonomous testing adoption is less about tool selection and more about whether data governance, process standardization, and cross-functional accountability structures exist to support AI-driven decision-making at scale.
