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In the world of SAP S/4HANA post-migration, ensuring sustained success is critical. As organizations face ongoing updates, multi-site rollouts, and compliance challenges, a strategic approach driven by AI and automation becomes essential for long-term operational excellence.


This webinar-on-demand delves into how cutting-edge tools/approaches such as Agentic AI, Risk-Based Testing (RBT), and Change Impact Analysis can transform your post-migration testing strategy. Gain insights from industry experts on mitigating risks, optimizing resources, and maintaining system integrity to unlock the full potential of your SAP environment.

Webinar-On-Demand: Sustaining SAP S/4HANA Success Post-Migration: The Role of AI and Automation

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FAQs

How can AI and automation enhance ongoing regression testing in SAP post-migration?

AI and automation streamline regression testing by identifying high-impact areas, reducing manual efforts, and accelerating test cycles. AI-driven test automation adapts to system updates, ensuring stability and minimizing disruptions in SAP environments.

What are the best practices for managing SAP monthly releases and their impact on customizations?

Best practices include implementing automated regression testing, maintaining an inventory of customizations, leveraging impact analysis tools, and adopting a risk-based testing approach to minimize disruptions from SAP’s continuous updates.

How can organizations effectively handle additional site rollouts in a multi-site SAP environment?

Organizations should standardize configurations, use automated data validation, ensure proper integration testing, and deploy AI-powered change impact analysis to anticipate and resolve potential inconsistencies across multiple sites.

What strategies can be employed to ensure compliance and localization during SAP enhancements?

Businesses can integrate AI-driven monitoring for real-time compliance tracking, automate audit trails, and implement localized testing frameworks to ensure adherence to country-specific regulations and industry standards.

How does AI-driven change impact analysis assist in identifying potential risks in SAP systems?

AI-powered change impact analysis predicts potential failures by analyzing system dependencies and historical test data. It identifies areas requiring attention before updates are applied, reducing the risk of system-wide disruptions.

What are the key considerations for balancing test coverage and timelines in post-migration SAP projects?

Organizations should prioritize high-risk areas using heatmaps, adopt a phased testing approach, integrate AI-driven automation to reduce manual efforts, and ensure continuous monitoring to maintain optimal performance post-migration.

How can process automation be expanded beyond testing to optimize various SAP modules?

Beyond test automation, businesses can leverage AI and RPA to automate key processes such as finance workflows, order management, supply chain optimization, and customer service, improving efficiency and reducing manual workload.

What role does UiPath’s convergent platform play in integrating test and process automation for SAP?

UiPath’s convergent automation platform unifies test automation and process automation, ensuring end-to-end SAP system reliability. It provides reusable automation assets, real-time monitoring, and AI-driven insights to optimize business operations.

How can organizations leverage heatmaps to prioritize critical areas in SAP post-migration testing?

Heatmaps help identify high-risk transactions, pinpoint frequently used SAP processes, and highlight areas prone to failure, enabling organizations to allocate resources effectively and reduce testing cycles while maintaining quality assurance.

What are the do’s and don’ts for sustaining SAP success through AI and automation post-migration?

Do’s: Implement AI-driven automation, continuously monitor system performance, standardize testing processes, and regularly update automation frameworks.
Don’ts: Ignore change impact analysis, rely solely on manual testing, neglect compliance requirements, or delay testing after updates.

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