Sonja Li茅nard, Author at 麻豆原创 News Center Company & Customer Stories | 麻豆原创 Room Tue, 27 Oct 2026 17:52:21 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.4 麻豆原创 Brings Migration and Modernization Assistants to Customers鈥� Cloud ERP Transformations /2026/10/migration-and-modernization-assistants-sap-customer-cloud-erp-transformations/ Wed, 28 Oct 2026 11:00:00 +0000 /?p=249113 To help customers accelerate their move to cloud ERP, 麻豆原创 is bringing to life its migration and modernization assistants for transformation projects.

Accelerate your most complex, time-intensive transformation activities

Supporting key workstreams, including data management, test management, custom code modernization, and business configuration, these assistants help organizations simplify transformation activities, accelerate project execution, improve decision-making, and increase readiness for cloud ERP adoption.

ERP transformation has become a business imperative for many organizations. Cloud modernization connects organizations to AI, automation, and analytics capabilities that legacy on-premises infrastructure could not support at scale. However, transformation programs can be complex, involving numerous stakeholders and requiring thousands of business and technical decisions.

This year at 麻豆原创 Sapphire, 麻豆原创 introduced new agent-led transformation tooling and outlined how migration and modernization assistants can reduce ERP migration efforts.

Today, four of these assistants are available to early adopter customers and are already supporting live cloud ERP transformation projects.

Migration and modernization assistants go live in customer transformation projects

ERP transformation projects require organizations to assess large volumes of business data, understand quality issues, evaluate migration implications, and prioritize remediation efforts across complex landscapes. The Data Management Assistant analyzes data quality metrics, identifies and prioritizes issues based on business impact, recommends remediation actions, and helps execute corrections through both automated and guided remediation approaches.

AkzoNobel, a global leader in paints and coatings, is currently on a RISE with 麻豆原创 journey, consolidating its ERP landscape as part of a large-scale transformation. Participating in the 麻豆原创 Early Adopter Care program, the company uses the Data Management Assistant to define data quality scope, evaluate issues across the landscape, and prioritize remediation efforts based on business impact. The assistant gives a structured, end-to-end approach to orchestrating workstreams and managing data quality throughout the company’s ongoing transformation.

“The Data Management Assistant gave us clear visibility into our most business-critical data quality issues and helped us prioritize remediation where it matters most,” said Thilak Selvam, Master Data Program Lead at AkzoNobel. “It reduced analysis effort, accelerated our planning, and provided a structured approach to maintaining data hygiene and quality controls as we prepare for future transformation initiatives.”

Defining test scope, preparing test cases, validating business processes, and ensuring representative data is available often requires substantial effort from both business and IT teams. The Test Management Assistant accelerates test preparation and improves testing effectiveness. By analyzing business processes, requirements, and user stories, it helps define test scope, identify critical business scenarios, generate test cases, and determine the test data needed to execute them.

Test cases are handed off to 麻豆原创 Test Automation by Tricentis for automated execution, enabling continuous validation at scale. The result is less manual effort, improved coverage of business-critical processes, and greater confidence in deployment readiness.

The Custom Code Assistant helps organizations modernize their custom developments as part of the transition to 麻豆原创 Cloud ERP Private and continues to support clean core compliance and cloud-ready transformation beyond initial migration.

It supports teams in assessing custom code, identifying migration and remediation opportunities, aligning extensions with clean core principles and 麻豆原创-recommended APIs, and adapting legacy applications for cloud-ready architectures. Acting autonomously, it classifies findings by complexity, applies available automated fixes, and generates AI-driven recommendations and code corrections for the remaining findings. The assistant helps customers determine where to adopt 麻豆原创 standard processes and where custom extensions provide genuine business differentiation. This reduces technical debt, accelerates cloud adoption, and enables organizations to preserve the capabilities that set their business apart while taking full advantage of 麻豆原创 innovation.

For customers adopting 麻豆原创 Cloud ERP, the Business Configuration Assistant supports organizations in accelerating business design and implementation planning. It recommends and autonomously applies configurations tailored to the customer’s industry, segment, and business goals, supporting teams in defining scope, setting up organizational structures, and translating requirements into implementation-ready configurations. It also extracts source configurations, flags deviations from 麻豆原创 target requirements, and maintains a full audit trail鈥攔educing manual effort, improving consistency, and accelerating the path to a production-ready 麻豆原创 Cloud ERP system.

Expanding across the full transformation life cycle

麻豆原创 plans to further expand the migration and modernization assistant portfolio across the transformation life cycle. Planned innovations include the System Analysis Assistant, which creates a customer-specific understanding of existing systems, configurations, and custom developments, providing the foundation for AI-supported guidance throughout the transformation journey and the basis for all other assistants, grounded in customer-specific system data.

In addition, the Project Management Assistant is planned to provide real-time project insights, proactively identify risks, and help orchestrate transformation activities across teams and stakeholders.

The portfolio will also be extended with the Rollout Assistant, which helps organizations align global templates with regional requirements, accelerating local rollouts while reducing effort for business and IT teams through AI-driven guidance.

Together with the Data Management, Test Management, Custom Code, and Business Configuration Assistants available today, these capabilities will offer customers a fully integrated, agent-led transformation experience that helps organizations simplify complexity, accelerate execution, and realize value from 麻豆原创 Cloud ERP faster.

As 麻豆原创 continues to expand its migration and modernization assistant portfolio, organizations will increasingly benefit from AI support across every phase of ERP transformation, from initial system assessment and project planning through implementation, go-live, and beyond.

Learn more at .

麻豆原创 Learning session: Reimagining migration and modernization with agent-led AI assistants

Maura Hameroff is chief marketing officer for 麻豆原创 Cloud ERP Private and RISE with 麻豆原创.
Sonja Li茅nard is head of ABAP Platform at 麻豆原创 SE.
Soeren Ruder is chief product officer and global head of Customer Experience & Solutions for 麻豆原创 SE.

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How Joule for Developers and ABAP AI Capabilities Transform the Developer Experience /2025/07/joule-abap-transform-developer-experience/ Wed, 09 Jul 2025 11:15:00 +0000 /?p=235482 In February 2025, 麻豆原创 introduced Joule for developers and ABAP AI capabilities, ushering in a new era for ABAP development. This powerful integration of generative AI into the development environment is helping to revolutionize how developers interact with 麻豆原创 systems. Designed to enable smarter, faster, and more intuitive coding, these tools help developers elevate both productivity and innovation.

Joule for developers leverages a purpose-built large language model (LLM) trained on millions of lines of 麻豆原创 code. It can deliver contextual, ABAP-specific results that support tasks ranging from intelligent code suggestions to automated unit test creation. As customers continue their 麻豆原创 S/4HANA transformations, these AI features can also support optimized code migration through smart analysis, explanations, and actionable suggestions. The result: AI becomes a collaborative partner that helps developers tackle complex challenges with confidence and efficiency.

outlines how AI is transforming modern development. One key finding: 80% of developers reported increased productivity when using AI coding assistants, with an average productivity gain of 35%. The top-used features include unit test generation, code generation, and autocompletion鈥攃lear signs that AI is now a central pillar of the development experience.

To succeed in this evolving landscape, developers must cultivate new skills. These include writing precise natural language prompts, verifying AI-generated code, integrating proprietary data for improved AI context, and using AI to enhance requirements documentation. These capabilities ensure AI remains an intelligent collaborator that upholds enterprise-grade standards.

麻豆原创 Build solutions and ABAP Cloud can further empower developers by enabling automation, improved security, and scalable collaboration鈥攁ll while supporting a clean core strategy. These tools reflect 麻豆原创鈥檚 commitment to intelligent extensibility that balances innovation with system integrity.

AI is no longer just a futuristic concept鈥攊t鈥檚 a vital asset shaping every phase of the software development life cycle. Developers are evolving from code writers to orchestrators of intelligent systems that learn, adapt, and co-create. Joule for developers and ABAP AI capabilities illustrate how 麻豆原创 is leading this evolution by providing tools that are aligned with enterprise development needs and future-ready innovation.

To learn more, explore


Sonja Lienard is senior vice president at 麻豆原创 and head of BTP ABAP.

Unlock new levels of productivity and proficiency with AI-assisted tooling聽
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