Learn how to leverage DataLark’s agentic AI features to simplify and accelerate your SAP S/4HANA data migration.

DataLark Leverages Agentic AI to Elevate S/4HANA Migration

DataLark has always supported a proactive approach to incorporating innovative technologies. For the second year in a row, we’re participating in the SAP Innovation Awards. Last year, we were honored to be selected as finalists — an achievement that inspired us to push the boundaries even further.

To accelerate digital transformation and simplify S/4HANA data migration, we introduced a new agentic AI approach in DataLark. Let’s take a closer look at how it works — and how it helps you reach your migration goals faster and with less effort.

What is Agentic AI?

Agentic AI is an artificial intelligence system that takes actions autonomously to achieve specific goals. Agentic AI systems are designed not only for processing information and making data-driven decisions, but also to act on those decisions, interact with the world, and adapt to its changing conditions.

Key capabilities of Agentic AI:

• Makes decisions based on the environment and input data.
• Learns from outcomes and adapts over time.
• Operates with minimal human supervision.
• Perform actions, ranging from GPS autopiloting (such as delivery robots) to executing tasks in a software environment.

The most prominent examples of agentic AI include autonomous vehicles, software agents that handle end-to-end business processes, and AI in games or simulations where the AI character can interact with the environment and other entities to achieve the goals set.

Agentic AI vs. Generative AI

While both Agentic AI and Generative AI are subsets of artificial intelligence, they serve very different purposes. Generative AI creates content (like text or code) based on input, but it cannot act on its own. Agentic AI, on the other hand, is designed to operate autonomously, making decisions and executing actions with minimal human involvement. This makes it ideal for automating complex, goal-oriented workflows — such as SAP data migration.

The key differences between Agentic AI and Generative AI are summarized in the side-by-side comparison table below.

Why AI Matters in SAP S/4HANA Migration

SAP S/4HANA migration projects require significant time, cost, and resources. Migrating data from heterogeneous legacy systems demands extensive planning, skilled personnel, and significant manual effort to ensure data integrity, compliance, and system compatibility. The key challenges include accelerating data migration, reducing manual workload, and increasing data quality, all while ensuring a seamless transition to SAP S/4HANA with minimal downtime.

Aside from this, many companies lack the expertise to integrate AI-driven automation into ERP migrations, which slows down their digital transformation process and as a result, may leave them behind competitors. All this leads to expensive overprovisioning, business downtime risks, and compliance issues.

How DataLark Leverages Agentic AI

DataLark brings agentic AI to the forefront of SAP S/4HANA migration, transforming the process into a highly automated, intelligent workflow. Built on SAP BTP and integrated with SAP AI Core/AI Foundation, DataLark enables AI-powered orchestration, decision-making, and continuous optimization — reducing manual effort and speeding up every stage of the migration.

What makes it different:

• End-to-end automation: From extraction and transformation to validation and loading, DataLark automates migration flows for both SAP and non-SAP systems.
• Dynamic mapping & validation: AI continuously refines transformation rules and validates data in real time — minimizing rework and errors.
• Built-in intelligence: Self-correcting workflows and anomaly detection reduce reliance on skilled personnel and ensure data quality.
• Seamless SAP integration: The solution works with SAP Migration Cockpit and other standard tools, requiring no extensive custom development.
• Faster, smoother go-lives: With intelligent task sequencing and reduced downtime, businesses transition to SAP S/4HANA with greater speed and confidence.

Agentic AI in Action: Real-World Use Case

As businesses modernize with SAP S/4HANA, seamless data migration becomes a key success factor. While traditional migration approaches require significant manual effort, our customers and implementation teams sought a smarter, more automated way to accelerate the transition while ensuring data accuracy and integrity.

By combining agentic AI and SAP BTP, DataLark allows businesses to redefine their migration experience. DataLark, deployed on SAP BTP, enables AI-driven visual data flows, intelligent mapping, and automated validation, reducing complexity and human effort. SAP AI Core, integrated with external AI providers, enhances data quality, anomaly detection, and self-correcting workflows, ensuring a smooth, error-free migration.

What’s powering the transformation:

• SAP AI Core processes structured and unstructured data, dynamically refining transformation rules with OpenAI-powered (other providers can also be used) processing.
• AI Agents handle automated validation and error resolution, detecting anomalies, self-correcting inconsistencies, and reducing rework.
• Intelligent Workflow Optimization sequences migration steps dynamically, minimizing downtime and ensuring seamless cutovers.

This way, DataLark ensures seamless connectivity between legacy systems and SAP S/4HANA, enabling our customers to achieve faster, more efficient, and cost-effective migrations, and setting a new benchmark for AI-powered SAP transformations.

DataLark’s Agentic AI Benefits

Here are the key business and IT benefits of using agentic AI in DataLark’s data migration workflows.

For Business Teams:

• AI-driven automation reduces manual effort by minimizing human intervention in data mapping, validation, and error resolution.
• Faster data reconciliation with AI-powered validation that detects and corrects discrepancies, significantly reducing time spent on data consistency checks.
• Lower migration costs through reduced manual work, fewer errors, and less rework.

For IT Teams:

• Faster migration through AI-driven automation of repetitive tasks.
• Built-in compliance and anomaly detection using SAP BTP infrastructure.
• Smarter cloud use via intelligent resource optimization.

Bottom Line: AI That Works for You

Digital transformation shouldn’t be a burden — it should be a breakthrough. With agentic AI inside, DataLark shifts the focus from firefighting errors to strategic innovation.

If you’re still weighing your SAP S/4HANA migration options, let this post be your sign: Agentic AI isn’t the future. It’s happening now — with DataLark.