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AWS deepens SAP ties with new AI & migration tools

AWS deepens SAP ties with new AI & migration tools

Wed, 13th May 2026 (Yesterday)
Sofiah Nichole Salivio
SOFIAH NICHOLE SALIVIO News Editor

AWS has announced new integrations with SAP aimed at speeding up customer migrations to its cloud platform and expanding the use of AI tools with SAP data and systems.

The updates cover software code modernisation, migration orchestration, private network connections, and data access for analytics and AI applications. They are aimed at companies moving SAP workloads to the cloud, as well as those already running SAP systems on AWS.

One of the main additions is support for AWS AI coding assistants, including Kiro, with SAP's ABAP Model Context Protocol. AWS says this will help developers modernise SAP code, which often makes up a large share of migration projects.

AWS and SAP are also adding automated orchestration to the RISE with SAP System Transition Workbench. According to AWS, this is among the first examples of an SAP migration tool directly orchestrating a cloud provider's native services for data transfer in some file-based migration scenarios.

Another update focuses on network connectivity. SAP Seamless Private Connectivity using AWS Resource Gateway is expected to cut network set-up times from weeks to days by reducing the need for redesigns and workarounds when linking existing infrastructure to SAP environments.

Partner role

Consulting groups are also building services around the new approach. Accenture has developed what AWS describes as an agent-driven delivery platform on Amazon Bedrock to automate issue triage, integration mapping, and data migration validation.

The announcement also included SAP Business Data Cloud Connect for Amazon Athena. The product provides bi-directional, zero-copy access to live SAP data, allowing companies to use that information for analytics and AI tools without moving or duplicating datasets.

In customer service, Amazon Connect Customer will be integrated with SAP Service Cloud and SAP Enterprise Service Management. This will let organisations use AI agents across customer channels while linking those tools to SAP service systems.

Another integration brings support for Model Context Protocol on Amazon Bedrock AgentCore. That will let customers connect AI agents to SAP ERP systems through SAP Integration Suite, giving those agents access to SAP business data through a protocol-based connection model.

Cloud push

The latest moves come as large SAP users continue shifting core business applications from on-premises systems to public cloud platforms. These projects are often lengthy because they affect finance, supply chain, manufacturing, and customer operations at the same time, while also requiring code changes, data migration, and network redesign.

AWS says thousands of organisations run SAP on its cloud, and more than half have deployed SAP Cloud ERP. It also says ISG has recognised it as a leader in SAP HANA Infrastructure Services for five consecutive years and that it now offers a 99.95% service level agreement for RISE with SAP workloads.

AWS also plans to make more SAP Business Data Cloud, GROW, and SAP Business Technology Platform services available in additional AWS regions. That matters for customers in regulated sectors and for businesses that want systems closer to local operations to reduce latency.

AI focus

The wider strategy reflects a growing effort by cloud providers to tie AI services to large enterprise software estates. For SAP customers, that typically means using operational and transactional data from ERP and service systems in analytics, automation, and customer support tools once those workloads are running in the cloud.

AWS pointed to early customer examples in automotive and manufacturing. Hyundai is using Amazon Quick with SAP-related operations data, while Mercedes-Benz is using AI-based analysis drawn from SAP data in manufacturing and customer experience work.

AWS also highlighted the SAP and AWS AI Co-Innovation Program, which works with partners including Accenture, Capgemini, Cognizant, and Deloitte to help customers identify AI use cases and move them into production.

The announcements show how competition for SAP workloads is expanding beyond infrastructure into migration services, data access, and AI tooling. For cloud providers, the value lies not only in hosting large enterprise systems but also in becoming the platform where companies build new applications and automation on top of their SAP estates.

AWS says customers can now connect their existing infrastructure to their SAP RISE landscape in days rather than weeks.