Amazon Web Services has unveiled a fresh set of SAP-focused integrations designed to make cloud migrations faster and give customers more ways to use AI with business data.
The changes span code modernisation, migration automation, private connectivity and live data access for analytics and AI workloads. They are aimed both at companies still moving SAP systems into the cloud and at those already running SAP on AWS.
One of the most notable additions is support for AWS AI...
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coding tools, including Kiro, alongside SAP’s ABAP Model Context Protocol. AWS says this will help developers update legacy SAP code, which often accounts for a substantial share of migration work.
AWS and SAP are also extending automation in the RISE with SAP System Transition Workbench. The company says this is among the first cases in which an SAP migration tool directly coordinates a cloud provider’s native services for file-based data transfer.
Network setup is another focus. SAP Seamless Private Connectivity using AWS Resource Gateway is intended to reduce deployment times from weeks to days by cutting out some of the redesign and workaround work often needed to link existing infrastructure with SAP environments.
The announcement also highlights growing involvement from consulting partners. Accenture has built what AWS describes as an agent-based delivery platform on Amazon Bedrock to automate issue triage, integration mapping and data migration validation.
In another update, SAP Business Data Cloud Connect for Amazon Athena will provide bi-directional, zero-copy access to live SAP data. That should allow companies to use operational information for analytics and AI applications without moving or duplicating datasets.
Customer service tools are also getting closer integration. Amazon Connect Customer will link with SAP Service Cloud and SAP Enterprise Service Management, allowing AI agents to work across customer channels while remaining connected to SAP service systems.
AWS is also bringing Model Context Protocol support to Amazon Bedrock AgentCore, enabling AI agents to connect to SAP ERP systems through SAP Integration Suite and access business data via a protocol-based model.
The broader push reflects a wider shift among large SAP users, many of whom are still moving core finance, supply chain and manufacturing systems off on-premises infrastructure and into public cloud environments. These projects are often slow and complex because they involve code changes, data migration and network redesign at the same time.
AWS says thousands of organisations already run SAP on its cloud, and that more than half have deployed SAP Cloud ERP. It also says ISG has named it 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.
The company also plans to expand availability of more SAP Business Data Cloud, GROW and SAP Business Technology Platform services into additional AWS regions, a move likely to matter most for regulated industries and companies wanting lower latency for local operations.
AWS pointed to early examples in automotive and manufacturing, saying Hyundai is using Amazon Quick with SAP-related operational data, while Mercedes-Benz is applying AI analysis to SAP data in manufacturing and customer experience work.
The company also highlighted its SAP and AWS AI Co-Innovation Program, which involves partners including Accenture, Capgemini, Cognizant and Deloitte in identifying and developing AI use cases for production.
Taken together, the updates show how competition for SAP workloads is widening beyond infrastructure and into migration tooling, data access and AI development. For cloud providers, the prize is not only hosting enterprise systems, but becoming the platform where customers build new automation and applications on top of them.
Source: Noah Wire Services
