SAPPHIRE 2026: How AWS Is Helping SAP Customers Move Faster and Build More

For C-suite leaders running SAP, the question has shifted. It’s no longer whether to move to the cloud – it’s how fast they can get there, and what their organizations can build once they do. The challenge is that SAP transformations are among the most complex programs an enterprise undertakes, touching finance, supply chain, manufacturing, and customer operations simultaneously. And while AI is at the top of every boardroom agenda, most organizations can’t unlock its full potential until their SAP data is in the cloud – where they can actually build something with it.

That’s the opportunity AWS is focused on. Thousands of organizations run SAP on AWS today, and over half have deployed SAP Cloud ERP. AWS has been recognized by ISG as a leader in SAP HANA Infrastructure Services for five consecutive years and now offers a 99.95% SLA for RISE with SAP workloads on AWS.

At SAPPHIRE 2026, we announced new capabilities that make it faster to get to the cloud, easier to unlock value from SAP data with AI, and clearer examples of how customers are already turning that combination into real business results.

Faster, Simpler Migrations

AWS and SAP are expanding their collaboration to make cloud migrations faster, automating critical migration steps by integrating new orchestration capabilities directly into the RISE with SAP System Transition Workbench. This marks one of the first instances that an SAP migration tool will directly orchestrate a cloud provider’s native services for data transfer. By leveraging secure, standardized transfer acceleration, this joint work provides a high-performance automated option for specific file-based migration scenarios, complementing the growing portfolio of existing SAP migration approaches supported by the RISE with SAP System Transition Workbench.

These platform-level advances are already being amplified by partners.  Accenture, for example, built an agent-driven delivery platform on Amazon Bedrock that embeds purpose-built AI agents directly into delivery workflows – automating issue triage, integration mapping, and data migration validation, with early results showing faster issue resolution.

The new SAP Seamless Private Connectivity offering, using AWS Resource Gateway, built on Amazon VPC Lattice completely abstracts the network layer. Customers can now connect their existing infrastructure to their SAP RISE landscape in days, not weeks. This eliminates IP address conflicts, removes the need for network redesigns or complex workarounds, and allows customers to retain full control over their own network design. This enterprise-grade, secure private connectivity model allows SAP to provision customer environments faster, significantly accelerating onboarding and time to value.

At the developer level, code modernization remains one of the largest tasks in a typical SAP migration – and it’s where AI is making some of the most immediate impact. AWS and SAP will enable AWS AI coding assistants, including Kiro, to act as an orchestration layer, leveraging SAP ABAP Model Context Protocol (MCP) tools and skills to perform domain-specific tasks, empowering developers to build and modernize applications faster, using AI within their familiar workflows.

SAP and AWS also plan to make additional SAP Business Data Cloud, GROW, and SAP Business Technology Platform capabilities available in more AWS Regions, giving customers in regulated industries and latency-sensitive operations can run SAP closer to where their business operates.

Putting SAP Data to Work with AI

Migration is the starting point. The real value comes from what customers build next.

AWS offers more than 240 cloud and AI services — including Amazon Bedrock, Amazon Quick, Amazon SageMaker, and Kiro — that enable SAP customers to unlock insights from their enterprise data. At SAPPHIRE, we announced SAP Business Data Cloud Connect for Amazon Athena, a new offering that provides bi-directional, zero-copy integration between SAP Business Data Cloud and Amazon Athena. Teams across the business will be able to build analytics reports, dashboards, and AI agents on live SAP data — without replication delays or IT bottlenecks.

The innovation extends to customer engagement as well. SAP and AWS are also planning to integrate Amazon Connect Customer — part of AWS’s Amazon Connect family of agentic AI solutions — with SAP Service Cloud and SAP Enterprise Service Management (ESM), so organizations can deliver agentic customer experiences across every channel at scale.

And, with support for MCP on Amazon Bedrock AgentCore, customers can connect AI agents to SAP ERP systems through SAP Integration Suite, enabling secure, protocol-driven access to SAP business data. This gives your teams faster access to insights and actions while maintaining enterprise-grade security and observability.

Customers Are Already Seeing Results

Across industries, organizations are leveraging SAP data with AI to drive measurable business outcomes. For example, Hyundai is using Amazon Quick to reimagine how it manages operations across its global business. Mercedes-Benz is transforming manufacturing operations and customer experience through AI-powered insights drawn from SAP data.

These kinds of results are being accelerated through the SAP and AWS AI Co-Innovation Program, announced at SAPPHIRE 2025, which allows enterprises to harness the strengths of SAP and AWS from concept through enterprise-wide deployment via partners including Accenture, Capgemini, Cognizant, and Deloitte to help customers identify high-value use cases and move from concept to production faster.

What Comes Next

The announcements at SAPPHIRE 2026 reflect a simple idea: the cloud is not the destination – it’s the foundation. When mission-critical SAP workloads move to AWS, customers can gain access to the AI services, the partner network, and the infrastructure they need to transform how they operate.

To learn more, or review AWS sessions from SAPPHIRE, click here.