SAP and AWS Launch AI Co-Innovation Program to Accelerate Enterprise Transformation

At SAP Sapphire 2025, SAP and Amazon Web Services (AWS) jointly unveiled the AI Co-Innovation Program, a strategic initiative aimed at helping partners and customers develop and scale generative AI applications tailored to ERP workloads. This collaboration builds on the long-standing partnership between the two technology giants, combining AWS’s generative AI services with SAP’s enterprise software and SAP Business Technology Platform (BTP) to enable purpose-built AI solutions for industry-specific challenges.

The program brings together technical experts, professional services consultants, and cloud infrastructure to support customers throughout their AI transformation journey — from ideation to deployment. Industry leaders including accenture and Deloitte are among the early adopters, helping clients leverage the program’s resources to build intelligent applications that can, for example, detect financial anomalies in real-time or optimize supply chains during disruption.

Program Features and Use Cases

Participants in the AI Co-Innovation Program gain access to powerful AI tools and technologies. This includes Amazon Bedrock, which enables the use of cutting-edge large language models like Amazon Nova and Anthropic Claude, as well as SAP BTP, which facilitates seamless integration with existing ERP environments. Together, these technologies enable partners to rapidly build intelligent AI agents tailored to business-critical use cases.

To help deliver successful implementations, the program provides dedicated resources such as solution architecture support, cloud credits, and technical consulting. These assets help organizations reduce the time and risk involved in testing and deploying AI solutions, while accelerating their overall transformation journeys. By offering guidance from both AWS and SAP experts, the program aims to bridge gaps in AI readiness that often hinder enterprise adoption.

Crucially, the AI Co-Innovation Program is designed to deliver targeted solutions to sector-specific challenges. For example, a utilities company participating in the program is building a natural disaster resilience solution aimed at protecting vital infrastructure and maintaining continuity of service during environmental disruptions. In another case, Deloitte is working with healthcare and life sciences clients to develop AI-powered finance tools that improve product forecasting and pricing strategies in volatile markets.

What This Means for SAPinsiders

Bedrock can turbocharge ERP GenAI roadmaps. The availability of pre-integrated services — including Bedrock and SAP BTP —shortens deployment timelines for AI-enabled enterprise applications. Tasks that previously required months of custom development, integration, and validation may now move from pilot to production more quickly. This acceleration is possible because the technical foundations, including model access, security, and SAP data connectivity, are already in place. With structured support from SAP, AWS, and partners, and the inclusion of funding programs to offset early-stage investment, organizations may be able to scale generative AI use cases more confidently and with less risk than before.

GenAI adoption in enterprise apps is accelerating at a market-defining pace. The generative AI market for enterprise applications is expected to grow at a double-digit compound annual growth rate (CAGR) through the end of the decade, reshaping how organizations interact with data and automate decisions. Cloud hyperscalers and enterprise software leaders — including Microsoft, Google, and Oracle — are rapidly expanding their offerings to integrate GenAI with ERP, CRM, and SCM platforms. For SAP professionals, this signals a coming wave of pressure to modernize business processes and interfaces. Expect growing demand for integrated, intelligent workflows that span multiple systems and departments, as well as an increased focus on vendor roadmaps, interoperability, and AI governance.

Integrate cloud-native GenAI with ERP using SAP BTP as the foundation layer. A successful integration strategy begins by identifying a clear business problem that involves high volumes of unstructured or semi-structured data — such as PDF invoices, supplier emails, or customer service transcripts. SAP BTP provides the secure, scalable bridge between these data sources and the generative AI services hosted in Amazon Bedrock or similar environments. Enterprises can leverage large language models (LLMs) for real-time tasks like anomaly detection, demand forecasting, and intelligent triage of support requests. As adoption grows, it is critical to prioritize transparency and control. Focus on model interpretability, robust auditing, and clear human-in-the-loop workflows, particularly for applications in finance, compliance, and other regulated domains.