Partnership opens new pathways for enterprise data migration with SAP AI-supported tooling complemented by Palantir’s AIP for data migration scenarios to simplify an expedite digital transformation for SAP customers, with Accenture as a co-innovation partner for joint customers

This year at SAP Sapphire, SAP and Palantir announced an expansion of their strategic partnership focused on delivering new data migration capabilities designed to help enterprise customers succeed in the AI era and realize SAP’s vision of the Autonomous Enterprise.

The enhanced partnership is designed to facilitate joint customers’ cloud migrations, with the most complex data migration scenarios moving quickly, securely, and confidently through their business transformation journeys.

AI embedded across the migration life cycle

The expanded partnership builds on SAP’s broader agentic migration strategy, uniting SAP’s deep expertise in enterprise applications and SAP Business AI with Palantir’s AIP to deliver AI-driven data migration capabilities that accelerate timelines, secure cost efficiencies, and fundamentally transform how organizations operate. SAP customers can now leverage Palantir’s AIP for data migration scenarios alongside the agent-led toolchain from SAP, which includes business transformation tools and the new migration and modernization assistants to accelerate their transformations to SAP Cloud ERP.

“To turn the vision of the Autonomous Enterprise into reality, organizations need trusted partners to help them transform their core operations and unlock the power of business data and AI,” said Christian Klein, CEO of SAP SE. “Together with Palantir, we are enabling customers to move to the cloud with speed and confidence through complementary capabilities that accelerate innovation across the enterprise.” 

“We are proud to partner with SAP and Accenture to bring the power of advanced AI and data migration to the world’s most important operations. This partnership is designed to help customers realize the full value of their data, accelerate cloud migrations and AI adoption, and build more resilient and efficient operations,” said Alex Karp, co-founder and CEO of Palantir Technologies. 

Accenture as global strategic services partner

Accenture plays a key role in bringing this joint effort to life as the first global strategic services partner for this initiative, helping their clients translate these capabilities into large-scale business-led programs. Together, SAP, Palantir, and Accenture can help joint customers identify acceleration opportunities across SAP and non-SAP systems sooner, achieve faster time-to-value, and drive continuous innovation by fundamentally redefining the approach to SAP Cloud ERP migrations.

By embracing AI from day one, organizations can automate migration analysis, planning, remediation, testing, and impact assessment—moving from tracking project timelines to creating measurable business value at every stage. 

“In today’s world, speed to value is critical for our clients,” said Julie Sweet, chair and CEO of Accenture. “We are excited to co-innovate with SAP and Palantir to help our clients accelerate their journey to ERP modernization with SAP, which is the foundation for reinventing core operations and using AI to achieve new performance frontiers.” 

New SAP-validated deployment options

SAP is making Palantir AIP for data migrations scenarios available as an SAP Endorsed App on the SAP Store, and soon as an SAP Solution Extension, establishing a trusted, SAP-validated path for accelerating complex data migrations, including migrations to SAP Cloud ERP. The new SAP Solution Extension unites SAP’s deep expertise in mission-critical business processes and semantically rich data with Palantir AIP to securely accelerate data migrations for SAP customers. With the new offering, customers can gain faster insights and more intelligent, data-driven business outcomes.

Together, SAP and Palantir are redefining SAP data migrations, including ERP modernization through complementary solutions, transforming a traditionally complex migration process into an effort that enables faster value realization. 

Availability 

Palantir AIP for data migration scenarios is now available as an SAP Endorsed App on the SAP Store. The SAP Solution Extension is planned to be generally available to SAP customers in Q3 2026.

Jan Gilg is a member of the Extended Board of SAP SE.

AI innovation provides role-specific support, automating workflows to boost business productivity

AI agents are no longer confined to demos and copilots. They are beginning to act inside real enterprise systems: executing tasks, invoking tools, and operating continuously across business processes.

For SAP customers, this shift promises step-change productivity. But it also raises a hard requirement: Enterprise AI agents must be safe, governable, and auditable by design.

This is the context for SAP’s deep technical collaboration on SAP Business AI Platform with NVIDIA OpenShell, an open source secure runtime for autonomous AI agents. This collaboration is not about SAP “adopting” a runtime. It is about SAP actively shaping, hardening, and productizing the execution layer for enterprise agentic AI—together with NVIDIA.

Why this matters to SAP customers

For SAP customers, the value of this collaboration is concrete and practical. It enables:

• AI agents that operate inside SAP processes without bypassing governance
• Security models aligned with enterprise IAM and compliance frameworks
• Clear audit trails for agent actions across systems
• Confidence to move from pilots to production

Most importantly, it avoids a false choice between innovation and control. Customers do not have to bolt security on later, or redesign their risk models to accommodate AI agents. Instead, security and governance are built into the execution model from the start.

The real enterprise challenge: Trusting agents that act

When AI systems move from generating responses to executing actions, the risk profile fundamentally changes. Agentic systems can touch systems of record, cross application and data boundaries, and operate without human review at every step.

In all enterprise environments, especially regulated ones, this makes execution safety and governance the defining challenge. Traditional chatbot-era controls are insufficient once agents can access shells, files, networks, credentials, and APIs.

SAP customers know this reality well. Business AI is only valuable if it can be:

• Inspected and audited
• Constrained by policy
• Trusted by security and compliance teams

Solving this problem requires more than infrastructure primitives or application-level rules alone.

NVIDIA OpenShell: The foundation

NVIDIA OpenShell addresses a critical layer of the problem: secure, sandboxed execution of autonomous agents.

As an open source runtime, OpenShell introduces strong capabilities, including:

• Isolated execution environments
• Policy enforcement for filesystem and network access
• Runtime-level containment that limits blast radius even when agent logic fails

These capabilities form a foundational layer for autonomous agents to execute safely. In practice, enterprises need that execution layer aligned with business context and governance.

Enterprises expect clarity on questions such as:

• Which business role authorizes an action?
• Which process context applies?
• How actions map to enterprise policies and audit trails?

This is where SAP’s contribution becomes decisive.

What SAP brings: Enterprise semantics, governance, and scale

SAP is co-developing and contributing to OpenShell based on enterprise reality.

1. Enterprise-driven runtime requirements

SAP operates at a level of scale and responsibility that few software providers do: mission-critical processes, regulated industries, and millions of transactions per hour.

By bringing real SAP agentic workloads into the collaboration, SAP provides the operational proving ground that OpenShell needs to mature from a powerful runtime into an enterprise-hardened one.

This includes shaping requirements around:

• Isolation boundaries that match enterprise risk models
• Policy enforcement aligned with real business constraints
• Auditability that stands up to customer and regulatory scrutiny

2. Co-development of OpenShell capabilities

SAP is committing engineering capacity to the OpenShell open-source code base, with a focus on areas that matter specifically to enterprises: runtime hardening, policy modeling, enterprise identity integration, and auditing and governance hooks.

SAP is helping define how secure agent execution must work for enterprises; not just theoretically, but in production.

3. Joule Studio runtime: From runtime safety to enterprise control

Where OpenShell secures execution, Joule Studio runtime provides the enterprise harness that makes agents usable and governable in business systems:

• Business-aware policy semantics like roles, skills, life cycle
• Enterprise identity and access control
• Observability and auditability across agent behavior
• Deployment and operational governance across landscapes

This ensures that agent autonomy is always framed by business intent and accountability, not just technical permissions.

OpenShell answers: “Can this action safely execute?”; Joule Studio runtime answers: “Should this action happen at all?”

Raising the bar for enterprise agentic AI

This collaboration represents more than an integration. It reflects a shared intent to define what “enterprise-grade” actually means for autonomous AI systems.

By combining NVIDIA’s runtime and security innovation and SAP’s enterprise productization, governance expertise, and operational scale, SAP and NVIDIA are working toward an integrated solution for trusted agent execution—one that enterprises can inspect, govern, and rely on.

For SAP customers, this means AI agents that are not just powerful, but designed to earn trust in the environments where trust matters most.

Andre Lamego is senior vice president and chief product officer of SAP BTP Fabric

WALLDORF and AUSTIN — SAP SE (NYSE: SAP) and Dremio today announced that SAP has agreed to acquire Dremio, an open, high-performance data lakehouse platform built to accelerate agentic AI and expand SAP Business Data Cloud’s ability to combine SAP and non-SAP data to more effectively run analytical and AI workloads in real time.

Terms of the deal were not disclosed. The transaction is still pending regulatory approval.

Most enterprise AI projects fail to deliver value not because of the AI itself, but because the underlying data is fragmented, locked in proprietary formats and stripped of the business context that makes it meaningful. The result is a familiar and costly pattern: pilots that cannot scale, slow integration of new data sources, duplicated engineering work and compliance risk when organizations cannot explain how an AI-driven decision was reached. Dremio helps eliminate that data fragmentation and integration friction. The acquisition will complement the SAP Business Data Cloud and SAP HANA Cloud offerings to ensure seamless data integration across SAP and non-SAP data with high performance and low cost to accelerate AI-ready context and time-to-value for AI.

“Enterprise AI doesn’t stall because the models aren’t good enough; it stalls because the data isn’t ready for AI agents,” said Philipp Herzig, CTO, SAP SE. ” Dremio eliminates that bottleneck. Combined with SAP Business Data Cloud, we can now take customers from raw, fragmented data to governed, AI-ready intelligence on a single open platform.”

With Dremio, SAP Business Data Cloud will become an Apache Iceberg-native enterprise lakehouse that unifies SAP and non-SAP data to power agentic AI at enterprise scale. Apache Iceberg is the industry-standard open table format, and SAP Business Data Cloud will natively support it as its foundation. This means no data movement or format conversion will be necessary. SAP and non-SAP data can coexist on the same open foundation, with federated analytical reach across every enterprise data source, combined with SAP HANA Cloud’s in-memory engine for real-time transactions and operational performance.

The Dremio lakehouse platform is set to vastly improve the economics of enterprise analytics. It is serverless and elastic, scaling up automatically when demand spikes and scaling back down when it subsides, meaning no fixed capacity to provision and no performance ceiling when it matters most.

With Dremio, SAP will deliver a universal, open catalog built on Apache Polaris and the open Apache Iceberg REST Catalog API. It serves as both the discovery and semantic layer of SAP Business Data Cloud, giving every connected engine – SAP or non-SAP – a single point of access to unified business context: meaning, relationships, access rights and data lineage. This catalog will form the foundation of the SAP Knowledge Graph, embedding business relationships, organizational hierarchies, regulatory classifications and cross-system lineage as native properties.

Dremio has been a leading steward of open-source projects at the heart of its platform: Apache Iceberg, Apache Polaris and Apache Arrow, and SAP is fully committed to continuing to invest in and prioritize these contributions.

The transaction is expected to close in Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Dremio

Dremio is the Agentic Lakehouse: the only Iceberg-native data platform built for agents and managed by agents. Every knowledge worker and AI agent gets instant, governed access to enterprise data through any LLM or tool of their choice. Federated queries reach any source without ETL pipelines. An AI Semantic layer adds business context so every agent draws from the same source of truth. The lakehouse manages itself, running clustering, optimization, and compaction autonomously. The result: trusted insights that drive better business outcomes, without the infrastructure complexity or overhead. A lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Trusted by Shell, TD Bank, Michelin, and thousands of organizations worldwide. www.dremio.com

About SAP

As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit www.sap.com.

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