SNP and Palantir have formed a strategic partnership to develop AI-powered solutions for SAP transformation projects, with an initial focus on automating test-data selection for complex migrations. SNP announced the partnership on July 8 at its Transformation World event in Heidelberg, Germany.
The collaboration brings together SNP’s SAP data migration and transformation experience with Palantir’s AI and data platforms, including Palantir Ontology and Artificial Intelligence Platform (AIP).
The first joint solution, Test Data Proposal, will be added to SNP’s Kyano platform. SNP said the tool addresses a highly manual part of SAP migration programs: identifying relevant test data for customer test cases. By using AI to propose test data automatically, the companies aim to reduce manual effort and improve speed, efficiency, and quality across SAP transformation projects.
The announcement also covers large-scale moves to SAP Cloud ERP applications, where customers are seeking faster and more predictable modernization programs. SNP said the partnership will support customers across “all types of SAP projects,” including mission-critical transformation work where security, compliance, and auditability are central requirements.
Testing Becomes the First Target
The choice of test data is a narrow but important starting point. SAP migrations do not only depend on moving data from one environment to another. Project teams also need to validate whether transformed data, processes, customizations, and business scenarios behave correctly before go-live.
That work often requires teams to identify representative test cases and the underlying data needed to run them. SNP and Palantir are targeting that preparation layer first, rather than positioning the partnership as a general AI overlay for SAP programs.
“Organizations are looking for new ways to increase speed, efficiency, and quality in large-scale SAP transformations,” said Jens Amail, CEO of SNP. He added the companies will deliver “secure outcomes and new solutions” to customers and partners.
Sameer Kirtane, Head of US Commercial at Palantir, said Palantir has seen momentum using Ontology and AIP to accelerate SAP migrations and compress timelines. He cited SNP’s track record in “predictable, compliant and auditable outcomes” as a reason for the partnership.
Another AI Layer
The partnership follows SAP and Palantir’s expanded work announced at SAP Sapphire 2026, where SAP positioned Palantir AIP as part of AI-supported tooling for data migration scenarios. SAP said in May that customers could use Palantir AIP alongside SAP’s migration and modernization assistants to support analysis, planning, remediation, testing, and impact assessment for SAP Cloud ERP transformations.
SNP’s role adds a specialist migration layer to that broader market push. The company has more than 3,000 customers globally and has completed some 15,000 SAP transformation projects. Its Kyano platform and Bluefield approach are built around restructuring, modernizing, and managing enterprise data in SAP environments.
SNP also introduced Kyano Lorna at Transformation World as an agentic AI layer for its Kyano platform. The company said Lorna is designed to support active transformation projects by scanning SAP system data, identifying risks, generating transformation rules, accelerating root cause analysis, and helping with data verification.
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What This Means for ERP Insiders
AI is taking on the hardest execution work inside ERP transformation. The next wave of value will come from applying AI to the labor-intensive tasks that slow programs down, including test planning, data validation, remediation, rule generation, and cutover readiness. SAP customers, systems integrators, and migration specialists should expect AI-enabled project controls to become a standard part of transformation methodology, not a separate innovation layer.
Governance will decide how far automated migration work can scale. Large ERP programs increasingly depend on whether teams can prove that the right data has been selected, tested, transformed, and validated before business disruption occurs. For regulated industries and complex global enterprises, the competitive advantage will come from building auditability, traceability, and human review into automated transformation workflows from the start.
Software-led delivery is reshaping the SAP services market. As SAP customers move from SAP ECC to SAP Cloud ERP, partners will need to differentiate through repeatable platform-based execution rather than advisory scale alone. For consulting firms, migration vendors, and enterprise IT leaders, this raises the bar for transformation programs to be faster, more predictable, and easier to govern across multiple waves of modernization.
