SNP and Palantir are partnering to bring AI into one of the most labor-intensive areas of SAP transformation: test-data selection. The collaboration highlights a broader shift toward software-led delivery models that promise faster, more predictable, and more auditable ERP modernization projects.

Microsoft's 2026 Work Trend Index reveals a growing disconnect between employee AI capabilities and the enterprise systems designed to support them. As workers move faster with AI, ERP leaders face growing pressure to connect intelligence, governance, and operational execution.

Cloud ERP vendors continuously release new capabilities, creating a challenge many organizations never anticipated when they approved their business case. This article explores how ERP leaders should respond when a platform changes before go-live and offers a practical framework for balancing customization, standardization, governance, and long-term value.

SNP is expanding its AI capabilities through Kyano Oros, helping organizations bring unstructured enterprise data into mergers, acquisitions, divestitures, and SAP transformation projects. The move highlights a growing challenge for M&A teams: understanding the risks, obligations, and opportunities hidden beyond structured ERP data.

Most ERP programs measure budgets, milestones, testing progress, and deployment readiness. Few measure the hidden liability created by unresolved business decisions. As AI compresses implementation timelines, decision debt may become one of the most expensive risks in enterprise transformation.

As organizations expand cloud ERP ecosystems and integrate more applications, identity governance is emerging as a critical operational challenge. Sustainable access management depends less on technology alone and more on clear ownership, governance frameworks, and business accountability.

Accounts payable automation has come a long way—yet most finance teams are still doing significant manual work. This article examines why AP workflows break down even with automation tools in place, where the ERP gaps lie, and what CFOs and finance leaders need to do to build truly touchless invoice and payment processing.

MCP is emerging as the protocol layer that lets AI agents discover and call enterprise tools, data sources, and workflows. For ERP leaders, the opportunity is lower integration friction. The risk is that access control, auditability, and cost discipline move closer to the agent boundary.