From Software Vendor to Business AI Company
On the Sapphire stage, SAP CEO Christian Klein opened with a provocation: “Will SAP be a software company in the future?” By the close, the answer was clear—SAP is positioning itself as a business AI company, powered by what it calls the SAP Autonomous Suite. Rather than treating AI as a bolt‑on feature for ERP, SAP presented a new agentic stack that sits above applications, data, and process logic. The vision: enterprise systems that can reason, recommend, and act across finance, spend, supply chain, HR, and customer workflows without constant human handholding. This represents a bid to own the emerging control layer that orchestrates business execution. For enterprises, the shift reframes ERP transformation from deploying standalone applications to adopting an AI‑driven execution fabric that governs how processes run end‑to‑end, regardless of whether the underlying systems are SAP or not.
Data and Context: The New Foundation of ERP Transformation
SAP is betting that autonomous enterprise agents rise or fall on data quality. As Klein put it, “No AI agent can compensate for a bad data landscape.” The Autonomous Suite therefore starts with a unified business data layer and context model designed to span both SAP and non‑SAP estates. Rather than stitching together yet another integration patchwork, SAP wants agents to tap a single, governed business context that covers process flows, master data, policies, and transactions. Customers can already access hundreds of managed data products, and SAP is adding a data‑products generation agent to speed up modeling additional data products. Federation ambitions across cloud and legacy environments, along with open table format support, are all aimed at letting agents reason over information “from any source, any environment.” In this model, value shifts from record‑keeping to orchestration grounded in consistent enterprise context.
Joule Studio 2.0: Agent Factory for Outcome‑Driven Systems
If the data layer is the foundation, Joule Studio 2.0 is SAP’s new factory for business agents. CTO Philipp Herzig described it as the place where customers and partners “build agents for specific business outcomes,” not just generic copilots. In a demo, a process consulting agent identified a pricing and purchasing issue with an estimated margin impact of nearly USD 24 million (approx. RM110.4 million), then suggested a sales pricing validation agent to fix it. Joule Studio 2.0 went on to auto‑generate a product requirements document, technical specs, workflow logic, evaluation steps, and orchestration for multiple agents. Crucially, it is intent‑based and model‑agnostic, anchored in SAP’s business semantics and process knowledge while still able to target third‑party environments. The promise is faster time to a governed outcome, with enterprise controls and agent governance baked in from the start.
Agent Governance and the Rise of the Autonomous Suite
Returning to the stage, Klein described how SAP’s traditional “system of execution” is evolving into an Autonomous Suite. Product and engineering lead Muhammad Alam reported that SAP has already delivered 224 agents and 51 assistants mapped to four core business processes, with more to follow. These agents can be human‑triggered or system‑triggered, extended via rules and workflows, and monitored for business impact from the same experience used in Joule Studio. Governance is central: SAP is not simply unleashing agents, but tracking who they serve, how they act, and what outcomes they deliver. This represents a structural reorganization of SAP’s portfolio around autonomous execution rather than discrete apps. As the number of agents grows, the governance layer—defining roles, permissions, policies, and auditability—becomes the new backbone of ERP transformation, determining how much autonomy enterprises are comfortable handing over to AI systems.
CX Orchestration: From Fragmented Copilots to Unified Execution
Nowhere is SAP’s shift more visible than in customer experience. SAP’s new CX products aim to replace fragmented, role‑specific copilots with orchestrated, outcome‑driven AI systems that execute journeys across marketing, commerce, sales, and service. As CMO Jessica Keehn explained, the goal is not to flood teams with more agents, but to connect “the right agents around a shared source of truth” so users can simply state desired outcomes. Agent coordination and complexity live behind the scenes, atop a unified data foundation. This moves CX beyond traditional omnichannel, toward what Keehn calls “constant experience”—continuity of context, intent, and operations across every touchpoint. A marketer should not need to know which agent checks inventory or triggers next best actions; a service agent should not sift through systems for entitlements. The SAP Business AI Platform underpins this, turning AI from isolated assistance into coordinated execution across the entire customer lifecycle.