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What changed at SAP in 2026?
The first reorganization was official. On March 2, SAP announced a new Customer Value Group, combining Customer Success with Customer Services & Delivery. The structure took effect on April 1, when Executive Board member Thomas Saueressig became chief customer officer. Jan Gilg and Manos Raptopoulos continued to co-lead Customer Success and report to Saueressig. SAP’s announcement is available at SAP News.
The second change concerns product leadership. SAP disclosed that Muhammad Alam, its Executive Board member for Product & Engineering, will not renew his contract when it expires in March 2027, citing personal reasons. Bloomberg Law subsequently reported that SAP planned to distribute his responsibilities rather than name an immediate replacement: Klein would take most product and engineering functions, while COO Sebastian Steinhaeuser would oversee industrial AI. That allocation remains a reported plan, not a clearly confirmed formal board-responsibility announcement.
| Date | Development | Status |
|---|---|---|
| March 2, 2026 | Customer Value Group announced; Alam’s non-renewal disclosed. | Official SAP announcement and company disclosure |
| April 1, 2026 | Customer Success merged with Customer Services & Delivery; Saueressig assumed the expanded customer role. | Effective date in SAP announcement |
| May 2026 | SAP’s Sapphire coverage still presented Alam as the Product & Engineering executive. | Official event material |
| June 30, 2026 | Bloomberg reported the planned split of Alam’s responsibilities. | Reported plan |
| July 1, 2026 | CIO summarized the product and AI oversight report. | Secondary coverage |
SAP’s 2025 Integrated Report identifies Philipp Herzig as chief technology officer on the Extended Board and describes AI as a central strategic priority. The filing is available through the SEC.
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The March move: sales, delivery and renewals under one customer leader
This is not simply a change from one sales chief to another. The Customer Value Group is designed to connect the complete customer lifecycle:
- selling SAP cloud products;
- implementation and delivery;
- consulting and services;
- technical support;
- adoption and realized value;
- renewal; and
- expansion.
Previously, sales responsibility sat with CEO Christian Klein. Moving that operational remit to Saueressig gives Klein more capacity to focus on product, technology and AI priorities. For customers, the intended benefit is a clearer owner when a purchase, migration, implementation or renewal crosses organizational boundaries.
Why adoption matters to SAP’s AI strategy
SAP’s AI products are embedded in business applications and depend on customers using SAP’s cloud platform, data and workflows. A customer can buy an AI-enabled capability and still see little value if its data is fragmented, an S/4HANA migration is delayed, integrations are brittle or employees do not adopt the new process.
Combining sales with post-sale execution gives one organization incentives to address those obstacles. It can also concentrate considerable commercial and operational power in one leader. CIO has reported customer concerns about S/4HANA return on investment, cloud migration and licensing; those reports provide context, not a quantified finding that SAP customers generally lag.
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The Alam succession: a reported redistribution of product and AI authority
Alam remains the key distinction between what SAP has confirmed and what has been reported. SAP has said his contract ends in March 2027 and will not be renewed. At Sapphire in May, SAP still presented him as responsible for Product & Engineering.
On June 30, Bloomberg Law reported that SAP intended to divide his portfolio. Under that reported plan, Klein would receive most product and engineering responsibilities and Steinhaeuser would take industrial AI. CIO summarized the report on July 1 at CIO. Until SAP publishes a formal responsibility statement, “Klein runs product and engineering” and “Steinhaeuser runs industrial AI” should be treated as descriptions of the reported transition, not completed facts.
Executive map
| Executive | Current or reported responsibility | What is established |
|---|---|---|
| Christian Klein | CEO; formerly responsible for sales; reported to take most of Alam’s product and engineering portfolio. | Sales change is official; product allocation is reported. |
| Thomas Saueressig | Executive Board member and chief customer officer for the Customer Value Group. | Official from April 1, 2026. |
| Sebastian Steinhaeuser | COO; reported to take industrial AI. | Reported allocation, not clearly confirmed in a formal release. |
| Muhammad Alam | Executive Board member for Product & Engineering until his contract expires. | Non-renewal after March 2027 disclosed by SAP. |
| Philipp Herzig | Chief technology officer on SAP’s Extended Board. | Identified in SAP’s integrated-report material. |
Why SAP is changing the structure now
SAP is trying to make cloud migration and embedded AI reinforce each other. Its 2026 strategy emphasizes Joule, embedded agents, industry-specific AI, Business Data Cloud and AI-assisted migration. The commercial logic is straightforward: cloud subscriptions create the platform on which SAP can deliver AI, while AI can make the platform more valuable and harder to replace.
That strategy also responds to competitive pressure. Investors have worried that general-purpose models could make traditional enterprise applications less essential. Reuters reported that SAP is positioning process-embedded AI as a way to strengthen, rather than displace, its applications. In July 2026, Reuters reported SAP’s CFO arguing that enterprise AI must move beyond chatbots and coding tools into complex processes where data quality, reliability and cost control determine returns.
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The reorganization therefore addresses two different bottlenecks. Saueressig’s group is meant to improve conversion from purchase to customer value. Bringing more product and AI authority toward Klein and Steinhaeuser is intended to shorten the distance between corporate strategy, application roadmaps and industrial use cases.
What “all-in on AI” means in SAP’s products
“All-in on AI” is SAP’s strategic language, not an independently measured outcome. Operationally, it refers to several layers:
Joule and Joule Agents
Joule is SAP’s AI copilot and user-experience layer. Joule Agents are specialized agents intended to execute or assist with business workflows rather than merely answer questions.
Business AI Platform
SAP describes its Business AI Platform as an environment for building, contextualizing and governing enterprise AI. It is intended to connect models and agents to SAP applications, controls and business data.
Business Data Cloud and Knowledge Graph
Business Data Cloud is positioned as the governed data foundation for AI. SAP’s Knowledge Graph represents business entities, processes and relationships so agents can reason with enterprise context instead of isolated text.
Autonomous Suite and Industry AI
SAP’s Autonomous Suite spans AI-enabled applications in finance, spend, supply chain, human resources and customer experience. Industry AI applies similar capabilities to sector-specific processes. SAP’s autonomous-enterprise announcement is at SAP News, and its architecture explanation is at SAP’s AI-native architecture article.
These layers are different from one another: AI embedded in an existing application, an agent orchestrating a workflow, an internal productivity tool, and a separately sold AI service are not the same product or business model. SAP’s Sapphire platform overview is at SAP News.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Potential benefits—and organizational risks
Where centralization could help
- AI investment priorities can be set closer to the CEO.
- Applications, data, models and go-to-market teams may coordinate more quickly.
- A single customer organization can own the handoff from contract to adoption and renewal.
- Senior leadership has clearer accountability for turning AI into a business rather than a collection of demonstrations.
Where it could fail
- Klein’s span of control could become too broad.
- Splitting Alam’s portfolio could create coordination problems between product, engineering, technology and industrial AI.
- Product decisions could become overly centralized or optimized for launch speed and messaging.
- A sales-and-services consolidation could create pressure to upsell AI before a customer is ready.
- Divided authority can make responsibility for missed roadmaps, reliability or safety harder to identify.
These are governance implications, not disclosed SAP results.
What customers and partners should watch
Commercial terms and consumption
SAP says base AI is included in standard SAP Cloud subscriptions, while premium AI can be priced per user per month or through consumption-based AI Units. The public buying page generally directs enterprise buyers to request a quote; annual AI Units expire after 12 months if unused. Details vary by contract and product. See SAP Business AI pricing.
Customers should ask whether a capability is included, a premium package or metered consumption; how AI Units are measured; what happens when usage exceeds an allowance; and how model or feature changes affect a subscription.
Data, integration and implementation readiness
- Are core records harmonized and governed?
- Can the agent reach the systems needed to complete a workflow?
- Who approves high-impact actions?
- Are security, audit logs and escalation paths in place?
- Does the implementation partner have capacity for process redesign and change management?
SAP’s AI architecture itself emphasizes trusted, harmonized data because agents without business context can produce unreliable outcomes.
Model transparency and dependency
SAP uses third-party models in parts of its AI stack. Buyers should identify which models are used, where data is processed, how prompts and outputs are governed, and how a model change could alter behavior. SAP’s integrated platform can improve context and governance, but it can also increase dependence on SAP’s applications, data layer and commercial terms.
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How to tell whether the reshuffle is working
Executive rhetoric is a poor scorecard. Customers, investors and partners should track:
- Cloud adoption: migration speed, implementation delays, renewal and expansion trends.
- AI monetization: usage of Joule and premium features, AI Unit consumption and incremental revenue rather than merely announced pilots.
- Customer outcomes: independently credible productivity, cost or revenue improvements, not only selected case studies.
- Product execution: coherent delivery across Joule, agents, data services and model integrations.
- Governance: a clear final decision-maker for architecture, safety, product trade-offs and customer outcomes.
The hardest test is the pilot-to-production gap. An impressive demonstration does not establish enterprise-wide return on investment, reliable autonomy or lower total cost.
The bottom line
SAP is aligning its organization with an AI-native enterprise-software strategy in two ways: Saueressig now owns the customer journey so cloud and AI purchases can translate into adoption and renewals, while product and industrial-AI authority is moving closer to Klein and Steinhaeuser as Alam’s planned departure approaches. The structure is more consequential than a title shuffle, but it remains a means rather than proof of success. The evidence will be in migration execution, customer adoption, renewal and expansion, dependable agent behavior, and measurable business value.
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