Christian Klein1:41
Yes, thank you Alexandra and a warm welcome to everyone joining this call. Q2 was an outstanding quarter highlighted by our flagship customer conference, Sapphire. The event was a huge success. We saw record attendance, generated significant additional pipeline, and received very positive feedback on our autonomous enterprise launch. In parallel, our AI transformation is progressing well both among our customers and our employees, reflected in growing AI consumption and tangible outcomes. This momentum contributed to our strong topline performance in Q2. Let's look at this in detail. Cloud cloud backlog grew 26%, an acceleration compared to Q1. And after two quarters where our CCB was lacking behind cloud revenue growth, it was a welcome trend reversal in this important forward-looking indicator. A great result, especially given the volatile environment. AI and SAP business data cloud were embedded as key pillars in more than 90% of our 50 largest deals, giving us strong confidence for the second half of the year. Cloud revenue grew 24% to 6.3 billion euros, backed by a solid execution of on-premise to cloud ERP migrations in our installed base. Total revenue was up 11% to 9.9 billion euros. This comes despite a slight decline in services revenue as we reallocate consultants to build agents and foster AI adoption. Our topline performance translated into an operating profit of 2.7 billion euros, an increase of 9%. Our indirect channel continues to be a strong growth pillar. Q2 growth again significantly outpaced direct channel cloud revenue, reflecting our successful go-to-market transformation over the last two years. As mentioned, a key highlight in Q2 was of course SAP Sapphire and the launch of the autonomous enterprise.
It resonated strongly because it gets to the root of why enterprise AI is so hard and what that means for our customers. The reality for many enterprises today is that LLMs don't understand business data, processes, and governance. AI token spend doesn't mirror outcomes. Lock-in to single frontier vendors is a growing concern, and AI sovereignty is becoming more important. At Sapphire, we explained how the combination of the autonomous suite and business AI platform will solve those challenges. The new business AI platform is being delivered this quarter. The platform covers three key pillars. First, the build pillar where we offer the best experience for pro-code and citizen developers to create and extend agents. With Joule studio, you can choose from a range of leading LLMs including Anthropic, Google, Mistral, OpenAI, and other open weight models. Joule studio is integrated with the second pillar, the context and reason pillar. This pillar provides the agents with the context and the knowledge they need to run business processes autonomously. It starts with our data foundation. SAP business data cloud provides broad data access to the agents, and with our latest acquisition of TMIO and its Apache Iceberg native technology, we are bringing mission-critical SAP and non-SAP data together to become a true enterprise data lake, meaning SAP and non-SAP data can be analyzed together in real time without moving or copying it first. On top of the data foundation, we are able to build one semantic data model for SAP and non-SAP data. By joining data products, we are creating semantic data models centered around the customer, supplier, material, and other master data objects of a company. Our acquisition of RLIO will govern these master data models end to end to ensure high data quality. And then these semantic models are connected with our ontology layer and knowledge graphs which we offer for every LOB and industry domain. They are the brain infused into the agents developed with Joule studio on the new platform. Most importantly, all three layers will be extensible by partners and customers to cater for their specific business needs. Our acquisition of Wire Labs will enable agents to generate accurate table predictions out of the box. After providing the agents with the context, they also need to run the business with trust and high scalability. Which brings me to the third pillar, run and govern. This pillar addresses another key challenge of AI adoption. Here we take the complexity off our customers' shoulders by managing and governing the agents embedded in the autonomous suite and beyond. SAP manages the agents across the complete agent lifecycle including SAP, partner, and customer-built agents. Specifically in the governance layer, we will ensure the agents meet your compliance frameworks and data privacy requirements from over 130 countries, checking all the identity and authorization rules to ensure the response is not only accurate but also compliant. Furthermore, we are able to switch between different models safely and dynamically inside customers' SAP landscapes. This means we will run the agents without any lock-in, adhere to local sovereignty requirements, and ensure the best price to outcome ratio.
Powered by the new platform, our autonomous suite will consist of SAP, partner, and customer agents, all managed by SAP. The AI agent hub is our command center to discover, manage, and govern SAP and non-SAP agents, MCP servers, and more. The AI agent hub gives customers transparency across a universe of agents for every LOB and every industry. And finally, this quarter, we will also launch our new end-to-end user experience, Joule work. It's a single entry point and interface across all our portfolio solutions for all tasks where users can collaborate with our AI agents. Connected to our business AI platform, Joule work dramatically accelerates outcomes for our 350 million end users. For example, a salesperson can create a complete data-rich customer pitch in just a few minutes. A finance business partner can pull together a financial analysis including all structured and non-structured data from his or her company. After Sapphire, the beta programs for our new platform, Joule and Joule work, were immediately oversubscribed and initial customer feedback has been excellent. This makes us very confident about the successful launch in Q3. In addition, we will release close to 50 assistants by the end of Q3, underpinned by more than 400 autonomous suite agents by the end of the year. To accelerate our customers' journey to the autonomous enterprise, we are also releasing three additional ERP migration assistants with 10 underlying agents later this quarter. Let me now share some tangible outcomes from our customers. On the autonomous suite side, SAP and Amadeus, a platform for global travel, developed an AI agent that autonomously reconciles unstructured payment data, already clearing around 40,000 incorrect transactions. One example from our business AI platform: to prepare for business AI, NorthQro transitioned from a legacy BW to an end-to-end data platform with BDC. This delivered significant agility, cutting BI solution build time by around 75% and accelerating report creation time by 50%. Moving on to industry AI with entity data, Denmark's largest wholesaler for steel and technical equipment, Lim Müller, deployed custom AI agents to verify purchasing orders. The solution achieved over 90% touchless processing and 98% matching accuracy. For AI agents to deliver the accurate outcomes at scale that all of these companies need, a harmonized data foundation and simplified process layer is essential. That's why the modernization of legacy system landscapes is still very important. To support our customers in this transformation, we launched our new Rise with SAP and Grow with SAP offering which has already been very well received in Q2. As part of this new offering, we are seeing a strong uptake of our AI ERP migration tool chain. Customers are achieving faster time to value and up to 30% lower ERP migration costs. A great example of this in action is Dexope who used their Rise with SAP migration to eliminate 97% of legacy customizations, driving a 75% faster accounting close. In parallel, our new offering also includes a firm commitment to our customers to activate and adopt AI assistants and agents within the first year of their journey. We also saw many Rise deal highlights in Q2.
They include Shell, Morgan Stanley, Samsonite Group, Vonovia, Eli Lilly, Retailer Shoprite Group, and Electrolux. We also see great momentum around SAP Grow with companies such as Palo Alto, Guru Credit, Model Data Centers, and TechM Energy Services. Turning to the AI deals, key wins included PwC, one of the world's largest professional services firms. They selected our AI to transform a complex billing process, cutting a 35-minute task to just 5 minutes while improving accuracy and end user satisfaction. Travel platforms Booking.com and GoAs as well as Oki Electric Industry selected many of our LOB and industry AI offerings in addition to BDC. Our software and cloud offerings also gained significant momentum with key wins including companies like ABB. Successful go-lives included Fonta Dura and Nura Cosméticos. To deliver our AI vision, we also continue our own transformation. We are moving with full speed to turn SAP into an autonomous enterprise. In engineering and technology, we are transforming our operating model from software development to building AI at scale. We are doubling down on our ontology development with our best domain experts working on knowledge graphs for every industry and LOB. And we are accelerating innovation, targeting complete agent delivery in under three weeks by applying tools like Cloud Code. We are also increasing overall developer productivity by up to 30%. In go-to-market, we are also evolving our operating model. The consulting AI factory is a prime example. Over 3,000 SAP consultants are driving AI adoption directly with more than 2,000 customers. Over the next few weeks, we will roll out Joule work desktop internally to drive additional productivity across all functions. While we are driving significant efficiency gains with AI, we are making investments in our workforce both by investing in world-class AI talent as well as upskilling and reskilling at full speed. We are rolling out a range of code camps and in-person training offerings across our key locations with the target of reaching more than 90% of our employees over the next few months. In addition to upskilling our people, we are focusing our hiring efforts to bring in the industry's best data scientists and AI experts. Their leading skills will complement our deep business process and domain know-how. Let me summarize. In Q2, we delivered a strong quarter with strong momentum in our business. In the age of agentic AI, SAP is leading the way. The autonomous enterprise is anchored in AI agents that can run end-to-end business processes accurately, compliantly, and cost-effectively, and always with the human in the loop. SAP successfully completed our transformation to the cloud, and we will once again successfully transform in the AI era to deliver accelerated growth and profitability. And with that, I'll hand over to Dominic.