Introducing SAP Business AI Platform

Today, customers expect AI that understands intent, reasons over business context, is grounded in encoded process knowledge and a context-rich data layer, and takes actions across applications - always with enterprise grade governance to drive secure outcomes. To meet these expectations and to unlock differentiated innovation, customers need a platform not only to tailor solutions but to compose, extend, integrate, contextualize, and govern agents. Partners require a platform to build and distribute agents alongside complementing solutions. Lastly, SAP developers need a unified platform and tooling to efficiently deliver AI-native experiences combining application and agent capabilities.

SAP Business AI Platform is that platform. It enables customers, partners, and SAP to build, extend, optimize, connect and integrate, run, and innovate across the agent, app, and data layers in and beyond SAP-centric landscapes, and provides an agentic platform where business applications and agents coexist and collaborate — always with humans in the loop. The platform is the next evolution of SAP's unified platform and brings together the capabilities of SAP BTP, AI Foundation, SAP BDC, SAP HANA Cloud, and some capabilities from the Business Transformation Management portfolio. This comprehensive platform is enabled by the breadth and depth of SAP’s technical landscape. It ushers in a new era of productivity — empowering developers as confident, compliant AI-builders while elevating IT leaders and CIOs as the architects of enterprise AI strategy.

Build: Simplify and accelerate development with one environment for building, integrating and running AI agents, applications, agent extensions, and workflows, with the governance and business context required to operate at scale.​

• Joule Studio is the next generation of SAP Build offering and is SAP’s AI first development environment for building, and running agents, applications, and workflows, by providing a best-in-class developer experience - grounding every agent, workflow, or application in extensive enterprise context and existing governance frameworks. It is fully aware of context such as landscape information, business process improvement recommendations, data, and application code.  It offers the most productive way to build and extend SAP AI solutions - from intent to requirements to deployment. Joule Studio provides the flexibility of low/no-code and pro-code paths and embeds n8n for visual workflow composition. Additionally, with the Vercel integration developers can easily build Next.js based web applications modern frontends using frameworks like React, and Angular complementing SAP frameworks (UI5, Fiori).
• SAP Integration Suite provides a trusted enterprise integration layer that connects AI agents, business processes, systems and applications across SAP and non-SAP landscapes and facilitates secure governance of enterprise API exposure, multi-LLM connectivity, and enterprise-wide agent executions. It enables agent connectivity with standard interaction with protocols like MCP and activates event-driven agentic workflows across enterprise systems and processes. It accelerates agent connectivity with thousands of pre-built integrations, SAP and non-SAP connectors, and speeds up agent integration delivery with AI-assisted capabilities across the end-to-end lifecycle.

Contextualize & Reason: SAP grounds AI in 50 years of encoded business process expertise with a data fabric that serves as the trusted knowledge core for every enterprise application and agent. Generative AI Hub provides access to SAP Domain Models alongside leading third-party LLMs, with a full suite of orchestration services — including prompt optimizer, benchmarking, evaluation, and data masking — helping enterprises overcome the limitations of generic AI.

• SAP Knowledge Graph transforms disconnected enterprise data into a semantic network of meaning by encoding the relationships, dependencies, and business logic that define how an organization actually operates. Built on decades of codified SAP business expertise, Knowledge Graph grounds AI agents in explicit business context, so they can reason across customers, suppliers, processes, and regulations with depth and accuracy.

• SAP Business Data Cloud brings one of the most comprehensive and mission-critical data into a converged Data & Analytics solution spanning data warehousing, master data management, database, analytics, planning, and machine learning. With SAP Business Data Cloud, customers can:

  1. Fuel AI with complete, clean, contextual, consumable, and current data across the full enterprise to ensure accurate outcomes.
  2. Leverage fully managed, curated data products across all SAP applications to eliminate the hidden costs of data extraction and ensure data consistency.
  3. Zero-copy share data to and from third-party platforms, seamlessly integrating SAP and non-SAP data.
  4. Bring the Autonomous Suite to life with adaptive and AI-powered Line of Business (LoB) intelligent apps that learn, reason, and act in the context of each organization’s business data.

• SAP and Non-SAP Models: In addition to secure and compliant access to frontier LLMs from leading AI labs such as OpenAI, Anthropic, or Mistral, SAP provides its own predictive and business domain- or industry-specific models. SAP RPT-1 gives customers unprecedented predictive modeling capabilities and is designed specifically for structured tabular business data. SAP RPT-1 can deliver predictions without any model training or fine-tuning, eliminating the weeks or months typically required for traditional ML model development. SAP Domain Models are a set of trained AI models that are based on the full depth of SAP’s institutional knowledge and act as a foundation for autonomous enterprise operations. Because SAP sits at the core of how most of the world's leading companies operate, SAP’s models are well positioned to address enterprise scenarios that general-purpose AI may not cover effectively: run, optimize, and evolve business processes with real-world context and precision.

Govern: Organizations pursuing AI strategies at enterprise scale face two challenges at once: risk that evolves faster than most governance frameworks can keep up with, and value that is harder to measure than expected. SAP Business AI Platform addresses both. Every agent, application, LLM, and MCP server operates within the boundaries defined by the business from deployment onward, and every AI initiative is continuously measured against the outcomes it was designed to deliver.

• SAP AI Agent Hub gives IT a command center to discover, manage, and govern agents across the full lifecycle — helping ensure that every agent operates within defined guardrails.

• The SAP-managed Joule Studio Runtime enforces policy and identity controls at the point of execution and handles the operational complexity of running hundreds of agents, supporting reliability, scalability, and performance.

• SAP Integration Suite extends governance to the connectivity layer, covering API security, MCP exposure, and AI services management. Compliance and security controls are built into the platform rather than applied after deployment.

• SAP Signavio Process Intelligence supplies AI agents with the right context, surfaces where they realize value and where they do not, identifies inconsistent or non-compliant behavior, and discovers where new agents could make a measurable difference, enabling organizations to course-correct early. Enterprise architecture with SAP LeanIX keeps AI initiatives aligned with the business strategy over time, providing leadership with visibility into outcomes, not just uptime.

• Core platform capabilities such as Identity and Access Management or Security Services provide the essential, unifying set of technical capabilities for an enterprise-grade agentic platform, all managed by SAP.

What Sets SAP Apart

• Unmatched training data: Only SAP has access to the breadth of code, business logic, industry process knowledge, and operational outcomes needed to train models that understand not just SAP technology, but how a best-run company actually works.
• Customer-specific fine-tuning: SAP further tailors these models on each customer's own data, processes, and context — turning shared intelligence into a unique and durable advantage for customers.
• Always current: New best practices and process innovations that SAP develops are immediately reflected in the models, helping customers and agents operate on the leading edge.

• SAP Business AI Platform is the unified platform that brings together SAP BTP, AI Foundation, SAP Business Data Cloud, SAP HANA Cloud, and some capabilities from the Business Transformation Management portfolio — enabling customers, partners, and SAP to build, extend, connect, run, and govern agents, applications, and data in and beyond SAP-centric landscapes.
• Joule Studio is SAP’s AI first environment that helps teams turn ideas into working solution providing a low/no-code and pro-code environment for building AI agents, agent extensions, workflows, and applications grounded in enterprise context — from intent to deployment. SAP Integration Suite connects agents across SAP and non-SAP systems and governs API exposure, multi-LLM connectivity, and event-driven agentic workflows.
• SAP Knowledge Graph and SAP Business Data Cloud ground AI in 50 years of encoded business process expertise and mission-critical enterprise data — enabling agents to reason accurately across customers, suppliers, processes, and regulations.
• SAP's model portfolio includes access to frontier third-party LLMs via Gen AI Hub, domain-specific models, and SAP-RPT-1 — a predictive model for structured tabular business data that requires no training or fine-tuning.
• Governance is built into the platform from deployment: SAP AI Agent Hub manages agents across their full lifecycle; the SAP-managed Joule Studio Runtime enforces policy and identity controls at execution; and SAP Signavio and SAP LeanIX keep AI initiatives aligned to business outcomes and enterprise architecture over time.