SAP TechEd 2026, SAP’s global technology conference held from October 27–29, 2026, in Berlin, Germany, unveiled new innovations that highlight the shift toward the Autonomous Enterprise, where AI and automation play an increasingly important role in driving business operations.
A key highlight of this year’s event was the advancement of Agentic AI, moving beyond the role of intelligent assistants to become an integral part of business processes. SAP also introduced enhancements in data connectivity, AI agent development, and AI governance to support enterprise-wide adoption, I AM Consulting brings you five key takeaways from SAP TechEd 2026!
1. Joule Work: Advancing AI Agent Collaboration for Intelligent Automation
SAP introduced new capabilities in Joule Work that enable multiple AI agents, including SAP’s Joule Agents and third-party AI agents, to work together seamlessly and automate complex business processes.
Key capabilities include:
- Seamless AI Agent Collaboration: Connect AI agents from SAP and third-party providers to work together within a single workflow through secure, permission-controlled connections.
- Smarter Management of Complex Tasks: Combine multi-agent orchestration with SAP Knowledge Graph to help AI better understand business data and organisational context.
- Security and Traceability: Manage access permissions, maintain activity logs, and establish human review and approval checkpoints to minimise errors and maintain control.
Joule Work enables organisations to coordinate multiple AI agents more effectively, reduce repetitive tasks, and maintain security and control. These capabilities help businesses confidently scale AI adoption across their operations and accelerate their journey toward the Autonomous Enterprise.
2. Joule Studio: Making AI Agent Development Easier and Faster
Enterprise AI development is becoming more accessible as SAP introduces enhanced capabilities in Joule Studio, an AI agent development tool that enables business users and developers to build AI agents more easily and efficiently, from defining requirements and development to testing and deployment.
Business users can describe their requirements using natural language, while developers can further customise solutions through coding. Joule Studio also supports automated workflow creation through n8n, AI agent testing in a sandbox environment before deployment, role-based access control, and structured development tracking before agents are deployed through Joule Work.
In addition, Joule Studio integrates with SAP LeanIX, SAP Signavio, and SAP Knowledge Graph to help AI better understand business processes, data, and enterprise IT architecture. These integrations enable more relevant API connection recommendations and solution designs tailored to business requirements.
Joule Studio simplifies and accelerates AI agent development, enabling business teams and developers to collaborate more effectively. It helps organisations turn business requirements into deployable AI solutions faster while maintaining enterprise security standards and governance.
3. Advancing AI with Deeper Data and Business Context Understanding
Effective AI depends on more than intelligence alone. It requires accurate data and a clear understanding of business context.
SAP is expanding the capabilities of the SAP Business AI Platform by incorporating technologies such as Apache Iceberg and Dremio to support data management and querying across SAP and non-SAP systems. This enables organisations to access and utilise data from multiple sources more efficiently for analytics and AI development.
SAP is also enhancing SAP Knowledge Graph to help AI better understand the meaning and relationships behind business data. This is further supported by SAP Business Data Cloud Ontology Manager, an AI-powered tool that helps organise and connect data, business rules, and processes to establish relevant context for AI agents.
Together, these capabilities enable AI to analyse information and provide recommendations that better reflect real business operations.
SAP also introduced two new AI models:
- SAP-RPT-TS: Supports time-series analysis and forecasting, such as demand planning and predicting future product requirements.
- SAP-RPT-Decisions: Supports automated decision-making in business processes, such as purchase order approvals and supply chain issue resolution, while reducing data preparation efforts.
These advancements enable organisations to develop AI agents with a deeper understanding of business context, simplify data management, improve analytical accuracy and decision-making, and accelerate AI adoption across the enterprise.
4. AI Governance: Building a Secure, Transparent, and Accountable AI Foundation
As AI becomes increasingly integrated into business operations, ensuring security, transparency, and accountability is more important than ever.
SAP is strengthening its AI governance capabilities to help organisations adopt AI confidently, securely, and in compliance with regulatory requirements. New and enhanced solutions are designed to support more effective AI management and oversight.
Key innovations include:
- SAP Enterprise AI Gateway: A centralised platform for managing AI connectivity and communication across the enterprise. It enables organisations to control access permissions, monitor AI usage and costs, and track AI activities from a single point of control.
- AI Governance Assistant: An intelligent assistant that supports risk assessment and compliance preparation in line with the EU AI Act, while ensuring that human experts remain responsible for reviewing and making final decisions.
- SAP LeanIX: Helps AI agents understand enterprise IT architecture, policies, and standards to deliver recommendations aligned with organisational requirements, with human approval required before new information is applied.
- SAP Sovereign Cloud: Expands support for SAP AI Core, Joule, and SAP Datasphere on AWS, enabling organisations with strict data governance requirements to adopt cloud-based AI with greater confidence while addressing data residency, security, and regulatory compliance needs.
These capabilities help organisations establish a stronger foundation for responsible AI adoption, ensuring that AI-driven operations remain secure, transparent, and aligned with business and regulatory requirements.
5. SAP and Partners: Bridging the AI Readiness Gap
Successful AI adoption requires more than advanced technology. It also depends on skilled professionals and a clear strategy for integrating AI into business operations.
SAP announced new initiatives to help organisations and partners strengthen their AI readiness and accelerate enterprise transformation.
One of the key highlights was the introduction of two new AI certifications, designed to validate and enhance the expertise of professionals, developers, and partners.
- SAP Business AI Platform Solution Architect: Validates expertise in designing AI solutions across three core areas: AI development, connecting business data and context for reasoning and analysis, and AI governance.
- Joule Studio Developer: Validates skills in developing AI agents, applications, and automated workflows, from translating business requirements into functional AI agents to preparing solutions for real-world deployment. SAP is offering one free certification exam attempt until December 31, 2026.
SAP is also enhancing the RISE with SAP Methodology by embedding AI more deeply into the Cloud ERP transformation journey. This includes AI-assisted guidance from project initiation through system implementation, as well as AI readiness assessments that connect business objectives with AI opportunities and support structured AI adoption planning.
By combining professional skills development with a clear transformation strategy, these initiatives help organisations adopt AI more systematically, align technology investments with business goals, and equip developers and partners with the capabilities needed to succeed in the AI era.
How Should Organisations Prepare for AI?
Unlocking real business value from AI requires more than adopting new technology. Organisations must first establish a strong foundation across three essential areas:
- Data Readiness: Ensure high-quality, connected, and accessible data to support AI-driven analytics and operations.
- Business Process: Review and optimise existing workflows to identify opportunities where AI can improve efficiency and deliver measurable business value.
- AI Governance: Establish appropriate security standards, controls, and governance frameworks to ensure responsible and accountable AI adoption.
Building these foundations today will help organisations make informed technology decisions, adopt AI with a clear direction, and turn emerging innovations into meaningful business outcomes.
SAP TechEd 2026: The Future of the Autonomous Enterprise Is Here!
SAP TechEd 2026 was more than a showcase of new technologies. It offered a glimpse into the future of enterprises, where AI plays an increasingly important role in connecting data, orchestrating processes across systems, and enabling smarter decision-making.
However, the success of an Autonomous Enterprise depends on more than AI capabilities alone. It requires the seamless integration of People, Process, Data, and Technology to drive business performance.
As a trusted SAP and Digital Transformation consulting partner, I AM Consulting is committed to helping organisations build strong technology and business process foundations, prepare for AI-driven transformation, and unlock new opportunities for sustainable growth.
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Because in the AI era, competitive advantage is not about who adopts technology first,
but who can turn its potential into real business value.
