• Why does the CFO have to wait 7 minutes for a report every morning?
• Why does the accounting team have to manually type invoice data into SAP?
• Why do suppliers deliver late with no advance warning?

This article walks through AI use cases on SAP designed by I AM Consulting to solve exactly those problems, covering three core areas of the business, each with a real-world scenario and measurable results.

Why AI on SAP — Not Generic AI?

The difference with AI on SAP is that it accesses real business data directly within SAP S/4HANA. No need to export data first, build extra integrations, or train a model from scratch. SAP Business AI is embedded directly into existing workflows, so users can start immediately without changing their core processes.

Pillar 1: Finance Management — CFOs Decide in 2 Minutes

Finance Management is a use case built for finance executives especially CFOs and Finance Directors who need real-time information to make decisions, rather than waiting for a weekly report.

Real-World Example: Real-Time Cash Flow Analysis

Before AI

The CFO needs to review liquidity before approving an investment. The finance team has to pull data from multiple SAP modules and export it to Excel for analysis — taking an average of 7 minutes each time.

After AI on SAP

The CFO types a question in plain language into Joule, such as “Show this month’s cash position compared to last month.” The system pulls data from SAP S/4HANA in real time and returns results with insights within 2 minutes.

Profitability Insights and EBITDA Simulation

(EBITDA: earnings before interest, tax, depreciation, and amortization a measure of core business profitability.) Beyond cash flow, AI Finance Management also instantly analyzes profitability by product line, customer segment, or region, and can run simulations such as “If raw material costs rise 15%, how much does that impact EBITDA?” giving CFOs more accurate forward planning.

Pillar 2: Zero Touch Accountant — An Accounting System That Barely Touches a Document

For accounting teams, the most time-consuming work is entering invoice data into the system, matching purchase orders, and fixing errors caused by manual entry. The Zero Touch Accountant concept uses AI on SAP to take over all of that work.

Real-World Example: Automated Invoice Reading with AI + OCR

Before AI

The accounting team receives 50–200 supplier invoices by email every day. Each one must be opened individually, entered into SAP, checked against the purchase order and goods receipt, and then posted. This process consumes one full-time employee’s entire day.

After AI on SAP

Invoices are automatically routed into SAP. AI reads the data via OCR, matches it against the PO and GR, verifies accuracy, and posts the entry without any human touch. If something doesn’t match, the system flags it and alerts a staff member to review only the problematic items.

GR/IR Reconciliation and Faster Period Close

GR/IR reconciliation the accounting team’s nightmare at month-end close is also aided by AI, which analyzes open balances, identifies why postings aren’t clearing, and recommends next steps for staff, instead of requiring line-by-line manual review. This significantly speeds up period close.

Pillar 3: Proactive Supply Chain — Spotting Problems Before They Happen

In supply chain management, most problems don’t appear out of nowhere they happen because no system is reading the warning signs. The Proactive Supply Chain AI use case on SAP shifts organizations from “reacting” to “predicting and preventing.”

Real-World Example: Forecasting Delivery Risk in Advance

Before AI

The procurement team only learns a supplier is running late after the delivery date has already passed, forcing a scramble for a fix usually expensive and disruptive to the production line.

After AI on SAP

AI analyzes each supplier’s delivery history, production conditions, and external factors, then provides a 2–4 week advance warning on which POs are at risk of delay. This lets the team line up a backup supplier or adjust the production plan before the problem occurs.

PR Consolidation — Combining Purchase Requests for Greater Negotiating Power

Another AI use case with clear impact is consolidating purchase requests from multiple departments within SAP (PR Consolidation), allowing the procurement team to negotiate with suppliers as a large-volume buyer rather than purchasing piecemeal — reducing costs and shortening lead times.

“What matters isn’t just knowing what AI can do, but designing AI use cases that match the organization’s actual pain points. When AI solves the right problem, it delivers real business results.”

— Sasithorn Sitthikraisorn, I AM Consulting

These three pillars of AI adoption aren’t a future concept they’re capabilities organizations can use today on SAP ERP. The advantage is that organizations already running SAP don’t need to invest in new infrastructure; they simply need to activate the capabilities already embedded in SAP Business AI and design use cases that match their real pain points.

This is exactly what I AM Consulting specializes in. We don’t just demonstrate what AI can do — we help organizations design AI adoption that works in practice, becoming a real driving force behind business decisions and operations.

Get a free consultation with an SAP expert > I AM Consulting

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What Is the SAP Business AI Platform?

The SAP Business AI Platform is SAP’s next-generation AI platform that brings together the capabilities of SAP Business Technology Platform (SAP BTP), SAP Business Data Cloud, and SAP Business AI into a single, unified platform. It enables organizations to build, integrate, extend, and govern AI across the enterprise with a comprehensive end-to-end approach.

Rather than simply providing tools to build AI, the SAP Business AI Platform is designed to help organizations create AI systems that understand business context, work with trusted business data, and securely connect across both SAP and non-SAP applications. This enables AI to deliver more accurate, relevant, and business-ready insights while maintaining enterprise-grade security, governance, and compliance.

Why Do Organizations Need an AI Platform for Business?

While many organizations have started adopting Generative AI, they often encounter critical challenges that limit its business value:

• AI lacks an understanding of internal business data and processes.
• Business data is fragmented across multiple systems, making integration difficult.
• Security, governance, and compliance are difficult to enforce consistently.
• AI-generated responses often lack transparency, making them difficult to verify or trace back to trusted sources.

Business AI Platform addresses these challenges by enabling AI to access trusted business data, understand business context, and operate within the organization’s security, governance, and compliance frameworks. As a result, organizations can deploy AI that is not only more intelligent and accurate, but also secure, transparent, and ready for enterprise-wide use.

The Three Pillars of the SAP Business AI Platform

1. Build

SAP Business Technology Platform (SAP BTP) provides a unified development environment where developers and business users can build AI agents, automate workflows, and create business applications—all within a single platform.

At the core is Joule Studio, an AI-first development environment that supports low-code, no-code, and pro-code development. Integrated with SAP Integration Suite, it enables AI to seamlessly connect and orchestrate processes across both SAP and non-SAP systems, accelerating enterprise AI adoption while simplifying development.

2. Contextualize & Reason

What sets the Business AI Platform apart from general-purpose AI is its ability to understand business context.

Powered by SAP Business Data Cloud, the platform unifies trusted data from across the enterprise while preserving the relationships between customers, suppliers, business processes, and organizational rules. By providing AI with rich business context rather than isolated data, it enables more accurate insights, better decision-making, and more reliable business outcomes.

3. Govern

Successful enterprise AI requires more than powerful models—it demands strong governance. The SAP Business AI Platform provides comprehensive tools to manage AI agents throughout their entire lifecycle, from access control and policy enforcement to security, API management, and performance monitoring. This ensures that every AI application operates securely, transparently, and in compliance with organizational standards and governance requirements.

Use Case

The SAP Business AI Platform can be applied across a wide range of business scenarios, including:

• Building AI agents to support finance, procurement, and other business functions by answering questions and assisting with routine tasks.
• Analyzing sales data in real time to generate actionable insights and support faster decision-making.
• Automating workflows across SAP and non-SAP systems to streamline end-to-end business processes.
• Forecasting demand and optimizing supply chain planning using AI-driven predictive analytics.
• Developing AI-powered business applications that enhance employee productivity with intelligent assistance embedded into daily workflows.

Who Should Use the SAP Business AI Platform?

The SAP Business AI Platform is designed for organizations looking to adopt AI at an enterprise scale. It is particularly well suited for businesses that manage large volumes of data, operate across both SAP and non-SAP systems, or want to build AI agents that can securely integrate with real business processes while meeting enterprise security, governance, and compliance requirements.

Conclusion

The SAP Business AI Platform is an enterprise AI platform that brings together AI development, trusted business data, business context, and governance in a single platform. It enables organizations to build AI agents and intelligent business applications powered by real business data, securely connecting both SAP and non-SAP systems. With enterprise-grade security, scalability, and governance, it provides a strong foundation for organizations on their journey toward becoming an Autonomous Enterprise.

Source: SAP

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Without enterprise-wide adoption and measurable business outcomes, organizations inevitably start asking the same question: Was our AI investment really worth it?

Mr. Boonthor Suriyabuncherd, Deputy Managing Director of I AM Consulting Co., Ltd., shared that successful AI adoption requires more than implementing new technologies. Organizations should evaluate their AI initiatives through an AI Adoption Framework, also known as the 3R Framework, which consists of:

1. Relevance – Ensure AI initiatives create measurable value that aligns with your organization’s strategic business objectives.

AI initiatives should clearly demonstrate how they will create tangible business value. Whether the goal is to improve operational efficiency, enhance customer experiences, or reduce operating costs, the expected outcomes should be measurable and aligned with the organization’s strategic objectives.

2. Reliable – Build AI on accurate, trusted, and high-quality data.

The effectiveness of AI depends on the quality of the data it is built upon. Organizations should ensure that the data used for analysis and decision-making is accurate, reliable, and representative of their business context. Whether it is sales data, demand forecasts, or operational data, trusted data enables AI to generate more accurate insights and recommendations that can be confidently applied to real-world business decisions.

3. Responsible – Adopt AI responsibly with strong governance, transparency, and ethical principles.

Responsible AI adoption requires strong data governance, security, and risk management. Organizations must ensure that sensitive data is protected and handled in compliance with privacy regulations, cybersecurity standards, and applicable legal requirements. Establishing clear AI governance policies and ethical guidelines helps ensure that AI is deployed transparently, responsibly, and in accordance with corporate compliance standards.

AI for Enterprise Software

As a leading SAP implementation and digital transformation partner, I AM Consulting believes that the future of Enterprise AI extends far beyond being a productivity tool. AI should empower organizations to transform their operations and progress toward becoming a truly Autonomous Enterprise—where intelligent systems can automate processes, support data-driven decision-making, and continuously optimize business operations with minimal human intervention.

Most recently, SAP introduced Joule, its AI copilot for the enterprise, designed to operate within real business contexts. By connecting enterprise data, business processes, and applications across the organization, Joule enables employees to make faster, more informed decisions while driving intelligent automation at scale. This allows organizations to improve productivity, streamline operations, and accelerate their journey toward an Autonomous Enterprise.

Joule stands apart from conventional AI assistants in the market with several key differentiators, including:

1. Deep Understanding of Business Context Through SAP Data

Unlike general-purpose AI, Joule operates on your organization’s existing SAP business context rather than publicly available data. By leveraging trusted enterprise data, it delivers more accurate, context-aware recommendations and intelligent automation tailored to your business. Enterprise data remains under your organization’s control and is not used to train external large language models (LLMs), helping ensure security, privacy, and compliance.

2. Works Seamlessly Across SAP and Non-SAP Systems

Joule connects business processes across Finance, Supply Chain, Human Resources, Procurement, and Operations, while extending beyond the SAP ecosystem. Through integrations with Microsoft 365 Copilot, the Agent2Agent (A2A) Protocol, and Model Context Protocol (MCP) servers, Joule enables seamless collaboration across SAP and non-SAP applications. This allows AI to orchestrate end-to-end business processes without being confined to a single platform or technology stack.

3. Scale with Confidence Through Built-in Governance

Joule leverages existing SAP access controls and authorization models to protect enterprise data, eliminating the need to rebuild permissions from scratch. This allows IT teams to scale AI adoption across departments more efficiently while maintaining robust security, governance, and compliance. With built-in auditability and policy enforcement, organizations can confidently expand AI within a trusted and controlled environment.

How Does Joule Empower Every Business Function?

Joule offers more than 2,100 AI skills designed to support the day-to-day work of every business function. According to SAP Discovery Center, organizations can realize measurable productivity gains across the enterprise, including:

Overall, routine day-to-day tasks can be completed up to 90% faster, while productivity for complex end-to-end business processes can increase by up to 75%, according to SAP.

The Road to Scalable Enterprise AI Investment

SAP defines a three-step journey to unlock the full value of Joule:

Step 1 – Supercharge Human Performance

Embed AI into employees’ daily workflows without disrupting existing business processes. Teams continue working within their familiar SAP applications while Joule provides real-time insights, recommends the next best actions, and supports faster, more informed decision-making based on live business data.

Step 2 – Break Down Silos

Joule’s AI agents collaborate seamlessly across business functions, connecting Finance, Procurement, Human Resources, Supply Chain, and other departments. By sharing business context and coordinating workflows across teams, Joule eliminates information silos, reduces handoff delays, and ensures that critical data flows smoothly throughout the organization.

Step 3 – Scale with Agility

Rapidly scale AI across the enterprise by building on SAP’s existing security, governance, and compliance framework. By leveraging established access controls and enterprise policies, organizations can accelerate AI deployment while minimizing complexity, reducing risk, and maintaining a secure, well-governed environment.

Successful AI adoption is not driven by technology alone. It requires a deep understanding of business processes, trusted enterprise data, and effective organizational change management. Organizations that align these three elements are far more likely to realize measurable business value and achieve AI adoption at scale.

At I AM Consulting, we combine deep SAP expertise with extensive experience in enterprise transformation to help organizations build a strong foundation for AI adoption. From defining an AI strategy and identifying high-value use cases to implementation, governance, and enterprise-wide scaling, we partner with our customers at every stage of their journey toward becoming an Autonomous Enterprise.

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AI has become a tool that many organizations are beginning to adopt for their daily operations, whether for information retrieval, report summarization, or basic data analysis. However, most general AI solutions primarily rely on publicly available information from the internet and may not fully understand the unique context of each organization. This is why SAP developed SAP Joule as an AI ecosystem designed specifically for enterprises.

What Is SAP Joule, and How Does It Differ from General-Purpose AI?

Joule is an AI assistant embedded within the SAP ecosystem and directly connected to an organization’s real business data. It can access and understand information across Finance, Procurement, HR, Supply Chain, and other day-to-day business workflows, enabling it to provide context-aware insights and recommendations based on actual business operations.

As a result, when Joule provides insights or supports decision-making, it is not relying solely on general external information. Instead, it leverages your organization’s actual business data, delivering recommendations and analysis that are more relevant, accurate, and aligned with real business operations.

Another key concern for many organizations is data security. Since many general-purpose AI solutions operate on public models, businesses often have concerns about the potential risk of sensitive information being exposed or unintentionally shared outside the organization.

In contrast, Joule is designed to operate within the SAP ecosystem, as mentioned earlier, and is built with enterprise security and governance at its core. This enables organizations to better manage user permissions, control data access, and maintain compliance with security and governance standards more effectively.

What Does SAP Joule Offer?

Overall, SAP Joule can be categorized into five key components:

• SAP Joule for Business
• SAP Joule for Developers
• SAP Joule for Consultants
• Joule Agents
• Joule Studio

Each component serves a distinct purpose and is designed to address different organizational pain points, helping businesses improve productivity, streamline processes, and enhance decision-making across various functions.

1. Joule for Business

Joule Base is the foundational layer of SAP Joule, included with many SAP cloud subscriptions. It serves as a centralized AI assistant for employees across the organization, helping users access information, complete tasks more efficiently, and interact with SAP applications through natural language.

The core idea behind Joule Base is to make SAP applications more intuitive and user-friendly. Instead of navigating complex ERP interfaces filled with menus, transactions, and multiple steps, users can interact with the system more naturally through conversational language, making everyday tasks faster and easier to complete.

Users can ask questions, search for information, execute tasks, or request insights from the system using natural language. For example:

• Summarize the latest sales report
• Create a purchase requisition
• Approve a leave request
• Check customer information
• Track the status of ongoing workflows

Instead of navigating through multiple screens or remembering numerous transaction codes, users can simply interact with the system using natural language to complete tasks more efficiently.

One of Joule’s key strengths is that it does more than simply retrieve information. It is designed to understand the context of both the user and the task at hand, enabling faster decision-making, reducing repetitive work, and making business information more accessible to employees across the organization.

2. SAP Joule for Developers

SAP Joule for Developers is a set of AI-powered capabilities embedded within SAP Build and ABAP through Joule, designed to accelerate the development of applications, extensions, and custom business solutions.

Joule helps developers work more efficiently throughout the entire development lifecycle—from design and development to testing and system optimization—while ensuring alignment with SAP standards and best practices.

Key capabilities of SAP Joule for Developers include:

• Accelerates the development of SAP applications and extensions.
• Automatically generates application components based on SAP development frameworks such as CAP (Cloud Application Programming Model) and RAP (RESTful Application Programming Model).
• Speeds up the creation of business processes and low-code artifacts within SAP Build, enabling developers and citizen developers to deliver solutions more efficiently.
• Enhances the quality of ABAP, Java, and JavaScript code through AI-powered assistance for code discovery, analysis, refactoring, and explanation, helping developers improve maintainability and development efficiency.
• Simplifies the migration and maintenance of legacy custom code, enabling organizations to modernize applications more efficiently and reduce the effort required to manage existing developments.

3. SAP Joule for Consultants

SAP Joule for Consultants is a premium capability of Joule designed to provide expert-level guidance for cloud transformation initiatives, including the design, implementation, and optimization of SAP solutions.

It enables teams to access more accurate, context-aware guidance throughout the project lifecycle, helping accelerate SAP implementations, reduce reliance on external expertise, and collaborate more effectively with partners and system integrators.

Key capabilities of SAP Joule for Consultants include:

• Reduces the time spent searching for answers, documentation, and relevant project information.
• Provides guidance on system configuration, solution design, and implementation decisions, helping consultants adopt SAP-recommended approaches and best practices.
• Empowers internal IT teams to manage and deliver more complex SAP projects with greater confidence and efficiency.
• Enhances the knowledge and insights of internal IT teams, enabling more effective collaboration with consulting partners and system integrators throughout the project lifecycle.

4. Joule Agents

Joule Agents are enterprise-scale AI agents designed to automate complex workflows that span multiple functions, teams, and business processes. They leverage SAP’s deep business process expertise embedded within the platform, enabling organizations to execute tasks more intelligently and efficiently across the enterprise.

The capabilities of Joule Agents go far beyond simple task-by-task automation. They can reason, analyze, and orchestrate end-to-end business processes, enabling AI to understand real business context and execute automation more intelligently and accurately across functions such as Finance, Supply Chain Management, Human Resources, and Procurement.

Key capabilities of Joule Agents include:

• Orchestrates workflows that span multiple departments and require analysis, coordination, or decision-making across different business functions.
• Drives intelligent automation through AI agents built on SAP’s deep expertise in business processes, enabling more accurate and context-aware execution of complex operational tasks.
• Supports collaboration among multiple AI agents with specialized expertise, allowing them to work together to execute complex business processes more effectively.
• Enables organizations to scale Agentic AI across the enterprise while ensuring enterprise-grade security, governance, and compliance requirements are built in from the start.

5. Joule Studio

Joule Studio is a no-code and low-code toolkit within SAP Build that enables organizations to create, customize, and manage AI agents and AI skills more easily, ensuring they align with their unique business processes and operational requirements.

A key advantage of Joule Studio is its ability to help organizations rapidly build custom AI solutions connected to their real business data, documents, and process-specific context. At the same time, it provides enterprise-grade security, governance, and compliance capabilities to support large-scale business adoption.

Key capabilities of Joule Studio include:

• Build specialized Joule Agents tailored to an organization’s unique business challenges, processes, and operational requirements.
• Extend SAP’s prebuilt AI agents with custom logic, workflows, and business rules tailored to each organization’s unique operating model and business processes.
• Connect both SAP and non-SAP systems within AI-driven workflows, enabling AI agents to orchestrate processes seamlessly across the enterprise.
• Combines AI-driven analysis and decision-making with organization-defined business rules, enabling intelligent automation while maintaining control, consistency, and compliance with established processes.
• Provides centralized management of AI agents and AI skills, offering visibility into agent activities while enabling organizations to effectively govern data privacy, security, and compliance requirements.

Frequently Asked Questions (FAQ)

Q: How is SAP Joule different from ChatGPT or Microsoft Copilot?

A: The key difference is that SAP Joule operates on an organization’s actual business data within SAP systems, rather than relying primarily on publicly available information from the internet. This allows Joule to better understand business processes, data structures, and the unique context of each organization, enabling more relevant and actionable insights than general-purpose AI tools.

In addition, SAP Joule is designed with enterprise-grade security, governance, and compliance capabilities from the ground up. Organizations can more easily manage data access permissions, maintain control over sensitive information, and reduce the risk of data exposure while leveraging AI across their business operations.

Q: Can organizations still using SAP ECC use Joule?

A: SAP Joule is primarily designed for SAP cloud environments, including S/4HANA Cloud and SAP Business Technology Platform (BTP). Organizations currently running SAP ECC would typically need to migrate to S/4HANA Cloud to take full advantage of Joule’s capabilities. As a result, access to SAP Joule is often considered one of the key business drivers that strengthens the value proposition of an S/4HANA transformation and cloud migration strategy.

SAP Joule = An AI Ecosystem for Enterprises

Conclusion

SAP Joule is far more than a chatbot or a traditional AI assistant. It is a comprehensive AI ecosystem for enterprises, spanning everyday employee productivity, enterprise-scale workflow automation, custom AI agent development, and expert support for SAP projects across the entire transformation journey.

By combining business data, process intelligence, AI agents, and enterprise-grade governance, SAP Joule enables organizations to unlock greater efficiency, make smarter decisions, and accelerate digital transformation at scale.

If your organization is exploring how to leverage AI within ERP systems or evaluating a migration to SAP S/4HANA Cloud to unlock the full potential of Joule, I AM Consulting is ready to help you assess your readiness and define the right transformation strategy.

Discover I AM InstaGROW for SAP GROW FAST Accelerate your journey to SAP S/4HANA Cloud with a proven implementation approach designed to help organizations adopt SAP best practices, reduce project complexity, and achieve faster time-to-value.

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Global technology leader SAP has also embraced this vision, officially introducing it at SAP Sapphire 2026.

I AM Consulting invites you to explore what the future of ERP will look like — and how it could transform the way your business operates.

What is the Autonomous Enterprise?

The Autonomous Enterprise is the future of business—where people set direction and AI executes, with governance at every step.

Move work up the value chain

Start with outcomes, not processes, by partnering with AI to remove busywork and apply human judgment where it creates the most value.

Run it all in real time

Move from reporting the past to executing what’s next with a unified, AI‑driven system that’s grounded in process knowledge and industry context and built to adapt in real time.

Build with total control

Build, run, and manage AI agents and apps on a governed foundation with built‑in security, accountability, and end‑to‑end control.

The 3 Core Pillars of the Autonomous Enterprise

1) Joule

Use a single, cohesive point of entry to seamlessly orchestrate data, workflows, and AI agents across SAP and non-SAP systems.

2) SAP Autonomous Suite

Operate on an AI‑enabled suite where agents and assistants run processes and people guide performance.​

Financial Management
Finance that works for you. AI continuously executes and improves planning, close, treasury, and compliance.

Spend Management
Take control of spending while AI constantly refines sourcing, procurement, contracts, and payments.

Supply Chain Management
Keep your supply chain moving while AI continually optimises planning, manufacturing, logistics, and inventory.

Human Capital Management
Build a workforce ready for what’s next while AI steadily improves hiring, skills development, and workforce planning.

Customer Experience
Delight customers at every touchpoint with AI that constantly optimises marketing, commerce, sales, and service

Industry
Enable autonomous processes with AI that executes end-to-end across the most critical industry domains

3) SAP Business AI Platform

Build, contextualise, reason, and govern AI agents on a platform that combines deep process context, unified data, and models built for business.

From the concept of the SAP Intelligent Enterprise — where AI was introduced to help organizations work smarter — SAP is now taking the next step toward the “SAP Autonomous Enterprise.”

An AI-driven ERP that can not only support decision-making, but also autonomously execute business processes under human governance.

This is more than just an evolution of AI capabilities. It represents a major transformation in how organizations operate — from day-to-day operations to strategic decision-making.

Prepare your organization for the future with I AM Consulting, one of Thailand’s leading consulting firms specializing in business, technology, and innovation, ready to help drive your organization’s growth in the AI era.

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On May 12, 2026, at SAP Sapphire in Orlando, USA, SAP unveiled a new direction that could change the future of ERP as we know it. And here are the 4 key takeaways from the event, summarized by I AM Consulting!

SAP clearly announced that Joule, which previously served as a “copilot” or AI assistant, is evolving into an Autonomous Agent capable of executing end-to-end business processes on its own.

1) SAP Business AI Platform: Unifying three platforms into one integrated foundation to power the future of the Autonomous Enterprise.

SAP announced the integration of BTP (Business Technology Platform), Business Data Cloud (BDC), and Business AI into a single unified platform called SAP Business AI Platform.

One of the most interesting highlights is SAP Knowledge Graph.

It creates a “map” of business entities, processes, and relationships across the customer’s SAP landscape, allowing AI agents to work beyond raw data and truly understand the business context behind that information.

SAP also introduced Joule Studio.

A tool for building AI Agents on SAP systems, supporting both no-code development for business teams and pro-code capabilities for developers.

2) SAP Autonomous Suite: AI that can independently execute end-to-end business processes from start to finish.

50+ Joule Assistants across five core business functions.

SAP introduced more than 50 Joule Assistants covering all major business functions, including Finance, Supply Chain, Procurement, Human Capital Management, and Customer Experience. Each Assistant orchestrates over 200 specialized agents to complete end-to-end business processes autonomously.

One of the clearest examples is the Autonomous Close Assistant, designed specifically for finance and accounting teams. Financial closing processes that traditionally take weeks can now be shortened to just a few days, with AI handling the entire workflow — from posting journal entries and performing reconciliations to resolving errors and completing the financial close — without requiring people to manually execute every step.

Industry AI — Specialized AI solutions tailored for seven key industries.

SAP introduced Industry AI, expanding AI capabilities into seven specialized industries by embedding industry-specific process logic, data models, and regulatory requirements directly into AI agents.

One of the examples presented at the event was SAP’s collaboration with RWE, one of Europe’s largest energy companies, to reduce unplanned downtime for offshore wind turbines. Through Autonomous Asset Management, AI analyzes historical incident data and automatically generates work orders along with proven solutions based on successful resolutions from other locations.

3) Joule Work — A new UX that transforms how people interact and work with SAP.

SAP introduced Joule Work, a completely redesigned user experience. Instead of navigating through multiple applications and manually entering data across different screens, users simply describe the desired outcome to Joule, and it will automatically orchestrate the appropriate workflows, data, and agents to complete the task.

Joule Work is designed to operate proactively, delivering relevant insights and handling routine tasks in the background. It supports desktop, mobile, and voice interactions across both SAP and non-SAP systems.

4) STRATEGIC PARTNERSHIPS: Anthropic (Claude) becomes SAP’s official AI foundation model partner.

SAP selected Anthropic’s Claude as the foundation model for Joule Agents across HR, Procurement, and Supply Chain — making it one of the most significant partnerships announced at the event.

Platform and Suite Partnerships

Beyond Anthropic, SAP also announced several additional platform partners, including:

– Amazon Web Services for zero-copy data integration between SAP Business Data Cloud and Amazon Athena

– Google Cloud and Microsoft for bidirectional agent interoperability

– Mistral AI and Cohere for sovereign model options running on SAP infrastructure

– n8n for visual AI workflow orchestration within Joule Studio

– NVIDIA for securing the runtime environment of Joule Studio

– Parloa for bringing AI agents into SAP Service Cloud

How Should Thai Organizations Prepare?

For organizations still running SAP ECC

SAP is not completely excluding ECC and SAP S/4HANA on-premise customers from AI capabilities. However, access will be more limited, and organizations will need to demonstrate a clear roadmap toward Cloud ERP adoption in order to unlock broader next-generation AI innovations.

For organizations already using RISE with SAP or SAP GROW

The technology foundation may already be in place, but the next critical step is defining an AI Activation Roadmap — identifying which business processes should deploy Joule Assistants first.

Organizations should prioritize use cases with clear and measurable ROI, such as Financial Close or Procurement Automation, where AI can quickly demonstrate operational impact, efficiency gains, and faster decision-making.

SAP is redefining ERP in what could be the most significant transformation in the company’s 50-year history.

SAP Sapphire 2026 was not just another annual feature announcement — it marked a clear vision for the future of ERP: systems capable of autonomously executing business processes without requiring humans to control every step.

If you would like to understand how ready your organization is for SAP AI and where to begin, the experts at I AM Consulting — specialists in business, technology, and innovation consulting — are ready to help.

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