SAP Community - SAP AI Services

Are premium AI features (require SAP AI Units) available to be tested on SF TDD instances?

2025-06-13T16:48:48.548000+02:00

For SAP partners, can they test and gain experience on premium AI features (such as AI-assisted writing, AI-assisted goal creation) on an SF TDD instance?

"SF TDD instance" refers to 8007218 | Cloud test and demo for SAP SuccessFactors HCM Business Package

If yes, do we the purchase SAP AI Units for production environment and will the quota be consumable on TDD instance?

If no, roughly when can this be available?

Thanks

change Backroundcolor for separate workspace

2025-07-07T08:44:15.602000+02:00

I have two environments in SAP, a test environment, an AI and a production workspace. Now I want to give each workspace a separate background color. Does anyone know how to do this?

Gemini API Integration Attempts and Current 404 Issue

2025-08-11T07:17:21.432000+02:00

Hi Developers,

We are encountering the following issue while integrating the Gemini model with SAP AI Core:

404 Not Found is returned when calling the Deployment ID at the root URL, even when using the correct orchestration payload.
The deployment URL has been verified to match exactly.
Gemini API is confirmed to be up and running, and tests using logs captured from network activity match the expected configuration.
Despite this, the API call consistently returns:
"The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again."

Could you please confirm the correct deployment details or orchestration URL for the Gemini deployment, or advise on a possible workaround so we can proceed?

Best regards,
Aditya Srivastav

Gemini API Integration

2025-08-11T07:37:51.276000+02:00

Hi Developers,

We are encountering the following issue while integrating the Gemini model with SAP AI Core:

404 Not Found is returned when calling the Deployment ID at the root URL, even when using the correct orchestration payload.

The deployment URL has been verified to match exactly.

Gemini API is confirmed to be up and running, and tests using logs captured from network activity match the expected configuration.

Could you please confirm the correct deployment details or orchestration URL for the Gemini deployment, or advise on a possible workaround so we can proceed?

Best regards,
Aditya Srivastav

What does this error mean in ISLM?

2025-08-15T17:46:40.441000+02:00

Hi All,

I'm trying to create an Intelligent Scenario in an on-prem S/4HANA 2023 dev system.

Can someone please be so kind to explain me how am I supposed to find out what exactly am I doing wrong, and how to fix this error? Is there any details to be found behind this super helpful error message?

Also I'm not able to find any documentation for these fields. What exactly do these mean and what are expected here. Can someone please point me to the appropriate documentation for these?

About: SAP Certified Associate - SAP Generative AI Developer

2025-08-21T07:59:54.645000+02:00

Hi,

I am learning the course [SAP Certified Associate - SAP Generative AI Developer].

My trial account is below:

I want to set up Generative AI Hub in SAP AI Core, But I can't find out the item [SAP AI Core] in the Entitlements.

Could you help me to resolve this problem?

Best Regards!

SAP, AI, and Cloud: A New Era of Enterprise Systems

2025-09-30T08:01:29.983000+02:00

SAP Today: A Technical Perspective

When we talk about SAP today, it’s no longer just about ERP. The platform now integrates with AI, machine learning, and cloud technologies. For example, SAP S/4HANA supports real-time analytics. Instead of waiting hours for batch reports, finance and operations teams can work with live data and speed up decision-making.

Integration is another key area. Many organizations run multiple systems: CRM, HR, supply chain, and more. SAP BTP (Business Technology Platform) provides a framework that lets these systems communicate. That reduces data duplication, cuts manual steps, and gives more reliable outcomes.

There is also a notable shift toward sustainability and compliance. SAP includes capabilities to track carbon footprints, manage ESG data, and meet global reporting standards. This is now a requirement in many industries, and the platform provides tools to handle the related complexity.

From a technical view, the migration path is important. Moving from ECC to S/4HANA is not just a technical upgrade it requires rethinking processes. Many organizations use the migration to automate workflows, add predictive analytics, or connect IoT devices to ERP. It is as much transformation as it is technology.

In short, SAP is evolving beyond an ERP backbone into a digital core covering analytics, integration, compliance, and automation. The convergence of SAP with AI and cloud-native apps will continue to deepen this role.

How Can Organizations Architect a Scalable Data Engineering Pipeline to Support Real-Time AI-Driven

2025-10-14T11:47:51.530000+02:00

How Can Organizations Architect a Scalable Data Engineering Pipeline to Support Real-Time AI-Driven Decision Making Across Multiple Domains?

Hello everyone,

I’m working on designing a data engineering pipeline that can support real-time AI analytics across multiple business domains, including marketing, operations, and supply chain. I want to ensure that our architecture is scalable, resilient, and compliant with data privacy regulations.

Specifically, I’m looking for insights on:

Data Ingestion & Streaming: What are the best practices for ingesting large-scale structured and unstructured data in near real-time? Which tools or frameworks are most effective for multi-source streaming pipelines?

Data Storage & Modeling: How can we efficiently store both batch and streaming data while maintaining a single source of truth for AI models? Are there recommended data lake or warehouse strategies?

Feature Engineering for AI: How can feature pipelines be automated and monitored to ensure high-quality inputs for machine learning models without introducing bias?

Real-Time Model Deployment: What architecture patterns (e.g., event-driven, micro-batching, or hybrid) best support real-time AI inference while minimizing latency?

Governance & Compliance: How do organizations ensure data privacy, lineage, and regulatory compliance while enabling agile AI experimentation?

Has anyone implemented a production-ready solution that addresses these challenges? I’d love to hear about architectural choices, tool recommendations, pitfalls, and lessons learned from real-world implementations.

SAP Generative ai certification

2025-10-16T16:37:54.114000+02:00

Please, anyone, guide me on old Sap generative AI certification.
How-to is helpful for SAP FI consultants.

SAP Access Management Use Cases can be enabled by SAP Gen AI

2025-10-17T16:39:58.752000+02:00

SAP Access Management Use Cases can be enabled by SAP Gen AI

1. Real-Time SoD Conflict Detection
Use Case: Instantly identify Segregation of Duties (SoD) conflicts for any user.
Example: “What conflicts exist for user Jacob?”
Benefit: Immediate, accurate conflict analysis.

2. Risk-Based Role Review
Use Case: Review roles based on actual risk exposure and usage.
Example: “Show me users with SOD risk conflicts”.
Benefit: Prioritize remediation based on real impact, not theoretical risk.

3. Usage-Based Role Optimization
Use Case: Identify unused roles or transactions to streamline access.
Example: “Who has Z_FB02 but never used FB02?”
Benefit: Reduce access footprint and license cost by removing unused permissions.

4. Impact Simulation for Role Changes
Use Case: Simulate the effect of removing a transaction or role.
Example: “If I remove FB02 from Z_FB02, who else is affected?”
Benefit: Avoid unintended disruptions by previewing changes.

5. Alternative Role Suggestions
Use Case: Recommend safer role alternatives.
Example: “What alternative roles could work instead of Z_FB02?”
Benefit: Accelerate remediation with validated, low-risk role options.

6. Executive Risk Reporting
Use Case: Explain access risks in business terms to leadership.
Example: “Explain our P2P risks to the CFO”
Benefit: Translate technical risks into business impact scenarios (e.g., fraud potential).

7. Visual Risk Mapping
Use Case: Generate visualizations of risk across business processes.
Example: “Create a visualization of the risk in the process flow”
Benefit: Improve stakeholder understanding and audit readiness.

8. Automated Audit Response
Use Case: Generate audit-ready reports and remediation plans.
Example: “Generate a slide deck for our SoD remediation progress”
Benefit: Save time and ensure completeness in compliance reporting.

9. Access Governance Across Hybrid Landscapes
Use Case: Manage access across on-premises and cloud SAP systems.
Example: “Show SoD violations across Cloud SAP S4 Hana systems and ECC systems”
Benefit: Unified view of access risks across environments.

10. Token-Efficient AI Conversations
Use Case: Enable deep AI reasoning without exceeding context limits.
Example: “Summarize top 5 risks by transaction volume”
Benefit: Fast, cost-effective AI interactions using pre-analyzed data.

🧭 Strategic Shift for Security Teams
Instead of being data gatherers, teams become strategic risk managers:
Focus on decision-making, not data extraction.
Use AI to triage, simulate, and remediate access risks.
Maintain audit readiness with minimal manual effort.

Generative AI Powered IAM Business Role Augmentation (GAIRA)

2025-10-17T16:43:15.834000+02:00

Generative AI Powered IAM Business Role Augmentation (GAIRA) is a transformative concept for modern enterprises, shifting Identity and Access Management (IAM) from manual, reactive processes to a proactive, intelligent, and efficient system.

Limitations of traditional IAM include:

- Manual Provisioning: Managing user accounts and privileges can be time-consuming and error-prone, particularly in large organizations.
- Inflexible Security: Rule-based systems often lack the context needed to detect subtle, behavioral-based anomalies indicative of modern threats, such as insider risks.
- Compliance Burden: The manual nature of access reviews and audit trail generation drains resources and struggles to keep pace with regulatory changes.
- Subpar User Experience: Slow access request workflows can frustrate users and hinder productivity.

GAIRA addresses these challenges by integrating generative AI into the four pillars of IAM:

1. Adaptive Authentication
- Risk-Based Access: GAIRA enables continuous, risk-based authentication by analyzing user behavior, location, and device in real-time. For instance, a login attempt from an unusual location could trigger additional verification steps.
- Frictionless Security: This dynamic security approach balances convenience and trust, enhancing security without burdening trusted users.

2. Intelligent Authorization
- Automated Role Management: Generative AI analyzes historical access data and user roles to recommend optimal role assignments, significantly reducing manual effort and errors.
- Contextual Access Recommendations: For access requests needing approval, GAIRA provides context-rich insights based on peer-group comparisons and historical outcomes, facilitating faster, informed decisions.

3. Streamlined Administration
- Lifecycle Automation: GAIRA automates the entire user lifecycle, from onboarding to offboarding, dynamically assigning and removing access rights based on predefined policies and roles.
- Enhanced User Experience: Users can interact with the IAM system using natural language via conversational AI interfaces, improving productivity and reducing the burden on IT help desks.

How is Joule consumption measured and what are the overage costs? Body:

2025-10-22T21:52:19.556000+02:00

Hello,

We recently activated SAP Joule for one of our customers and we are trying to clearly understand how consumption and overage are measured and billed.

In the contract, it states that if the usage exceeds the allocated amount, overage fees will apply and the customer will need to purchase additional AI Units. I have reviewed the SAP AI Services List and the Joule Base Entitlement Supplement, but I still have some open questions:

How can we check the total number of messages (requests) included in the base entitlement for Joule?
How is the cost per additional message or AI Unit calculated when the limit is exceeded?
Where can we monitor consumption in real time (e.g., via cockpit, dashboard, or any other tool)?

Any guidance or documentation that clarifies this would be greatly appreciated.

Thank you in advance for your help!

Best Practices for Building a Marketplace App Using SAP Cloud Platform

2025-10-30T06:54:13.951000+01:00

Hi everyone,

I’m currently exploring how to build a marketplace application (for products, services, or B2B solutions) using the SAP Cloud Platform, and I’d love to get insights from those who’ve worked on similar projects.

Specifically, I’m looking to understand:

Best practices for designing and developing a scalable marketplace on SAP Cloud Platform
How to effectively integrate SAP services (like SAP BTP, SAP Integration Suite, or SAP Fiori)
Recommended approaches for security, authentication, and user management
Tips for handling multi-vendor onboarding, payments, and product listings
Suggestions on performance optimization and maintaining smooth user experience
Any tools, frameworks, or extensions within SAP that make the development process easier

If you’ve built or contributed to a marketplace project on SAP, I’d really appreciate hearing about your lessons learned, challenges, and what worked best in your case.

Thanks in advance to anyone willing to share their experience or technical guidance!

Best Practices for Building a Marketplace App Using SAP Cloud Platform

2025-10-30T06:54:28.745000+01:00

Hi everyone,

Specifically, I’m looking to understand:

Best practices for designing and developing a scalable marketplace on SAP Cloud Platform
How to effectively integrate SAP services (like SAP BTP, SAP Integration Suite, or SAP Fiori)
Recommended approaches for security, authentication, and user management
Tips for handling multi-vendor onboarding, payments, and product listings
Suggestions on performance optimization and maintaining smooth user experience
Any tools, frameworks, or extensions within SAP that make the development process easier

If you’ve built or contributed to a marketplace project on SAP, I’d really appreciate hearing about your lessons learned, challenges, and what worked best in your case.

Thanks in advance to anyone willing to share their experience or technical guidance!

Why Choose SAP Business One Over Traditional ERP for SMEs?

2025-11-03T07:28:27.948000+01:00

Why Choose SAP Business One Over Traditional ERP for SMEs?

Article Teaser:
Small and mid-sized businesses often struggle with large ERP systems built for big corporations. SAP Business One offers a leaner, smarter alternative designed specifically for SMEs. But what makes it stand out? Let’s explore the differences and why it often wins.

A Simple View: Traditional ERP vs SAP Business One

Traditional ERPs are powerful but they come with high cost, long setup time, and heavy processes. For many SMEs, this means delays and overhead.

SAP Business One is built for smaller operations. It connects finance, sales, inventory and operations in one system. It supports on-premise or cloud deployment. :contentReference[oaicite:0]{index=0}

Key Advantages for SMEs

Speed and Cost-Efficiency: SAP Business One uses fewer resources to deploy and maintain. SMEs can start faster and without heavy budgets.
Built-In Modules for Core Functions: Finance, CRM, inventory, production and reporting all in one system. This reduces silos and errors.
Real-Time Insights and Reporting: Leaders make decisions quickly based on live data, not just past reports.
Scalability and Flexibility: Though built for SMEs, the system grows with you adding users or modules as needed.

When Traditional ERP Still Makes Sense

If your business is very large, highly global, or has ultra-complex processes, a full enterprise ERP might still be the right choice. But for most SMEs needing speed, clarity and cost control, SAP Business One hits the balance.

Practical Example

Imagine an SME with multiple warehouses, global sales, and service calls. With SAP Business One you get:

Visible inventory across locations.
Sales orders are linked directly to stock and deliveries.
Finance sees profit by product, region, or season in a few clicks.
Compliance and audits are easier because data is in one system.

Instead of juggling spreadsheets and multiple tools, everything lives in one system made for your size.

Conclusion

For SMEs seeking a business system that delivers strength without the overhead of full enterprise ERP, SAP Business One offers a compelling option. It connects core functions, gives live data to decision-makers, scales with growth, and keeps costs in check.

Exploring AI in the ERP Ecosystem – Especially in the SAP FICO Space

2025-11-11T21:53:22.662000+01:00

Hi Everyone,

I wanted to start an open discussion on how Artificial Intelligence (AI) is shaping the ERP ecosystem, especially in the SAP FICO area.

We all can see that automation and intelligence are becoming core to financial operations — from predictive accounting to intelligent reconciliations, cash forecasting, anomaly detection, and even automated decision support.

But I’m curious to hear from everyone here:

How do you see AI blending with traditional FICO processes?
What are the most promising areas for AI-driven improvements in Finance and Controlling?
Are there real examples where AI has already made a visible impact in your projects?

No specific questions here — just an open space for sharing ideas, thoughts, experiences, and even challenges you’ve faced while exploring or implementing AI capabilities in ERP or FICO.

Looking forward to hearing your perspectives and insights!

Best regards,
Eswar Nekkalapu

Hello, what about SAP IA JOULE?

2025-11-14T11:34:09.879000+01:00

Can a sap consultant get the SAP AI Joule?

error when trying to consume an an orchestration with gen_ai_hub

2025-12-18T17:11:33.721000+01:00

{  "message": "Error: AICoreV2Client.__init__() got an unexpected keyword argument 'client_type'"
}

in my response body I am getting this error while in the .env I have

# AI Core Settings

AICORE_CLIENT_ID=""

AICORE_CLIENT_SECRET=""

AICORE_AUTH_URL="/oauth/token"

AICORE_BASE_URL="/v2"

AICORE_RESOURCE_GROUP="default"

SAP Joule in Public cloud

2026-01-21T07:50:13.572000+01:00

Hi Team,

Need your inputs regarding SAP joule implementation.

We have many custom restrictions in timesheet. so, if we implement SAP joule and non-SAP user ask joule about the custom messages which they are receiving in time sheet. will Joule help with solution or some inputs.

Main concern is whether Joule supports for custom developments?

Many Thanks

SAP S4 EDI AI features

2026-02-17T12:23:10.149000+01:00

Is anyone using the S4 AI feature for EDI, would like to learn how it works. Any information and experience shared will be great.

Thank you.