Embedded AI
SAP Business AI
AI capabilities that SAP delivers directly in S/4HANA, SuccessFactors or Ariba. We activate and configure them and make them usable in your processes.
Focus
AI for SAP – pragmatic, secure, measurable.
We bring artificial intelligence to where your business data lives: in SAP. With SAP Business AI, Joule and custom models on SAP BTP – from the initial idea to the productive use case.
Three ways to AI in SAP
Use what SAP provides.
Build what sets you apart.
Saicon & Partner combines SAP know-how with AI expertise. We choose the right approach for every use case – and avoid isolated solutions.
AI copilot
Joule
SAP’s AI assistant understands questions in natural language and works across applications. We prepare the roles, data and authorizations it needs.
Custom AI solutions
SAP BTP · AI Core · Generative AI Hub
Where standard functionality is not enough, we develop tailored models and assistants based on your SAP data – securely connected, with controlled access to large language models.
Use case explorer
21 applications across seven business areas.
Which processes take up the most time in your organization? That is where the best AI use case begins.
AI-powered invoice processing
Incoming invoices are read, checked against the purchase order and goods receipt, and posted with a suggested account assignment.
SAP Document Information Extraction, S/4HANA
- Effort
- 2 of 3
- Impact
- 3 of 3
Anomalies in postings
Unusual postings, duplicates and fraud patterns are detected before they make it into the financial close.
SAP AI Core, S/4HANA Finance
- Effort
- 2 of 3
- Impact
- 2 of 3
Liquidity forecast
Cash forecasting based on payment behavior, open items and seasonality.
SAP Analytics Cloud, Predictive
- Effort
- 2 of 3
- Impact
- 3 of 3
Contract analysis
Generative AI summarizes supplier contracts, flags risks and compares terms and conditions.
Generative AI Hub on SAP BTP
- Effort
- 1 of 3
- Impact
- 2 of 3
Supplier risk score
Delivery reliability, quality and external signals produce a continuously updated risk score.
SAP Ariba, SAP AI Core
- Effort
- 2 of 3
- Impact
- 2 of 3
Purchase order proposals
Demand forecasts generate purchase order proposals that buyers simply approve.
S/4HANA, Predictive MRP
- Effort
- 2 of 3
- Impact
- 3 of 3
Demand forecasting
Sales forecasts based on machine learning instead of gut feeling – including promotions and weather.
SAP IBP, SAP Analytics Cloud
- Effort
- 3 of 3
- Impact
- 3 of 3
Inventory optimization
Dynamic calculation of safety stock per item and warehouse. Less tied-up capital, fewer stock-outs.
SAP IBP, S/4HANA
- Effort
- 2 of 3
- Impact
- 3 of 3
Delivery time prediction
Estimated arrival times based on historical data, so that customers receive reliable delivery dates.
SAP BTP, SAP TM
- Effort
- 2 of 3
- Impact
- 2 of 3
Email → sales order
Orders received by email or as PDF are recognized and created as sales orders in SAP.
SAP Document Information Extraction, S/4HANA SD
- Effort
- 2 of 3
- Impact
- 3 of 3
Quotation assistant
Generative AI drafts quotations based on customer history, prices and availability.
Generative AI Hub, SAP Sales Cloud
- Effort
- 2 of 3
- Impact
- 2 of 3
Churn early warning
Customers with declining activity are identified before revenue drops off.
SAP Analytics Cloud, Predictive
- Effort
- 2 of 3
- Impact
- 2 of 3
Predictive maintenance
Sensor data predicts failures, so maintenance takes place before the equipment goes down.
SAP Asset Performance Mgmt., SAP AI Core
- Effort
- 3 of 3
- Impact
- 3 of 3
Visual quality inspection
Image recognition inspects components on the line and reports deviations directly to SAP QM.
SAP AI Core, S/4HANA QM
- Effort
- 3 of 3
- Impact
- 2 of 3
Scrap root cause analysis
AI finds correlations between process parameters and scrap that remain invisible in spreadsheets.
SAP Datasphere, ML
- Effort
- 2 of 3
- Impact
- 2 of 3
Skill matching
Employee profiles are matched against project requirements – the right staffing in seconds.
SAP SuccessFactors, Generative AI Hub
- Effort
- 2 of 3
- Impact
- 2 of 3
HR self-service assistant
Employees ask the assistant about vacation, policies and forms – around the clock.
Joule, SAP SuccessFactors
- Effort
- 1 of 3
- Impact
- 2 of 3
Generating job profiles
Draft job ads and requirement profiles, worded consistently and with minimal bias.
Generative AI Hub
- Effort
- 1 of 3
- Impact
- 1 of 3
Ticket classification (AMS)
Support tickets are automatically categorized, prioritized and assigned to the right team.
SAP Solution Manager / Cloud ALM, AI Core
- Effort
- 1 of 3
- Impact
- 3 of 3
Custom code analysis for S/4HANA
AI explains legacy ABAP, finds dead code paths and suggests S/4HANA-compatible adjustments.
ABAP Test Cockpit, Joule for developers
- Effort
- 2 of 3
- Impact
- 3 of 3
Test automation
Generating test cases from process descriptions and running regression tests automatically.
SAP Cloud ALM, Tricentis
- Effort
- 2 of 3
- Impact
- 2 of 3
Effort and impact are typical estimates based on project experience; actual values depend on your data situation and system landscape.
AI readiness check
How ready is your company for AI?
Eight questions, two minutes. You immediately receive your maturity level across four dimensions and concrete next steps. The evaluation runs in your browser.
0/ 100
Your next steps
AI value calculator
What does automation deliver in your process?
Estimate the savings potential of a recurring process – such as invoice processing, order entry or ticket handling.
Estimated potential per year
–
–hours freed up for value-adding work
–full-time equivalents (FTE) relieved
Simplified example calculation (1,720 working hours per FTE per year), excluding project and license costs. In the initial consultation, we calculate with your actual figures.
Review the figures togetherApproach
Four steps to a productive AI use case.
Discovery workshop
Together, we identify processes with high volumes, clear rules and good data availability.
Prioritization & business case
Each use case is assessed in terms of value, effort and risk. You decide based on hard figures.
Proof of concept
A lean PoC with real data shows within a few weeks what works – and what does not.
Go-live & operations
Integration into SAP, user training, monitoring of model quality and scaling to further areas.
Responsible AI
Your data remains your data.
AI in business requires trust. That is why we plan every project in compliance with the GDPR and with the EU AI Act in mind.
- Processing in European data centers wherever possible
- SAP role and authorization concepts also apply to the AI
- Traceable results instead of a black box
- Human in the loop: people decide, AI prepares
FAQ
Frequently asked questions about AI and SAP
Do we need S/4HANA for AI?
No. Many use cases can also be connected to SAP ECC via SAP BTP. However, the latest embedded AI capabilities and Joule are built on S/4HANA and SAP cloud solutions. We show you what is already possible today and what the transformation additionally enables.
How quickly will we see results?
A focused proof of concept usually delivers reliable results with your real data within a few weeks. You then decide whether to move into production.
What happens to our data?
We rely on architectures in which your data remains under your control – with EU hosting, SAP authorizations and clear data processing agreements. For generative AI, we use access models in which your data is not used to train third-party models.
Will AI replace our employees?
AI takes over routine work such as capturing, checking and assigning. The decision remains with people. Our experience: teams gain time for customer contact, analysis and improvement.
What is the best way to get started?
With the AI readiness check on this page and a free initial consultation. After that, we usually recommend a half-day discovery workshop with business and IT.
