Use Cases

AI in the process – structured by area. Filter by your focus.

AI Document Operations

Starting point

Large volumes of documents (invoices, contracts, orders) are captured, checked and entered into source systems manually.

Solution principle

AI classifies incoming documents, extracts relevant data, validates it against business rules and passes results to SAP or workflow systems.

Systems involved

SAP S/4HANA, DMS, email, workflow platforms

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Role of AI

Classification, data extraction and plausibility checks

Human control

Approval and correction by subject-matter users before handover to productive systems

Potential benefit

Shorter cycle times, less manual entry, transparent document processes

AI Project Intelligence

Starting point

Project and portfolio data is spread across tools, spreadsheets and reports. Status consolidation and risk detection take time.

Solution principle

AI consolidates project status from various sources, detects risks and dependencies and prepares management reports.

Systems involved

Project management tools, Microsoft 365, reporting systems

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Role of AI

Summarisation, risk detection and report preparation

Human control

Review and approval of reports by project owners

Potential benefit

Faster, better-founded decisions and more transparent portfolio steering

SAP-Integrated AI Processes

Starting point

AI applications need to read and write SAP data, but a stable, maintainable integration is missing.

Solution principle

AI applications are connected to SAP via clean interfaces (OData, REST, BTP) – clean-core oriented and operationally stable.

Systems involved

SAP S/4HANA, SAP BTP, Integration Suite, APIs

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Role of AI

Data enrichment, validation and automation within the SAP process

Human control

Subject-matter users review AI suggestions before posting or approval in SAP

Potential benefit

Stable, traceable integration without maintenance risk

AI-Enabled Field Operations

Starting point

Field service and operational teams capture data on paper or in isolated apps without connection to order systems.

Solution principle

A mobile app with AI-based photo and document analysis and direct connection to SAP orders and follow-up processes.

Systems involved

SAP order management, mobile app, Microsoft 365

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Role of AI

Image and document analysis and suggestions for follow-up processes

Human control

Review and confirmation of suggestions by staff before handover

Potential benefit

Less rework, faster capture and direct follow-up processes in SAP

AI for Business Operations

Starting point

Operational workflows between systems, email and Excel are manual, error-prone and hard to trace.

Solution principle

AI-powered workflow automation connects systems, data and subject-matter users in end-to-end processes with human-in-the-loop.

Systems involved

Workflow platforms, SAP, Microsoft 365, email

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Role of AI

Process automation, data validation and suggestion generation

Human control

Approval by subject-matter users at critical process steps

Potential benefit

Less manual work, transparent processes, shorter cycle times

AI Knowledge Assistants

Starting point

Company knowledge is distributed unstructured across documents, intranets and emails and is hard to access.

Solution principle

A secure RAG-based knowledge assistant makes company-specific content searchable and provides context-aware answers.

Systems involved

DMS, intranet, Microsoft 365, vector database

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Role of AI

Knowledge retrieval, summarisation and context-aware answers

Human control

Source attribution and traceability, approval by subject-matter users for critical content

Potential benefit

Faster knowledge access, less search effort, consistent answers

AI-Enhanced Reporting

Starting point

Management and specialist reports are assembled manually from distributed data sources and are often outdated.

Solution principle

AI consolidates data from various sources, generates reports automatically and enables natural-language follow-up analysis.

Systems involved

BI tools, SAP, databases, Microsoft 365

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Role of AI

Data consolidation, report generation and ad-hoc analysis

Human control

Review and approval of reports by subject-matter owners

Potential benefit

More current reports, less manual effort, faster decision basis