Business Flows · Knowledge Graph
AI use cases
Every week our AI Use Case Pioneer agent reads what vendors, analysts and practitioners publish about AI in operations. Each use case is mapped onto the Business Flows process model and rated by business potential and implementation effort. This page lets you explore the whole curated catalogue.
Curated content · Business Flows Knowledge Graph
This catalogue is drawn from the Business Flows Knowledge Graph, the curated library of end-to-end processes, SAP scope items, compliance obligations and AI accelerators behind our consulting work. Every use case links to the public source it was found in, so you can check it yourself. In the Business Flows Browser each one also shows its full description, the processes it accelerates and the regulations that apply to it.
Live from the knowledge graph · as of 11 Nov 2026 · 883 added in the last 30 days
5,390
AI use cases
10
AI technologies
8
process domains
499
public sources cited
222
linked to compliance obligations
Explore the catalogue
Showing all 5,390 use cases. Click a bar or a cell to filter.
Where to start: potential × effort
Business potential against implementation effort, as rated in the knowledge graph.
By AI technology
The technology that powers each use case.
By end-to-end process domain
Where in the Business Flows process model each use case applies.
A library that grows every week
Use cases added to the knowledge graph since the pipeline started.
Latest additionsnewest first
LLM + Analytics · Lead to Cash
Customer Segmentation and Clienteling Insights
Potential: HighEffort: LowSource: ainvest.com (opens in a new tab) · added 1 Jun 2026
LLM · Finance
Deep Agent Trajectory Evaluation for Decision Quality
Potential: MediumEffort: HighSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
Computer Vision · Finance
Deep Learning-Based Incoming Goods Inspection
Potential: HighEffort: MediumSource: roboticsandautomationnews.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Demand Forecasting for Luxury Merchandise
Potential: HighEffort: MediumSource: ainvest.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Recruit to Retire
Demand Forecasting for Medical Manufacturing
Potential: HighEffort: MediumSource: news-medical.net (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Demand Forecasting for Medical Supplies
Potential: HighEffort: MediumSource: finance.yahoo.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Recruit to Retire
Demand Forecasting for Resale Inventory
Potential: MediumEffort: MediumSource: retailtouchpoints.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Digital Worker for Customer Service Case Handling
Potential: HighEffort: MediumSource: markets.financialcontent.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Discretionary Merchandise Markdown Optimization
Potential: HighEffort: MediumSource: chainstoreage.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Finance
Duplicate Payment Detection in Accounts Payable
Potential: HighEffort: LowSource: artsyltech.com (opens in a new tab) · added 1 Jun 2026
Optimization · Source to Pay
Dynamic Price Elasticity Optimization
Potential: HighEffort: MediumSource: chainstoreage.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Dynamic Pricing and Discount Guardrails
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
IDP + LLM · Governance
Dynamic Tax Rate Update and Compliance Automation
Potential: HighEffort: MediumSource: apnews.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Plan to Fulfill
Emerging Designer Trend Detection
Potential: MediumEffort: MediumSource: ainvest.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Lead to Cash
Evidence-Based Process Improvement via Data Mining
Potential: HighEffort: MediumSource: retailtouchpoints.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Governance
Fraud Detection in Resale Submissions
Potential: MediumEffort: MediumSource: retailtouchpoints.com (opens in a new tab) · added 1 Jun 2026
LLM · Recruit to Retire
GenAI Candidate Screening and Job Matching
Potential: HighEffort: LowSource: mckinsey.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Governance
GenAI Earnings Call Insights Summarization
Potential: MediumEffort: LowSource: finance.yahoo.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
GenAI-Generated Product Descriptions for Resale Listings
Potential: HighEffort: LowSource: retailtouchpoints.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Generative AI Customer Service Agents
Potential: HighEffort: MediumSource: finance.yahoo.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Generative AI Customer Service Assistant
Potential: HighEffort: MediumSource: nielseniq.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Lead to Cash
Generative AI Process Insights Assistant
Potential: HighEffort: LowSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Generative AI Sales Email Drafting
Potential: HighEffort: LowSource: salesforce.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Generative Sales Email and Proposal Drafting
Potential: HighEffort: LowSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
Sourced, not generated
We don't invent use cases. Our agent extracts them from published material: vendor announcements, analyst research, case studies and the trade press. It records where each one was found. 5,365 of 5,390 entries link to a public source you can open and check. Each entry is then placed in the process model and rated for potential and effort.
- Found in a public source, with a link kept on every entry
- Mapped to the end-to-end process it accelerates
- Connected to the compliance obligations that apply
- Rated for business potential and implementation effort
Most-cited publishers
499 distinct sources.
The full picture is in the Business Flows Browser
Each use case comes with its description, the processes and SAP scope items it touches, the regulations that apply, and example tooling. It is all connected in one knowledge graph that you and your AI agents can query.
