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 10 Nov 2026 · 1,094 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
202 of 5,390 use cases match. 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 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.
Matching use casesnewest first
Machine Learning · Finance
AI-Powered Procurement Spend Analytics
Potential: MediumEffort: MediumSource: news.sap.com (opens in a new tab) · added 25 May 2026
Machine Learning · Finance
Procurement Spend Classification
Potential: MediumEffort: LowSource: sievo.com (opens in a new tab) · added 25 May 2026
Machine Learning · Finance
AI-Powered 4-Way Invoice Matching
Potential: HighEffort: MediumSource: hitconsultant.net (opens in a new tab) · added 20 May 2026
Machine Learning · Finance
Approval Workflow Routing Optimization
Potential: MediumEffort: MediumSource: shopify.com (opens in a new tab) · added 20 May 2026
Machine Learning · Finance
Duplicate and Fraudulent Invoice Detection
Potential: HighEffort: LowSource: rolandberger.com (opens in a new tab) · added 20 May 2026
Machine Learning · Finance
Intelligent Invoice-to-PO Matching
Potential: HighEffort: MediumSource: shopify.com (opens in a new tab) · added 20 May 2026
Machine Learning · Finance
Returns Fraud Detection in Retail
Potential: MediumEffort: MediumSource: appriss.com (opens in a new tab) · added 20 May 2026
Machine Learning · Finance
Upstream Overpayment Prevention for Services Spend
Potential: HighEffort: MediumSource: hitconsultant.net (opens in a new tab) · added 20 May 2026
Machine Learning · Finance
Duplicate Invoice and Payment Detection
Potential: HighEffort: LowSource: artsyltech.com (opens in a new tab) · added 18 May 2026
Machine Learning · Finance
Predictive Payment and Cash Discount Optimization
Potential: MediumEffort: MediumSource: news.sap.com (opens in a new tab) · added 18 May 2026
Machine Learning · Finance
Predictive Supply Disruption Detection
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 18 May 2026
Machine Learning · Finance
Procurement Spend Anomaly Detection
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 18 May 2026
Machine Learning · Finance
Accounts Payable Duplicate Invoice Detection
Potential: HighEffort: LowSource: money.rediff.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
AI-Powered Cash Application and Payment Matching
Potential: HighEffort: MediumSource: gaviti.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Anomaly Detection in Structured ERP Transactions
Potential: HighEffort: MediumSource: techcrunch.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Cross-Source Procurement Spend Intelligence
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Intelligent Duplicate Detection for Customer and Supplier Records
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Predictive Site Quality Risk Scoring
Potential: HighEffort: MediumSource: fiercebiotech.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Process Mining for Purchase-to-Pay Optimization
Potential: HighEffort: MediumSource: celonis.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Supplier Risk and Payment Default Prediction
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Supply Chain Risk Prediction for Pharma Inputs
Potential: HighEffort: MediumSource: pharmaphorum.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Three-Way Match Validation with AI Agents
Potential: HighEffort: MediumSource: fintechmagazine.com (opens in a new tab) · added 11 May 2026
Machine Learning · Finance
Duplicate Invoice and Payment Anomaly Detection
Potential: HighEffort: LowSource: artsyltech.com (opens in a new tab) · added 4 May 2026
Machine Learning · Finance
Intelligent Cash Application and Payment Matching
Potential: HighEffort: LowSource: dealhub.io (opens in a new tab) · added 4 May 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 in this selection
109 distinct sources in this selection.
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.
