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 · Lead to Cash
Autonomous Sales Development Agent
Potential: HighEffort: MediumSource: salesforce.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Finance
Autonomous Supply Disruption Response
Potential: HighEffort: HighSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Azerbaijani Language Customer Service Chatbot
Potential: HighEffort: HighSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Behavioral Customer Segmentation for Targeted Offers
Potential: HighEffort: LowSource: shopify.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Plan to Fulfill
Carbon-Aware AI Inference Scheduling
Potential: HighEffort: MediumSource: salesforce.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Centralized ML Experiment Tracking Portal
Potential: MediumEffort: HighSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
ChatGPT-Powered Conversational Shopping
Potential: HighEffort: MediumSource: chainstoreage.com (opens in a new tab) · added 1 Jun 2026
Optimization · Lead to Cash
Clinical Workforce Scheduling Optimization
Potential: MediumEffort: MediumSource: finance.yahoo.com (opens in a new tab) · added 1 Jun 2026
Computer Vision · Plan to Fulfill
Computer Vision for Visual Quality Inspection in API Facility
Potential: MediumEffort: HighSource: business-standard.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Source to Pay
Configurable Agent Spending Guardrails
Potential: HighEffort: LowSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Governance
Conformance Checking and Deviation Detection
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Governance
Consumer Sentiment Analysis for Retail Strategy
Potential: MediumEffort: LowSource: chainstoreage.com (opens in a new tab) · added 1 Jun 2026
LLM · Governance
Conversational AI Appointment Booking
Potential: MediumEffort: LowSource: retailtouchpoints.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Conversational AI Self-Service Assistant
Potential: HighEffort: MediumSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Lead to Cash
Conversational Business Intelligence Assistant
Potential: HighEffort: HighSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Conversational Decision Copilot for Operations
Potential: MediumEffort: MediumSource: news.sap.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Governance
Conversational Financial Research Assistant
Potential: MediumEffort: MediumSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Conversational HR Self-Service Agent
Potential: HighEffort: MediumSource: markets.financialcontent.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Conversational HR Support Agent
Potential: HighEffort: MediumSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
LLM · Lead to Cash
Conversational Sales Knowledge Retrieval
Potential: HighEffort: MediumSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Governance
Cross-Source Anomaly Detection in Finance
Potential: HighEffort: MediumSource: crn.com (opens in a new tab) · added 1 Jun 2026
LLM · Governance
Custom Blueprint-Based Financial Document Classification
Potential: MediumEffort: MediumSource: aws.amazon.com (opens in a new tab) · added 1 Jun 2026
Machine Learning · Lead to Cash
Customer Churn and Credit Risk Prediction
Potential: HighEffort: MediumSource: markets.ft.com (opens in a new tab) · added 1 Jun 2026
LLM + Analytics · Lead to Cash
Customer Journey Analytics for Retail Experience
Potential: MediumEffort: MediumSource: retailtouchpoints.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.
