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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

Access the full library

5,390

AI use cases

10

AI technologies

8

process domains

499

public sources cited

222

linked to compliance obligations

Explore the catalogue

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17 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.

17 use cases by business potential and implementation effort. Quick wins (high potential, low effort): 0.
High effortMedium effortLow effort
High potential550Quick wins
Medium potential250
Low potential000

By AI technology

The technology that powers each use case.

Machine Learning: 17

By end-to-end process domain

Where in the Business Flows process model each use case applies.

Lead to Cash: 9, Acquire to Decommission: 2, Finance: 2, Plan to Fulfill: 2, Recruit to Retire: 2

A library that grows every week

Use cases added to the knowledge graph since the pipeline started.

5,390 AI use cases by the week of 2026-11-09, up from 37 in the week of 2026-02-16.
5,390
2026-02-16 running total added per week2026-11-09

Matching use casesnewest first

  • Machine Learning · Acquire to Decommission

    Attention-Based Root Cause Explanation for Equipment Faults

    Potential: MediumEffort: Medium

    Source: nature.com (opens in a new tab) · added 9 Nov 2026

  • Machine Learning · Recruit to Retire

    Edge-Based Real-Time Asset Condition Monitoring

    Potential: MediumEffort: High

    Source: nature.com (opens in a new tab) · added 9 Nov 2026

  • Machine Learning · Lead to Cash

    Federated Learning for Privacy-Preserving Biomedical Model Training

    Potential: MediumEffort: High

    Source: nature.com (opens in a new tab) · added 9 Nov 2026

  • Machine Learning · Lead to Cash

    Predictive Maintenance for Rotating Equipment

    Potential: HighEffort: High

    Source: nature.com (opens in a new tab) · added 9 Nov 2026

  • Machine Learning · Plan to Fulfill

    Standardized Model Benchmarking for Reproducibility

    Potential: MediumEffort: Medium

    Source: nature.com (opens in a new tab) · added 9 Nov 2026

  • Machine Learning · Finance

    Virtual Cell Models for Preclinical Drug Toxicity Prediction

    Potential: HighEffort: High

    Source: nature.com (opens in a new tab) · added 9 Nov 2026

  • Machine Learning · Plan to Fulfill

    Bias Detection in Agricultural AI Models

    Potential: MediumEffort: Medium

    Source: nature.com (opens in a new tab) · added 12 Oct 2026

  • Machine Learning · Lead to Cash

    Demand Forecasting for Perishable Food Goods

    Potential: HighEffort: Medium

    Source: nature.com (opens in a new tab) · added 12 Oct 2026

  • Machine Learning · Lead to Cash

    Personalized Nutrition Product Recommendation

    Potential: HighEffort: High

    Source: nature.com (opens in a new tab) · added 12 Oct 2026

  • Machine Learning · Finance

    Predictive Crop Yield Forecasting for Procurement

    Potential: HighEffort: High

    Source: nature.com (opens in a new tab) · added 12 Oct 2026

  • Machine Learning · Lead to Cash

    Real-time In-line Yarn Production Monitoring

    Potential: HighEffort: Medium

    Source: nature.com (opens in a new tab) · added 21 Sept 2026

  • Machine Learning · Lead to Cash

    Neural Network-Based Combustion Performance Prediction

    Potential: HighEffort: High

    Source: nature.com (opens in a new tab) · added 27 Jul 2026

  • Machine Learning · Acquire to Decommission

    Predictive Maintenance for Burners and Furnaces

    Potential: HighEffort: Medium

    Source: nature.com (opens in a new tab) · added 27 Jul 2026

  • Machine Learning · Lead to Cash

    Sensor Anomaly Detection for Combustion Systems

    Potential: HighEffort: Medium

    Source: nature.com (opens in a new tab) · added 27 Jul 2026

  • Machine Learning · Lead to Cash

    AI-Driven Demand Forecasting for Spare Parts

    Potential: HighEffort: Medium

    Source: nature.com (opens in a new tab) · added 20 Jul 2026

  • Machine Learning · Recruit to Retire

    Intermittent Demand Prediction for Long-Tail SKUs

    Potential: MediumEffort: Medium

    Source: nature.com (opens in a new tab) · added 20 Jul 2026

  • Machine Learning · Lead to Cash

    Employee Attrition Prediction with Explainable AI

    Potential: MediumEffort: Medium

    Source: nature.com (opens in a new tab) · added 11 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

1 distinct sources in this selection.

nature.com: 17

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.