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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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12 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.

12 use cases by business potential and implementation effort. Quick wins (high potential, low effort): 0.
High effortMedium effortLow effort
High potential550Quick wins
Medium potential110
Low potential000

By AI technology

The technology that powers each use case.

Machine Learning: 12

By end-to-end process domain

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

Lead to Cash: 6, Finance: 2, Governance: 2, Idea to Market: 1, Source to Pay: 1

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 · Governance

    Cross-Institution Yield Comparison and Cash Sweeping

    Potential: HighEffort: High

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

  • Machine Learning · Lead to Cash

    AI-Driven Material Discovery and Polymer Design

    Potential: HighEffort: High

    Source: ey.com (opens in a new tab) · added 2 Nov 2026

  • Machine Learning · Lead to Cash

    AI-Powered Demand Forecasting for Chemicals Supply Chain

    Potential: HighEffort: Medium

    Source: ey.com (opens in a new tab) · added 2 Nov 2026

  • Machine Learning · Lead to Cash

    Intelligent Lead Generation and Nurturing Sequencing

    Potential: HighEffort: Medium

    Source: mckinsey.com (opens in a new tab) · added 19 Oct 2026

  • Machine Learning · Source to Pay

    Next-Best-Action Customer Personalization Engine

    Potential: HighEffort: High

    Source: mckinsey.com (opens in a new tab) · added 19 Oct 2026

  • Machine Learning · Finance

    AI-Accelerated Drug Target and Molecule Discovery

    Potential: HighEffort: High

    Source: mckinsey.com (opens in a new tab) · added 28 Sept 2026

  • Machine Learning · Idea to Market

    AI-Based Retrosynthesis Route Planning

    Potential: HighEffort: High

    Source: ey.com (opens in a new tab) · added 10 Aug 2026

  • Machine Learning · Finance

    Predictive Property Modeling for Formulation Screening

    Potential: HighEffort: Medium

    Source: ey.com (opens in a new tab) · added 10 Aug 2026

  • Machine Learning · Governance

    Sustainability Impact Prediction for New Compounds

    Potential: MediumEffort: Medium

    Source: ey.com (opens in a new tab) · added 10 Aug 2026

  • Machine Learning · Lead to Cash

    AI-Driven Collections and Credit Risk Scoring

    Potential: HighEffort: Medium

    Source: mckinsey.com (opens in a new tab) · added 8 Jun 2026

  • Machine Learning · Lead to Cash

    Predictive Maintenance for Chemical Plant Equipment

    Potential: HighEffort: Medium

    Source: ey.com (opens in a new tab) · added 20 May 2026

  • Machine Learning · Lead to Cash

    Generative AI for Molecule and Materials Discovery

    Potential: MediumEffort: High

    Source: mckinsey.com (opens in a new tab) · added 18 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

2 distinct sources in this selection.

ey.com: 6, mckinsey.com: 6

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.