- Einleitung
- Erste Schritte
- Erstellen Sie auf einer beliebigen Canvas
- Erstellen Sie mit Fall
- Referenz (Reference)
- Definieren von Fallschlüsseln (System vs. extern)
- Erstellen von Task-E/A- und Write-Back-Verträgen
- Modellieren von primären und sekundären Phasen
- Auslösen eines Falls aus Data Fabric
- Implementieren von Personas und Berechtigungen auf Phasenebene
- Festlegen von SLAs und automatisierten Eskalationsregeln
- Konfigurieren einer Nacharbeitsschleife (Wiedereintritt)
- Konfigurieren und Testen des Case Manager-Agents (Vorschau)
- Erstellen Sie mit Flow
- Build with BPMN
- Betrieb
- Überwachung
- Optimieren
- Referenzinformationen
Flow use cases
Six processes built on the Flow canvas, from order intake to screening checks, with the nodes each one uses.
These processes are built on the Flow canvas. In each one, something comes in, an AI agent decides what to do, and APIs carry out the decision. They are examples, not step-by-step instructions.
Auftragsannahme und -anreicherung
What happens: an order or a sales lead arrives. An agent validates it, checks stock and the customer's credit over API, and creates the order in the enterprise resource planning (ERP) or customer relationship management (CRM) app.
You use: a connector trigger, HTTP Request, an Autonomous agent, a Decision, and connectors.
Antragstriage
What happens: a first notice of loss arrives, which is the first report of an insurance claim. An agent classifies its severity, checks the coverage against the policy system's API, and routes the claim to the right adjuster's queue.
You use: a connector trigger, an Autonomous agent, HTTP Request, a Switch to route by severity, and Queue tools.
Erfüllung der Service Desk-Anforderung
What happens: an employee asks for help, for example a password reset or access to an app. An agent reads the request, pulls the employee's context from the identity, IT service management, and human resources (HR) systems over API, decides what to do, and carries it out.
You use: an Autonomous agent or a Conversational agent (Preview), HTTP Request, and connectors. Build a chat agent workflow shows the chat version step by step.
Rechnungseingang
What happens: an invoice arrives as a document. An extraction step reads its fields, an agent checks them against the purchase order over API, and the invoice is posted when it matches.
You use: Extract (Preview), an Autonomous agent, HTTP Request, and a Decision.
Transaktionsabstimmung
What happens: APIs pull both sides of a transaction, for example the bank record and the ledger entry. When they don't match, an agent explains the difference and proposes a fix, and the process either applies the fix over API or hands it to a person.
You use: HTTP Request, an Autonomous agent, a Decision, and connectors.
Screening-Prüfung
What happens: a new customer signs up. An agent runs sanctions and adverse-media lookups over API, scores the result, and writes the score back to the customer record. Customers with a match are flagged for review.
You use: a connector trigger, HTTP Request, an Autonomous agent, and a Decision.
Zugehörige Seiten
- Your first Flow: build a working process on the Flow canvas.
- Knotenreferenz: Jeder Knoten, der in diesen Anwendungsfällen erwähnt wird.
- Choosing a canvas: build the same processes on the Case or BPMN canvas.