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Use this guide to set up AI for Process and build your first AI-powered workflow.

Prerequisites

  • Kore.ai account with AI for Process access.
  • Admin permissions for initial setup.
  • (Optional) API credentials for external integrations.

Access AI for Process

  1. Navigate to the Platform.
  2. Select AI for Process from the product menu.
  3. Choose or create a workspace.

Workspace Setup

Create a Workspace

Workspaces organize workflows, models, and users:
  1. Navigate to AdministrationWorkspaces.
  2. Click Create Workspace.
  3. Configure:
    • Name and description.
    • Default model settings.
    • Team access.

Invite Team Members

  1. Go to User Management.
  2. Click Invite Users.
  3. Assign roles:
    • Admin — Full workspace access.
    • Developer — Create and edit workflows.
    • Reviewer — Process Inbox tasks.
    • Viewer — Read-only access.

Quick Starts

The following scenarios walk you through common starting points. Follow one or all based on your use case.

Build a workflow

Step 1: Create a workflow
  1. Navigate to Workflows.
  2. Click Create Workflow.
  3. Enter workflow details:
    • Name: “Document Summarizer”
    • Description: “Summarizes uploaded documents”
Step 2: Add nodes Build your workflow by adding nodes:
[Start] → [Text-to-Text AI] → [End]
  1. Start Node — Already present, configures trigger.
  2. Text-to-Text AI Node — Add from AI Nodes palette.
  3. End Node — Add to complete the workflow.
Step 3: Configure the AI node Configure the Text-to-Text node:
Node: Summarize Document
Type: text-to-text
Model: gpt-4
Prompt: |
  Summarize the following document in 3-5 bullet points:

  {{input.document_text}}

  Focus on key findings and action items.
Output variable: summary
Step 4: Configure trigger Set how the workflow is triggered:
Trigger TypeUse Case
APICalled from external systems
ScheduleRun on a schedule
ManualTriggered by user in UI
EventTriggered by platform events
Step 5: Test and deploy
  1. Click Test to run with sample input.
  2. Review output and logs.
  3. Click Deploy to make available.
  4. Copy API endpoint for integration.

Add human review

Modify the workflow to include human approval:
[Start] → [Text-to-Text AI] → [Human Review] → [End]
  1. Add Human Node after AI node.
  2. Configure review settings:
Human Node: Review Summary
Task type: approval
Assignees:
  - role: reviewer
Instructions: |
  Review the AI-generated summary.
  Approve if accurate, or edit and approve.
Fields:
  - name: summary
    type: text
    editable: true
  - name: approved
    type: boolean
Timeout: 24h
Use the Inbox
  1. Navigate to Inbox.
  2. View pending review tasks.
  3. Review AI output.
  4. Approve, edit, or reject.
  5. Workflow continues after action.

Configure the Model Hub

View available models
  1. Navigate to ModelsModel Hub.
  2. View available models:
    • Open-source — Hugging Face models.
    • External — OpenAI, Anthropic, Google.
    • Fine-tuned — Your custom models.
Add an external model
  1. Go to External Models.
  2. Click Add Provider.
  3. Configure credentials:
Provider: OpenAI
API Key: sk-...
Models:
  - gpt-4
  - gpt-4o
  - gpt-3.5-turbo
Use the model in a workflow Select the model when configuring AI nodes:
AI Node Configuration:
  model_source: external
  provider: openai
  model: gpt-4
  temperature: 0.7
  max_tokens: 500

Next Steps

GoalResources
Build complex workflowsWorkflows
Explore node typesWorkflow Nodes
Manage human tasksInbox
Deploy custom modelsModel Hub
Design promptsPrompts