Configure Remittance Worker Agent

Prerequisites

Before starting this test drive:

• Request access to Sema4.ai Studio (opens in a new tab) if you haven't installed it yet
• Ensure you have an OpenAI or Azure OpenAI API key
• Familiarize yourself with key components of Intelligent Work Management including Worker Agents and Work Items
• Review the Payment Remittance Reconciliation Use Case section

Launch Try Now Worker Agent

1. Open Sema4.ai Studio
2. Click "Try Now" in the worker agents card on the Home Page

Worker Agent Setup Overview

The Agent Configuration screen presents six core setup steps that define your agent's capabilities:

1. Name and Description: Identify and describe your agent's purpose
2. Document Type: Select the specific document type this agent will process
3. Runbook: Define the agent's processing logic
4. LLM Configuration: Set up the language model
5. Actions: Choose the actions available to your agent

Configure the Agent LLM

For the Payment Remittance Agent test drive, the only configuration required is setting up the Large Language Model (LLM). The LLM serves as the agent's reasoning engine, enabling intelligent decision-making throughout document processing.

Follow these steps to configure the LLM:

1. Click "Create new model"
2. Configure the model:
   • Name: OpenAI GPT4o
   • Select model version
   • Enter API Key
3. Click "Test" then "Save Model"
4. Click "Confirm"

Once configured, click "Update" to deploy the agent locally in Studio.

Next Steps