At a Glance

Name: Build a Smart Invoice Dispute Bot with CrewAI & Watsonx
Price: Free CAD
Rating: 0.0 (0 reviews)
Author: jigisha_barbhaya, karan_goswami

Build multi-agent AI systems with CrewAI and IBM Watsonx for automated billing dispute resolution. Apply in-demand AI orchestration skills, agent coordination, and LLM integration. Create intelligent agents that detect invoice anomalies, analyze billing discrepancies, and generate professional dispute responses. This hands-on project teaches essential multi-agent AI development techniques for finance automation—critical skills for AI engineers and developers building enterprise solutions in just 30 minutes!

CrewAI is a powerful framework for orchestrating AI agents that collaborate on complex, multi-step workflows. In this hands-on project, you'll integrate CrewAI with IBM Watsonx using the LLaMA 3 model to build a smart invoice dispute resolution system. The agents will handle tasks such as parsing invoices, detecting discrepancies, validating policies, and drafting professional dispute letters—automating a process that is traditionally manual and time-consuming.

Each agent is assigned a focused role—like invoice parsing, validation, or response generation—while CrewAI handles coordination, task delegation, and shared memory. Watsonx enhances each agent’s language and reasoning capabilities, enabling a scalable, intelligent system applicable across finance, procurement, and customer service domains.

By completing this project, you’ll gain hands-on experience with multi-agent systems, schema-based prompting, and structured output generation—skills essential for building real-world AI solutions.

Who Should Enroll

Developers, data analysts, and business professionals looking to automate invoice-related workflows
Anyone eager to learn how AI agents collaborate to extract, analyze, and act on structured data
Learners interested in practical applications of CrewAI, IBM Watsonx, and LLM-based orchestration

Why Enroll

In just 30 minutes, you'll go from concept to execution—building an AI-powered invoice dispute bot through clear, practical steps. This project offers a real-world use case to deepen your understanding of agent collaboration, language models, and intelligent automation. Whether you're new to AI or looking to advance your skills, you'll walk away with a functional prototype and the confidence to apply these techniques in production settings.

A Look at the Project Ahead

After completing this guided project, you will be able to do:

Understand CrewAI's architecture – Explain the roles of agents, tasks, and the Crew structure for orchestrating multi-agent workflows.
Set up and integrate Watsonx LLM (LLaMA 3)- Configure and use IBM Watsonx with the LLaMA 3 model to enable structured outputs and reasoning-driven tasks within CrewAI agents.
Design intelligent agents – Create agents with defined roles, tools, memory, and behavior tailored to real-world scenarios like invoice processing and validation.
Build collaborative task workflows – Orchestrate multiple agents to perform complex, end-to-end tasks such as data extraction, validation, anomaly detection, and communication.

What You'll Need

Technical Requirements: A basic understanding of Python programming. Experience with AI or LLMs is helpful but not required.

Browser Setup: A modern web browser to access CrewAI tools, follow the guided environment, and run your code.

Offered By: IBMSkillsNetwork

Build a Smart Invoice Dispute Bot with CrewAI & Watsonx

At a Glance

Who Should Enroll

Why Enroll

A Look at the Project Ahead

What You'll Need