AI Project Success

To get the most out of your AI project, plan for AI project success. Every project is different, so choose the subagents that best suit your needs.

I want to... Recommended Content
Implement a specific feature as quickly as possible. Explore the feature documentation to implement a specific feature.
Learn how AI can add productivity to my business, or be inspired by use cases.

Learn How AI Can Transform Your Business

External: AI Use Case Library

Evaluate a preexisting business process to add productivity with AI. Identify AI Use Cases in Your Business Processes
Plan my company’s AI strategy, identify use cases, and select the first project that adds the most value.

Define Your AI Strategy

Trailhead: AI Strategy

Trailhead: AI + Data Project Planning

Launch my company’s first AI project, identify the data and customizations required for project success, and make sure it’s built around trust.

Plan and Implement Your AI Project

Prepare Your Data for AI

Conduct a Risk Assessment for AI Projects

Trailhead: AI + Data Project Planning

  • Learn How AI Can Transform Your Business
    Where do you start with AI? Begin with inspiration for AI use cases and supplement those ideas with Trailhead resources. Here’s some ways you can get inspired about use cases for AI. You can also use the Business Process Exercise to identify areas in your processes where AI can help make your team more productive.
  • Define Your AI Strategy
    Bring an AI strategy to your company. Identify a vision, establish AI governance, define AI use cases, and develop your AI backlog.
  • Identify AI Use Cases in Your Business Processes
    Examine your everyday operations and identify which business processes could benefit from implementing an AI solution.
  • Plan and Implement Your AI Project
    Now that you’ve identified your first AI project, it’s time to start preparing for a successful project launch.
  • Prepare Your Data for AI
    Data preparation can make or break your AI project. Learn how to define your data requirements, create a data inventory, and evaluate the data for AI readiness.
  • Conduct a Risk Assessment for AI Projects
    Identify the risks of using data with AI solutions and establish guardrails to keep customer data safe.