We are a thirty-person service company running on EOS, and our client onboarding process is bottlenecked because we have to manually review and extract data from dozens of client documents. What is a practical, low-risk first AI project to streamline this without a massive development budget?

Question

Tyler Smith · Accepted Answer

The best first project is to automate the intake and data extraction of your onboarding documents. This is a highly repetitive, low-value task that keeps your account managers stuck in administrative quicksand instead of delivering high-value service to your clients.

Instead of building a custom software platform, you can hire an AI agent using basic, off-the-shelf tools like OpenAI Assistants API. You do not need a team of developers. You can set up a simple workflow where incoming client documents are automatically routed to the AI agent. The agent reads the documents, extracts the key data points, and populates your CRM or project management system.

To get started, follow these steps:
- Document the exact steps your team takes to review an onboarding document.
- Define the specific data fields that must be extracted every single time.
- Set up a simple integration that passes the documents to the AI agent for review.
- Create a safety valve where a human in the onboarding seat reviews the output before it is finalized.

This project is low-risk because a human is still holding the accountability for the final output. It immediately frees up hours of capacity for your onboarding team, allowing them to focus on client relationships. It also shows your team that AI is not a threat to their jobs, but a tool that elevates them to higher-value work.