To use AI to understand business performance, connect the tool you use to relevant company data, then ask specific questions about sales, results, and departments. Abdul Osama (عبدول أسامة) explains that the point is not to use AI in isolation: it is to use AI to analyze data and help decision-makers see what is happening.
“The most important thing now is to connect the systems you already have.” — Abdul Osama
What data does he mean?
Abdul mentions Excel files, which are spreadsheets for organizing data, and CRM systems, which manage customer information and interactions. He also mentions Shopify, an e-commerce platform that can hold sales data.
He suggests connecting that data to an AI tool such as Claude, ChatGPT, or DeepSeek—tools that can answer questions and work with information. He also mentions Hermes in the context of an AI agent, meaning an AI-powered assistant. His broader point is that the tool’s name matters less than connecting it to useful data.
What should you ask?
- What is happening to sales results?
- Where should the business focus its effort to improve results?
- Which departments need a closer look?
Abdul says finding some of these answers used to take weeks or months, especially in companies where information is slow to move between departments. When he starts work with a client, he says his first thought is to analyze the current situation and locate the problem.
Background
An AI analysis depends on the quality of the data it receives and the clarity of the question. Connecting systems does not automatically make the conclusions correct; checking them against the underlying records remains important.
What to do next
List the sales and customer data sources you already have. Choose one question you need answered, then check whether your AI tool can access the data needed to answer it.