Using AI in Your Business: A Practical Guide for Decision Makers

Where AI Helps in Day-to-Day Business

In everyday business, AI is most useful for repetitive routine tasks that take up a lot of your team's time:

• •Answering the same internal questions over and over (HR policies, IT procedures, compliance rules)
• •Searching through large document archives to find specific information
• •Summarizing long reports, contracts, or meeting transcripts
• •Drafting routine business correspondence and documentation
• •Screening and comparing applicant documents
• •Checking invoices and purchase orders for errors

The Three Ways to Get Started

There are essentially three paths to AI in business. Cloud AI services like ChatGPT are the quickest: you sign up and start using them, but your data goes to external servers. Hybrid solutions keep some data local while using cloud computing power. On-premise solutions run entirely on your own hardware and give you full control. The right choice depends on what kind of data you work with and what regulations apply to your industry.

What You Need to Know About Data Privacy

This is where many AI projects stall. When employees paste customer data, contracts, or financial information into ChatGPT, that data is processed on servers you don't control. For many industries, this creates legal problems. The GDPR requires you to know where personal data is processed and to have appropriate agreements in place. The upcoming EU AI Act adds further requirements. If your business handles sensitive data (and most do), you need to settle this before choosing an AI tool.

How to Choose the Right AI Solution

Ask yourself these five questions before picking an AI platform:

• •What kind of data will employees use with the AI? If it's sensitive, cloud may not be suitable.
• •What regulations apply to your industry? Finance, healthcare, and legal have specific requirements.
• •How many employees will use it? This affects whether cloud or on-premise is more cost-effective.
• •Do you need the AI to understand your internal documents? If yes, look for solutions with document analysis (RAG) capabilities.
• •What's your IT capacity? On-premise needs a server and basic setup; cloud needs an internet connection.

Starting Small: A Practical First Step

Don't try to change everything at once. Pick one department with a clear problem, for example HR answering the same policy questions again and again, or the legal team spending hours searching contract archives. Set up a pilot project with 5-10 users. Measure the time saved. Then expand from there. Most companies see productivity improvements within the first two weeks of deployment.