AI Tools for Small Business: Claude, ChatGPT and More

AI assistants work like an on-demand virtual assistant who is competent at most tasks, as long as you give it the right context. The leading general-purpose options are Claude, ChatGPT, and you are starting to see more agentic specific platforms like Meta's Muse. This guide covers how to get good results from them and which work is worth handing off.

How do you write a good AI prompt?

Most weak answers come from weak prompts. Structure your request in four parts:

Goal: what you want done.
Return format: how you want the answer laid out, such as a table, an email or bullet points.
Warnings: what to avoid or double-check.
Context dump: everything the assistant needs to know about you, your customers and the situation.

Plan, draft, polish: a better AI workflow

Treat AI as one step in the process, not the whole job. You write an excellent plan (about 30 percent of the effort), the AI produces a strong rough draft (about 60 percent), and you finish with a human polish (about 10 percent): fix what does not sound right and improve the context for next time.

Which tasks should you automate?

A task is a good candidate when it passes three tests. It is frequent (you spend real time on it regularly), repeatable (the process barely changes week to week), and it has enough context for the system to know what good looks like. Weekly reports, first-draft proposals, client estimations, and recurring research are typical examples.

Scheduled tasks and skills in Claude

Once a task passes those tests, Claude can save the instructions as a reusable skill and run it on a schedule, so the work shows up without you asking each time. We even used a skill to help generate this blog article!

Connect AI to your business tools with MCP

The Model Context Protocol (MCP) lets an assistant read from and act in the software you already use. Many vendors now publish an MCP server, so Claude can update your website or pull data without copy and paste.

Use AI in multiple ways

The mobile apps for ChatGPT and Claude accept photos, videos, and voice, so you can snap a picture, upload a video, and ask a question on the spot, whether it is a struggling houseplant or a confusing invoice. Experiment frequently with all different modes of communicating to find what works well for you.

What are the risks of using AI in your business?

AI tools are useful because they can see your information and act on it. That same access is what makes them risky. Start with three basics:

No sensitive data. Be careful what you share. Customer records, passwords, financial account details and anything covered by a confidentiality agreement should stay out. Remembering information is what these tools are good at.
Check privacy settings. Each app has its own controls for memory and for whether your chats are used to train future models. Business and team plans often have stricter defaults than personal accounts, so check which one you and your staff are actually using.
Use trusted tools. AI works best with access to your information, so it is easy to get ahead of your skis. Only connect it to vendors you trust, and grant the minimum access each task needs.

AI security is still a moving target

These tools are changing faster than the security practices around them. New features ship every few weeks, data policies and default settings change with updates, and the ability to connect AI to your email, files and business apps is only a couple of years old. Some important security problems have not been solved yet, and the companies building these tools say so openly. The best-known example is prompt injection: instructions hidden in a web page, email or document that the AI reads and follows as if they came from you. A malicious message could, for example, try to get an assistant to forward private information or take an action you never asked for. No AI company has fully fixed this, and the risk grows as assistants gain the ability to send emails, edit files or make purchases on your behalf. AI can also state wrong information with complete confidence, so anything it produces for customers or for legal and financial decisions needs a human check.

None of this means you should avoid AI. It means you should adopt it intelligently in stages. Start with tasks where the AI only reads and drafts. Keep a person approving anything that sends, pays, publishes or deletes. Review your tools' privacy settings and connected apps every few months, and especially after major updates. What counted as best practice six months ago may already be out of date.