How to Start Using AI in Your Business

If you've been hearing about AI nonstop but still aren't sure where to begin, you're not alone. According to a recent U.S. Chamber of Commerce report, 76% of small businesses are either using AI or actively exploring it — but a huge number of them are winging it without a real plan.

Here in the Roaring Fork Valley, I talk to business owners in Carbondale, Glenwood Springs, and Aspen who all say the same thing: "I know AI is important, but I don't know where to start." This post is for you. No jargon, no hype — just a practical path from curious to capable.

Why Now? The Window Is Closing

The gap between large and small business AI adoption is shrinking fast. In early 2024, big companies used AI at nearly twice the rate of small businesses. By mid-2025, that gap had almost disappeared. Small businesses that start now still have a chance to get ahead of competitors who are dragging their feet.

The numbers back this up: 83% of growing small businesses have adopted AI, compared to just 55% of businesses in decline. That's not a coincidence. AI isn't magic, but it does free up the hours you're currently spending on repetitive tasks — hours you could spend on the work that actually grows your business.

Step 1: Pick One Pain Point

The biggest mistake I see is trying to "implement AI" across the whole business at once. That's a recipe for overwhelm and wasted money.

Instead, ask yourself one question: Where do I spend the most time on repetitive work?

For a restaurant in Basalt, that might be missed phone calls during the dinner rush. For a property manager in Aspen, it could be answering the same guest questions over and over. For a contractor in Glenwood Springs, it might be chasing down late invoices.

Pick one. Just one. That's your starting point.

Step 2: Start With Your Team, Not Your Customers

Before you put AI in front of customers, test it internally. Get your team comfortable using an AI assistant — tools like ChatGPT, Claude, or Gemini — for everyday tasks:

• Drafting emails and responses — turn a few bullet points into a professional message in seconds
• Summarizing documents — hand it a 20-page contract and get the key points back
• Creating social media content — describe what you want and get a first draft to edit
• Analyzing spreadsheets — ask questions about your data in plain English

This isn't about replacing anyone. It's about giving your team a tool that handles the tedious parts so they can focus on what requires a human touch. Businesses that invest in basic AI training see a 29% average productivity boost, according to recent surveys.

Step 3: Run a 30-Day Pilot

Once you've picked your pain point, run a focused pilot. Here's what that looks like:

1. Define success before you start. "Save 5 hours per week on scheduling" is measurable. "Use more AI" is not.
2. Set a budget. Most small business AI tools cost $50-300/month. Start there, not with a $50,000 custom build.
3. Limit the scope. One department, one process, one month. That's it.
4. Track the results. Compare the before and after. Did you actually save time? Did response times improve? Did you capture leads you were missing?

A home services company could pilot an AI answering service for after-hours calls. A law firm could test automated client intake forms. A medical practice could try AI appointment reminders to reduce no-shows.

The point is to get real data, not opinions about whether AI "works."

Step 4: Scale What Works, Drop What Doesn't

After your pilot, you'll have actual numbers. If the AI answering service captured 15 leads you would have missed, that's worth expanding. If the social media tool saved your team 3 hours a week but the content quality was poor, try a different approach.

This is where most businesses get stuck — they either abandon AI after one bad experience or they try to scale everything at once. The right move is to double down on what's working and iterate on the rest.

The businesses seeing the best results treat AI the same way they'd treat any new hire: give it clear responsibilities, measure its performance, and adjust as you learn.

What About the Cost?

Here's the reality: 91% of small businesses using AI report revenue increases, and most see meaningful efficiency gains within 6-12 months. The ROI math usually works out, but only if you start with a clear problem and measure the results.

The real cost isn't the software — it's the time you spend not starting. Every month you put off automating that repetitive process is another month of paying someone (or yourself) to do work a machine could handle.

Getting Started This Week

You don't need a consultant, a strategy deck, or a six-month roadmap. You need to:

1. Identify one repetitive task that eats your time
2. Try an AI tool that addresses it
3. Measure the results for 30 days
4. Decide what's next based on data, not hype

If you're a business owner in the Roaring Fork Valley and you'd like help figuring out where AI fits in your operations, I offer a free audit — no pitch, no pressure. Just a clear picture of what's worth automating and what isn't. Let's talk.