Avoiding AI Implementation Pitfalls: Lessons from Businesses Like Yours

AI can deliver big benefits-but only if it’s set up right. Here are common mistakes SMBs make with AI (and how to avoid them).

1. Trying to Do Everything at Once

It’s tempting to automate every process, but this can overwhelm your team. Start with one or two high-impact areas and grow from there.

2. Ignoring Your Team’s Input

Your staff know the day-to-day pain points. Involve them early, and you’ll spot better opportunities (and get more buy-in).

3. Overlooking Data Quality

AI is only as good as the data you feed it. Make sure your information is up to date and well organised before automating.

4. Skipping Training

Even user-friendly tools need a little introduction. A short training session can save hours of confusion.

5. Expecting Instant Results

AI can deliver quick wins, but some benefits take time. Set realistic goals and track progress.

Real-World Lesson

One client tried to automate their entire customer service process at once. It led to confusion and missed messages. After scaling back and focusing on just email responses, they saw a 30% improvement in response time-and much happier staff.

Thinking about your own AI journey?
Our “Implementation Health Check” at Carbon and Code can help you spot potential pitfalls before you start-saving you time, money, and headaches.