There is a lot of noise around AI right now. Vendors promise it will automate everything. The reality is more nuanced, and more interesting.
What AI Is Actually Good At Today
Forget the sci-fi version. Here is where AI reliably delivers ROI for small businesses:
- Customer support chatbots: Train a chatbot on your FAQ, product docs, and policies. It handles 60-80% of support tickets automatically. The remaining complex cases escalate to humans.
- Document processing: Extracting structured data from invoices, contracts, forms, and PDFs. What used to take a human hours takes AI seconds.
- Content classification: Automatically tagging leads by intent, categorizing support tickets by type, routing emails to the right team.
- Report generation: Summarizing data, drafting weekly reports, and synthesizing meeting notes.
What AI Is NOT Good At
- Making complex business decisions autonomously
- Tasks that require real-world context it was not trained on
- Anything requiring 100% accuracy (hallucination is still a real issue)
Realistic Cost Expectations
A basic AI chatbot integrated with your site and your knowledge base: $600-1,500 to build. Ongoing API costs (GPT-4o or Claude): typically $20-100/month depending on volume. The ROI from even one support agent hour saved per day is usually 10-20x the monthly cost.
Where to Start
Pick the most repetitive, text-based task in your business. If it involves reading something and producing a consistent output, AI can probably do it. Start there, measure the result, then expand.
We have helped businesses in operations, e-commerce, legal, and professional services integrate AI into real workflows. The key is matching the right model to the right task and connecting it to your actual data.